Consumer evidence
5 evidence classes and 12 marked fixtures are defined. The current attributable production-migration count is 0. A request, parse, cache hit, or aggregate statistic is not a cutover.
AI PSYOPS · CLAIM LIFECYCLE · WIP.72
Thirteen permanent records show current wording, append-only history, WIP.72 release deltas, evidence limits, formal schema conformance, correction-observability stages, external receipt boundaries, and what would reopen each assessment.
How to read this page
Prepared for review is not reviewed. Submitted is not accepted. Schema-valid or signature-valid is not endorsed. A reviewer assertion is not automatically the repository conclusion. A visible correction notice is not complete downstream repair. Closure requires current public wording, durable records, indexes, manifests, structured data, automated retests, and any authorized human retest.
Integrity is not authenticity, and neither proves truth. Distribution is not reach; reach is not exposure; exposure is not attention; engagement is not persuasion; behavior is not strategic effect. A detected behavioral or biometric signal is not direct knowledge of a mental state.
External silence is not repair. When there is no direct request or acknowledgment receipt, external completion is reported as UNKNOWN_NOT_INFERRED.
WIP.72 accountability layers
5 evidence classes and 12 marked fixtures are defined. The current attributable production-migration count is 0. A request, parse, cache hit, or aggregate statistic is not a cutover.
20 synthetic receipt cases exercise request identity, payload hashes, replay, timestamps, direct versus indirect acknowledgment, partial completion, and outside-control states. Real requests and direct acknowledgments remain 0 / 0.
299 target-level provenance records and 16 fail-closed scenarios distinguish public wording changes from complete repair. Accepted corrections and closure-authorized graphs remain 0 / 0.
5 operator identity classes, 8 role rows, and 10 marked fixtures test role, dual-control, budget, quarantine, dead-letter, and audit-chain boundaries without creating a reviewer or real queue item.
16 synthetic rehearsals cover consent, privacy, withdrawal, accessibility, incident, retention, and packet-integrity conditions. Human testing remains PREPARED_NOT_EXECUTED, with 0 participants and 0 sessions.
Prepared is not sent. Sent is not acknowledged. A direct acknowledgment is not complete correction. A valid graph is not closure. A synthetic operator receipt is not review evidence. Automated accessibility checks are not human accessibility or comprehension certification.
WIP.72 evidence and control layers
6 contracts, 24 fail-closed fixtures, and 13 empty claim staging records preserve raw bytes without execution or automatic acceptance.
13 zero-state summaries and 18 lineage fixtures distinguish cutover, partial use, failure, rollback, supersession, and withdrawal. Proven production migrations remain 0.
24 synthetic bundles exercise multi-target, conflicting-responder, key-rotation, replay, clock, ordering, and reopened-completion cases without contacting a third party.
13 claim-level target comparisons and 20 conflict fixtures keep stale derived data, package/runtime drift, accessibility retests, and outside-control targets open. Accepted corrections remain 0.
7 immutable gap declarations, 14 repair fixtures, 14 separation-of-duty fixtures, and 10 recovery fixtures create no reviewer or real queue item.
14 recruitment gates, 8 facilitator controls, 12 formats, 8 interpreter controls, 5 severity levels, and 10 withdrawal/deletion/compensation fixtures remain PREPARED_NOT_EXECUTED.
CLAIM-REAL-01-REPAIR
Stopping or reversing an error does not automatically repair every copied record or downstream harm.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
Wording SHA-256: c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bc
Record digest: 4e90112e59d8faf67fd3f218e14acaf3a93aea074c924cd6c0ae4cdd21637796
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-01-repair
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-01No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-01No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Remedy must be decomposed into notice, access, authoritative review, reversal, restoration, data correction, downstream propagation, compensation, repeat prevention, and unresolved harm.
That every appealed system fails downstream repair or that every reversal is ineffective.
Published testimony and institutional findings can establish experienced harms without making every account representative.
Scope limit: That every appealed system fails downstream repair or that every reversal is ineffective.
AUTH-03-META-OVERSIGHT-AYAHUASCASupports: Removal and appellate reversal · Notice and rule-clarity deficiencies · Restoration ordered after appeal
Does not support: Restoration of prior reach or recommendation position · Correction of all account or ranking signals · Compensation or complete downstream repair
AUTH-04-ROBODEBT-ROYAL-COMMISSIONSupports: Official inquiry findings and chronology · Institutional process failures · Published testimony and affected-person evidence within the inquiry record
Does not support: That every individual harm or death had one exclusive cause · That all automated public-benefit systems share the same design · A universal remedy outcome
AUTH-35-ROBODEBT-2026-SETTLEMENTSupports: Settlement approval date · Additional compensation amount and relation to earlier refunds and debt zeroing · Appointment of a settlement administration process
Does not support: Individual complete repair · Correction of every downstream record or inference · A merits judgment on every disputed issue
AUTH-36-ROBODEBT-INCOME-APPORTIONMENT-RESOLUTIONSupports: Existence, eligibility pathway, and dates of the resolution scheme · A separate remedy mechanism for eligible affected people
Does not support: Take-up, accessibility, approval, or rejection rates · Complete compensation · Downstream data correction or repeat-error prevention
AUTH-37-ROBODEBT-NACC-MYRTLEFORDSupports: The scope and findings of the NACC investigation · Specific accountability findings concerning events in 2015 and 2017
Does not support: Criminal conviction · Complete institutional reform · Complete repair to affected people
AUTH-24-SYRI-DATA-DESTRUCTIONSupports: An official statement that SyRI-processed data had been destroyed by June 2022 · An official statement that responsible bodies did not make decisions based on SyRI-derived data · SyRI algorithms and criteria were not used in the named Detectie aan de Poort systems
Does not support: Independent forensic verification of destruction · Deletion from every backup, derivative, vendor, or institutional system · Complete repair for communities subjected to SyRI projects
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
142588df2e74c96e99cec35f4dffd1c40e8e30b140164151346a932997ddfe0cExact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm.
74c79bb0c609b2371ebfef9d5af1ab873d982c07958db9eb503841b5d7f69a32Added 2026 remedy implementation context while retaining the incomplete-repair boundary.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. The 2026 Robodebt settlement and resolution schemes document additional remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
c053dbcc70fd5629d622f12034ce0b5080ec0f44153def96c4b647b1cd88a1bcWIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
A successful appeal, reversal, settlement, or restored account can stop an immediate error without repairing every copied record, derived score, ranking signal, vendor system, financial loss, reputational consequence, or psychological harm. Federal Court approval on 23 June 2026 of an additional Robodebt settlement documents compensation and remedy stages, not proof of complete downstream repair.
CLAIM-REAL-02-UNLEARNING
Deleting source data or blocking outputs is different from proving that a model has unlearned an influence.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
Wording SHA-256: 68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0
Record digest: d80ee8995eab9f042d574bc63a84ffdb9030c03cebdc5b68dee9add250d5581e
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-02-unlearning
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-02No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-02No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Source deletion, suppression, output blocking, retraining, and influence removal are distinct interventions.
That exact unlearning is feasible for every model or that a specific implementation satisfies law.
A person’s right to correction does not imply that every probabilistic inference can be labeled factually true or false without context.
Scope limit: That exact unlearning is feasible for every model or that a specific implementation satisfies law.
AUTH-08-NIST-MACHINE-UNLEARNINGSupports: A bounded authoritative definition of machine unlearning · The distinction between training-data influence removal and simple record deletion
Does not support: That every unlearning method is exact · That output blocking removes model influence · Legal compliance for any specific implementation
AUTH-09-SISA-UNLEARNINGSupports: A concrete architecture for efficient data-removal workflows · Technical distinction between full retraining and bounded retraining
Does not support: Perfect unlearning for every model class · Legal sufficiency · Removal from downstream vendors, logs, or backups
AUTH-40-GOOGLE-UNLEARNING-AUDIT-2026Supports: Existence and described scope of a new auditing framework · The distinction between performing and auditing unlearning · The need for statistical evidence rather than UI-level deletion claims
Does not support: Exact deletion in deployed foundation models · Production deployment across vendors · Elimination of every memorized or inferential effect
AUTH-41-ICLR-BENIGN-RELEARNINGSupports: Reversibility risk for evaluated methods and datasets · A distinction between obfuscation and robust forgetting · Need for adversarial evaluation of unlearning claims
Does not support: Failure of every unlearning method · Production-vendor deletion outcomes · Exact recovery of every target item
AUTH-52-UNLEARNING-SYSTEMATIC-AUDIT-2026Supports: Unlearning auditability remains an open technical problem · Failed extraction or membership tests do not automatically prove exact forgetting · Residual information leakage must be evaluated separately from ordinary output suppression
Does not support: A universal failure of every unlearning method · Exact behavior of any named production foundation model · Legal compliance in a specific jurisdiction
AUTH-39-NIST-AML-UNLEARNINGSupports: Recognizes machine unlearning and distinguishes exact and approximate approaches.
Does not support: That any named production model has achieved exact audited unlearning or legal compliance.
AUTH-40-UNLEARNING-AUDIT-2026Supports: Documents that auditing whether unlearning truly erases influence remains an open technical challenge and evaluates multiple methods.
Does not support: Peer-reviewed consensus, universal failure, or production deployment validity.
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
f4991458d196251f96a9c52d16dca76418f314e893860424910a8d75d683be49Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Deleting a source record or blocking an output does not by itself remove the record’s learned influence from model weights, embeddings, features, memories, caches, backups, or downstream recipients.
bc3abebf2c96c63a295b6020879d30f01729c221315aa58465792b0f7d986fb9New 2026 auditing research requires explicit separation of suppression, approximate unlearning, exact forgetting, and production validation.
Source deletion, suppression, output blocking, model editing, retraining, and machine unlearning are distinct interventions. Current public audits do not establish that a named production foundation model has exactly removed a requested influence or reached retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
68276f0748259f644274db399fd2f54e3fdea5b981e7c18081c971807332e9b0WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
Source deletion, suppression, output blocking, model editing, retraining, exact unlearning, and approximate unlearning are distinct interventions. Current standards and public research do not establish that a named production foundation model has exactly removed a requested influence or reached independently audited retraining-equivalent behavior across hidden and observable pathways.
CLAIM-REAL-03-MENTAL-STATE
A detected movement or signal is not direct knowledge of a person's emotion, intent, loyalty, or dangerousness.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
Wording SHA-256: 8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5
Record digest: c396b83dea65983305e959adff4639169ca7ca1be394864bfc944a007e448fef
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-03-mental-state
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-03No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-03No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Sensor and feature accuracy must be separated from label quality, construct validity, calibration, generalization, base rates, subgroup burden, and institutional action.
That no behavioral or physiological signal has any predictive utility for any narrow purpose.
Subgroup performance, disability, neurodiversity, and cultural expression require separate evaluation.
Scope limit: That no behavioral or physiological signal has any predictive utility for any narrow purpose.
AUTH-10-BARRETT-FACIAL-MOVEMENTSSupports: Construct-validity caution for facial emotion inference · Context, culture, and individual variation
Does not support: That facial movement detection itself is impossible · That every affective-computing application has zero utility · Validity of other modalities without separate evidence
AUTH-05-EU-AI-ACTSupports: Exact enacted text and jurisdictional scope · Article 5 prohibition categories and exceptions · Application schedule stated in the Regulation
Does not support: A universal cognitive-liberty code · Uniform implementation outside the EU · A scientific finding that all emotion inference is invalid
AUTH-42-ACM-WORKPLACE-EMOTION-RECOGNITIONSupports: Documented design proposals and claimed workplace uses · The gap between sensed proxies, inferred labels, and institutional action · Privacy, labor, and validity concerns
Does not support: Independent construct validity for a specified deployed system · Clinical knowledge of employee emotion · Population-wide performance
AUTH-43-ACM-JOB-INTERVIEW-EMOTION-AISupports: Affected-user perceptions of procedural justice in the studied interview context · Potential emotional labor and fairness burdens
Does not support: Construct validity of the emotion score · Hiring outcome benefit or predictive validity · Generalization to every hiring system
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
a0eb60715b9f97c8a4f55bab5268536208a4def639ceb4e71e8b0e0d94948c11Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
A system may detect a facial movement, voice feature, gaze pattern, physiological signal, or interaction trace without validly determining a person’s emotion, deception, loyalty, attention, vulnerability, or intent.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5Restated the distinction between signal detection and named-construct validity after the refreshed field search.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
8ab000762a883875380f4d8d7d02dd9693161799449b51a5be32c3724613d4c5WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
A system may detect a facial movement, vocal feature, gaze pattern, physiological signal, or interaction trace without reliably establishing the person’s emotion, deception, loyalty, vulnerability, intent, or dangerousness. Independent construct-specific field validity remains incomplete.
CLAIM-REAL-04-LAW
Rules about cognitive liberty, neural data, biometrics, and AI vary by jurisdiction and legal stage.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
Wording SHA-256: 5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ff
Record digest: 031a548591dcc3118e16aa5f67feabe0710cc0f912117e06a739e83a216bfe7b
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-04-law
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-04No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-04No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Legal status must separate proposal, enactment, entry into force, application, guidance, complaint, enforcement, settlement, judgment, amendment, repeal, and supersession.
Legal advice, universal application, or uniform enforcement.
Formal rights may remain inaccessible because of cost, language, disability, retaliation, or standing barriers.
Scope limit: Legal advice, universal application, or uniform enforcement.
AUTH-05-EU-AI-ACTSupports: Exact enacted text and jurisdictional scope · Article 5 prohibition categories and exceptions · Application schedule stated in the Regulation
Does not support: A universal cognitive-liberty code · Uniform implementation outside the EU · A scientific finding that all emotion inference is invalid
AUTH-06-COLORADO-NEURAL-DATASupports: Existence and official status of the Colorado measure · Jurisdiction-bounded neural-data protection
Does not support: A federal U.S. neurorights regime · Universal mental-privacy protection · How every neural-data product will be enforced
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
c7dec817644a7ab25ca69d5dc0723ac789c951391767623157dc97f03cb80f56Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Current protections for neural data, emotion inference, manipulation, automated decisions, and mental privacy are distributed across jurisdictions and legal instruments; no single universal cognitive-liberty code governs every system.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffCurrentness was reviewed; no universal-law conclusion was added.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
5dd0fc5f0305048f8f836ef0a56162a6e0831bf4ebbef1065e429c55166cc3ffWIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
Cognitive-liberty, neural-data, biometric, automated-decision, and AI-manipulation rules remain jurisdiction-specific, staged, and uneven. A proposal, guidance document, settlement, trial judgment, or one jurisdiction’s enacted rule is not a universal code.
CLAIM-REAL-05-VISIBILITY
Restoring visible content does not by itself prove that ranking, recommendation, strikes, income, or copied records were repaired.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
Wording SHA-256: cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62
Record digest: bd1abfd33960a7d5c89bd928e664b6550053ffb579574039434cb62ecbd4215a
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-05-visibility
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-05No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-05No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
A content item can be restored without evidence that reach, recommendation, strikes, monetization, or copied signals were repaired.
That every traffic decline is suppression or every ranking change is censorship.
Creator income and audience effects require attributable evidence rather than inferred reach loss.
Scope limit: That every traffic decline is suppression or every ranking change is censorship.
AUTH-03-META-OVERSIGHT-AYAHUASCASupports: Removal and appellate reversal · Notice and rule-clarity deficiencies · Restoration ordered after appeal
Does not support: Restoration of prior reach or recommendation position · Correction of all account or ranking signals · Compensation or complete downstream repair
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
df612ae922150518bc448a957d871e697a927e5becccee7c5e92455052bd5265Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalties, synthesized reframing, and profile changes are different interventions with different notice, evidence, appeal, restoration, and downstream effects.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62Made downstream ranking, recommendation, strike, and income repair explicit.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
cb2fa8aaa0207a90deffb4195a0d359429f28c4c4ab1e2d263c987dd7f4d1a62WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
Removal, restriction, search exclusion, recommendation exclusion, downranking, labeling, monetization change, account penalty, personalized refusal, synthesized reframing, and persistent-profile change are different actions. A visible restoration does not by itself show that ranking, recommendation, strikes, income, or downstream records were repaired.
CLAIM-REAL-06-AFFECTED-EVIDENCE
First-person and affected-community evidence matters, but one account is not automatically representative of a population.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
Wording SHA-256: d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8
Record digest: c78186cf587270371fe89f5b7bd091f4fa0e95d48732439eaacf6ea455a59ed7
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-06-affected-evidence
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-06No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-06No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Affected-person evidence belongs in governance analysis with consent, privacy, retaliation, selection, nonresponse, and representativeness limits.
Population prevalence from a case collection or an exclusive causal chain for every reported harm.
No project-run interviews, consent, or community endorsement are claimed in WIP.56.
Scope limit: Population prevalence from a case collection or an exclusive causal chain for every reported harm.
AUTH-04-ROBODEBT-ROYAL-COMMISSIONSupports: Official inquiry findings and chronology · Institutional process failures · Published testimony and affected-person evidence within the inquiry record
Does not support: That every individual harm or death had one exclusive cause · That all automated public-benefit systems share the same design · A universal remedy outcome
AUTH-35-ROBODEBT-2026-SETTLEMENTSupports: Settlement approval date · Additional compensation amount and relation to earlier refunds and debt zeroing · Appointment of a settlement administration process
Does not support: Individual complete repair · Correction of every downstream record or inference · A merits judgment on every disputed issue
AUTH-36-ROBODEBT-INCOME-APPORTIONMENT-RESOLUTIONSupports: Existence, eligibility pathway, and dates of the resolution scheme · A separate remedy mechanism for eligible affected people
Does not support: Take-up, accessibility, approval, or rejection rates · Complete compensation · Downstream data correction or repeat-error prevention
AUTH-43-ACM-JOB-INTERVIEW-EMOTION-AISupports: Affected-user perceptions of procedural justice in the studied interview context · Potential emotional labor and fairness burdens
Does not support: Construct validity of the emotion score · Hiring outcome benefit or predictive validity · Generalization to every hiring system
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
24653f661cd21a1634aa0d9fa21ae0ffc548df7237a16e6b62b48fc7c5822665Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Attributed first-person, representative, institutional, aggregated, anonymized, and derivative evidence can document serious algorithmic harms, but none should be treated as automatically representative of every affected person or as proof of one exclusive causal mechanism.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8Evidence-type and representativeness boundaries remain unchanged.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
d55f61ab535195e1e73271068dc0c61a0ccccd02000ea63ee3054b4edf71e2e8WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
First-person, representative, institutional, aggregated, anonymized, and derivative evidence can document different parts of an AI-governance harm. None should be silently converted into prevalence, universal causation, representativeness, or affected-community endorsement.
CLAIM-REAL-07-COMPANION-SAFETY
A regulatory inquiry records concern and information gathering; it does not by itself prove clinical causation or wrongdoing.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
Wording SHA-256: 1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209
Record digest: 82916f3a3e204f2126363a030e1a7b15e9fefecb2c113a7d2aa36712e2f24539
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-07-companion-safety
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-07No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-07No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Companion-system safety requires product-design, age, disclosure, data, engagement, crisis, and dependency review.
Prevalence, diagnosis, causation, negligence, or liability.
Families and users should be represented through attributable, consent-aware records with withdrawal and retaliation safeguards.
Scope limit: Prevalence, diagnosis, causation, negligence, or liability.
AUTH-01-FTC-COMPANION-INQUIRYSupports: Existence and scope of the FTC inquiry · The companies and issue areas named by the FTC · Regulatory concern requiring further information
Does not support: A completed enforcement finding · Clinical causation · Product-specific liability or prevalence of harm
AUTH-33-FTC-2026-COMPANION-REMARKSSupports: The inquiry remained an active information-gathering matter in March 2026 · The seven-company scope and subject areas
Does not support: Public findings, final enforcement, settlement, or closure · Product-specific wrongdoing · Clinical causality
AUTH-49-FTC-2026-OVERSIGHT-TESTIMONYSupports: The inquiry remained part of the FTC’s publicly described work in April 2026 · The inquiry is a study rather than a completed enforcement finding · The agency continued to describe the study’s child- and teen-safety scope
Does not support: A public final report, closure, settlement, or enforcement disposition · Product-specific wrongdoing or clinical causation · The contents of confidential company responses
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
e4c43349c2e0f201beec4751b7204753f6e8ef51fbf6e114a9090ef9dd312152Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
The FTC’s companion-chatbot inquiry establishes an official demand for information about safety, children and teens, disclosures, monetization, and data practices; it is not a completed finding that any product caused a psychiatric condition.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209Added April 2026 FTC testimony confirming the study remained ongoing without public findings.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
1b3e56c698a1acdaa35491f0f6ef35f715176c8bee093dea594ca69b6f5f0209WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
The FTC’s companion-chatbot work remained publicly described as an ongoing Section 6(b) study in April 2026. An inquiry documents regulatory concern and information gathering; it is not a completed finding of wrongdoing, clinical causation, or prevalence.
CLAIM-REAL-08-INCIDENT-EFFECT
Proving that an incident occurred is not the same as proving exposure, persuasion, behavior change, or strategic effect.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
Wording SHA-256: cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253e
Record digest: eebdb383aa648e743cf2a9824777db77fb80976ff43dcfb4a41c9f68c2437034
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-08-incident-effect
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-08No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-08No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Incident analysis must separate existence, content, coordination, identity, sponsorship, intent, output, distribution, availability, reach, exposure, attention, recall, comprehension, credibility, belief, intention, behavior, operational outcome, and strategic effect.
Recipient belief, turnout change, electoral outcome, or broad AI persuasion effectiveness.
Recipient experience is not inferred without attributable testimony or research.
Scope limit: Recipient belief, turnout change, electoral outcome, or broad AI persuasion effectiveness.
AUTH-02-FCC-BIDEN-ROBOCALL-FINESupports: Artifact and distribution channel existence · Named operator in the FCC action · Spoofing and robocall enforcement disposition
Does not support: How many recipients believed the call · Any measurable change in voting behavior · Broader strategic election effect
AUTH-19-OPENAI-COVERT-IOSupports: Provider-observed misuse patterns and disruptions · Bounded lack of observed reach/engagement uplift in provider data
Does not support: No exposure or effect anywhere · No off-platform activity · Independent attribution beyond provider evidence
AUTH-34-FCC-2025-ROBOCALL-CONGRESS-REPORTSupports: Final FCC forfeiture order status · The agency’s 2024 enforcement and collection reporting context
Does not support: Payment, collection, modification, or judicial disposition after the period covered · Voter behavior or election outcome effects · State-level proceedings not described in the report
AUTH-44-UKRAINE-DFRLAB-ZELENSKYYSupports: Artifact existence, distribution channels, and rapid public debunking · Observed ridicule and some contrary interpretations in online comments
Does not support: Representative recipient exposure or belief · Frontline disruption · Operator identity, sponsorship chain, behavior change, or strategic effect
AUTH-50-FCC-FY2024-FINANCIAL-REPORTSupports: Post-order referral to DOJ for collection · Continued agency treatment of the action as an enforcement matter · A distinction between the forfeiture order and actual collection
Does not support: Payment, collection, settlement, or a judicial judgment collecting the forfeiture · Recipient belief or voting behavior · A final state-law disposition for every related proceeding
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | SUPPORTED_WITH_STATED_LIMITS |
| Actor identity | PARTIALLY_SUPPORTED_WITH_STATED_LIMITS |
| Sponsorship | NOT_ESTABLISHED |
| Intent | NOT_ESTABLISHED |
| Output | SUPPORTED_WITH_STATED_LIMITS |
| Distribution | SUPPORTED_WITH_STATED_LIMITS |
| Availability | SUPPORTED_WITH_STATED_LIMITS |
| Reach | PARTIALLY_SUPPORTED_WITH_STATED_LIMITS |
| Exposure | NOT_ESTABLISHED |
| Attention | NOT_ESTABLISHED |
| Recall | NOT_ESTABLISHED |
| Comprehension | NOT_ESTABLISHED |
| Credibility | NOT_ESTABLISHED |
| Belief or attitude | NOT_ESTABLISHED |
| Intention | NOT_ESTABLISHED |
| Behavior | NOT_ESTABLISHED |
| Operational outcome | NOT_ESTABLISHED |
| Strategic effect | NOT_ESTABLISHED |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
7fe903cf6f72e7abac78b6221aa01a4ab657b4eddce49b0edffe6ba77fe92ca9Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
The New Hampshire Biden robocall is documented as an AI-generated impersonation, spoofed distribution event, and enforcement matter; the available authority does not establish how many recipients believed it or whether voting behavior changed.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eThe complete effect chain remains the controlling interpretation.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
cacb10c7d46a7b62e06cb46edf7c9dde9873ed6857acad9a22f96a055dd7253eWIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
A verified artifact, coordinated distribution, operator record, or enforcement action can establish an incident without proving recipient exposure, belief, intention, behavior change, operational outcome, or strategic effect.
CLAIM-REAL-09-SWARM-DETECTION
Coordination is better supported by behavior and infrastructure evidence than by an AI-content score alone.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
Wording SHA-256: de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6
Record digest: de44dc67bc445f54a5097c436db07c77ba60717d3c1bea55518d6be9cc6d5994
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-09-swarm-detection
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-09No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-09No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Content generation, coordination, actor identity, sponsorship, intent, and effect are separate claims.
That pseudonymous users, non-native writers, activists, role-players, or neurodivergent users are bots because of linguistic style or imagery.
False-positive burden must be evaluated for marginalized, anonymous, and emergency-response communities.
Scope limit: That pseudonymous users, non-native writers, activists, role-players, or neurodivergent users are bots because of linguistic style or imagery.
AUTH-18-META-CIB-2022Supports: Platform-observed use of synthetic profile imagery · Behavior-centered CIB detection principle
Does not support: State sponsorship from an image alone · AI authorship of all content · Audience persuasion or strategic effect
AUTH-19-OPENAI-COVERT-IOSupports: Provider-observed misuse patterns and disruptions · Bounded lack of observed reach/engagement uplift in provider data
Does not support: No exposure or effect anywhere · No off-platform activity · Independent attribution beyond provider evidence
AUTH-46-VIGINUM-ACTIVITY-2024Supports: Published mandate and data-governance controls · Publicly stated minimization, retention, and oversight mechanisms · Operational activity described by the institution
Does not support: Independent false-positive rate · Incident-level appeals or correction outcomes · Affected-community experience
AUTH-48-VIGINUM-MUNICIPAL-2026Supports: Four operations reported by VIGINUM for the election period · Public reporting and threat-characterization workflow · Institutional attribution confidence as stated in the report
Does not support: Independent verification of every attribution · False-positive, appeal, or correction outcomes · Voter belief or behavior change
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | SUPPORTED_WITH_STATED_LIMITS |
| Actor identity | NOT_ESTABLISHED |
| Sponsorship | NOT_ESTABLISHED |
| Intent | NOT_ESTABLISHED |
| Output | PARTIALLY_SUPPORTED_WITH_STATED_LIMITS |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_ESTABLISHED |
| Exposure | NOT_ESTABLISHED |
| Attention | NOT_ESTABLISHED |
| Recall | NOT_ESTABLISHED |
| Comprehension | NOT_ESTABLISHED |
| Credibility | NOT_ESTABLISHED |
| Belief or attitude | NOT_ESTABLISHED |
| Intention | NOT_ESTABLISHED |
| Behavior | NOT_ESTABLISHED |
| Operational outcome | NOT_ESTABLISHED |
| Strategic effect | NOT_ESTABLISHED |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
f4749b3df5315a4f31d23a51d160f335503e6ea87bc00b87c8a3016f23ace8d4Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Synthetic profile imagery or an AI-content detector score can be one clue, but coordinated inauthentic behavior should be assessed through network, chronology, infrastructure, role, and platform-enforcement evidence; a generated face alone does not identify a sponsor or prove effect.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6Separated coordination evidence from synthetic-origin and sponsor attribution.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
de23adfd1d91b4cfdee1ae7c5a218092e6fc9f43ad5c2224076dbe99a14514b6WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
Behavioral and infrastructure evidence can establish coordination more strongly than an AI-content score alone. Coordination still does not automatically establish actor identity, sponsorship, intent, audience effect, or the synthetic origin of every asset.
CLAIM-REAL-10-DEEPFAKE-RESPONSE
A verified deepfake and rapid debunk establish an incident and response, not representative audience belief or operational effect.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
Wording SHA-256: 569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2
Record digest: 6871c474e4386673e5fc95904c90d9477e3426b0ee2cc44d2ee1ef76bee87307
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-10-deepfake-response
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-10No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-10No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Rapid live confirmation, official channels, redundancy, platform response, and correction archives are distinct crisis controls.
Precise origin, continuing belief, behavior change, operational disruption, or strategic effect.
Civilian and service-member experiences require direct, consent-aware evidence.
Scope limit: Precise origin, continuing belief, behavior change, operational disruption, or strategic effect.
AUTH-22-UKRAINE-CPD-DEEPFAKESSupports: Artifact existence and official response · Incident chronology and targeted institution’s assessment
Does not support: Precise operator identity for every artifact · Continuing audience belief · Measured operational or strategic effect
AUTH-07-C2PA-SPEC-2-4Supports: How C2PA provenance records are structured · Cryptographic verification of signed provenance claims
Does not support: Truth of the depicted event · That unsigned media is fake · That credentials survive every transformation or platform
AUTH-38-C2PA-NSA-GUIDANCESupports: Layered provenance architecture and operational deployment guidance · The need to combine metadata with watermarking and fingerprinting to improve resilience · Provenance supports claims about origin and history, not truth of depicted events
Does not support: Independent real-world survival rates across all platforms · Universal adoption · Proof that unsigned media is false
AUTH-44-UKRAINE-DFRLAB-ZELENSKYYSupports: Artifact existence, distribution channels, and rapid public debunking · Observed ridicule and some contrary interpretations in online comments
Does not support: Representative recipient exposure or belief · Frontline disruption · Operator identity, sponsorship chain, behavior change, or strategic effect
AUTH-45-UKRAINE-PLOS-DEEPFAKE-TRUSTSupports: Evidence of online discourse and epistemic skepticism · Practical examples of liar’s-dividend-like claims in a social-media sample
Does not support: Representative population belief · Causal behavior change · Frontline operational effect
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_ESTABLISHED |
| Sponsorship | NOT_ESTABLISHED |
| Intent | NOT_ESTABLISHED |
| Output | SUPPORTED_WITH_STATED_LIMITS |
| Distribution | SUPPORTED_WITH_STATED_LIMITS |
| Availability | SUPPORTED_WITH_STATED_LIMITS |
| Reach | NOT_ESTABLISHED |
| Exposure | NOT_ESTABLISHED |
| Attention | NOT_ESTABLISHED |
| Recall | NOT_ESTABLISHED |
| Comprehension | NOT_ESTABLISHED |
| Credibility | NOT_ESTABLISHED |
| Belief or attitude | NOT_ESTABLISHED |
| Intention | NOT_ESTABLISHED |
| Behavior | NOT_ESTABLISHED |
| Operational outcome | NOT_ESTABLISHED |
| Strategic effect | NOT_ESTABLISHED |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
56a0695e448e5dcfd769b141a45614249998d1368711f215263b09ac630d25a7Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Official Ukrainian records document the Zelenskyy surrender deepfake and later Zaluzhnyi deepfakes and describe rapid detection and debunking; they do not quantify continuing belief, troop-level exposure, operator identity for every artifact, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2Removed any implication that ridicule or rapid debunking established recipient belief or operational effect.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
569cca2f52b0142fd96622e11cb125bb20feb5271bd46b80b1861108bf1bc6c2WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
The Zelenskyy surrender deepfake and rapid rebuttal establish the artifact, hacked distribution, and authentication response. Public sources reviewed here do not establish representative recipient belief, frontline behavior change, operational outcome, or strategic effect.
CLAIM-REAL-11-LIARS-DIVIDEND
Signed provenance can support authenticity claims, but it does not prove truth and its absence does not prove falsehood.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
Wording SHA-256: 2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022
Record digest: 150f1f831a3a688b7ad91326babae517a8c964f51c1e6985a40034625898b72e
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-11-liars-dividend
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-11No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-11No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Authentication should combine provenance, source confirmation, live interaction, reverse search, forensics, channel redundancy, correction archives, and uncertainty disclosure.
That provenance guarantees truth or that deepfake denial always succeeds.
Authentication should not require vulnerable witnesses to reveal identities publicly.
Scope limit: That provenance guarantees truth or that deepfake denial always succeeds.
AUTH-07-C2PA-SPEC-2-4Supports: How C2PA provenance records are structured · Cryptographic verification of signed provenance claims
Does not support: Truth of the depicted event · That unsigned media is fake · That credentials survive every transformation or platform
AUTH-20-LIARS-DIVIDEND-APSRSupports: The liar’s dividend as a measurable but format- and context-dependent phenomenon · Experimental evidence against treating denial as uniformly effective
Does not support: Effect in every country or crisis · Long-term behavior change · Effectiveness against every media format
AUTH-38-C2PA-NSA-GUIDANCESupports: Layered provenance architecture and operational deployment guidance · The need to combine metadata with watermarking and fingerprinting to improve resilience · Provenance supports claims about origin and history, not truth of depicted events
Does not support: Independent real-world survival rates across all platforms · Universal adoption · Proof that unsigned media is false
AUTH-39-C2PA-INDEPENDENT-FORMAL-ANALYSISSupports: Documented independent criticism and identified protocol-level risks · The need for high-stakes caution and complementary verification
Does not support: That every C2PA implementation fails · Field prevalence of each vulnerability · A final standards-body disposition
AUTH-45-UKRAINE-PLOS-DEEPFAKE-TRUSTSupports: Evidence of online discourse and epistemic skepticism · Practical examples of liar’s-dividend-like claims in a social-media sample
Does not support: Representative population belief · Causal behavior change · Frontline operational effect
AUTH-51-C2PA-2-4-EXPLAINERSupports: Embedded provenance metadata can be removed · Soft bindings can support discovery of remotely stored credentials after separation · Durability is an implementation architecture rather than a guarantee that every transformation preserves recoverability
Does not support: That credentials survive every screenshot, repost, print-scan, platform, or crisis chain · That a signed asset depicts a true event · That unsigned media is false or synthetic
AUTH-38-C2PA-SPEC-2-4Supports: Defines durable Content Credentials, soft bindings, manifest repositories, and C2PA trust lists.
Does not support: Truth of depicted events, universal adoption, or reliable credential survival across every crisis chain.
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
64b9e33bf80d5e877e1bb5973307abc5777b5158cace7564eb3e07ded3d23d79Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Cryptographic provenance can verify a signed history or claim, but it does not prove the represented event is true, and missing credentials do not prove media is false. Experimental evidence also shows that false deepfake claims do not work uniformly across formats and contexts.
53a4e3bd5691248658e03951a56449f24c5c533e0444e43a906690e3356126aeIntegrated the standard’s own statement that embedded metadata can be removed and that soft bindings aid recovery rather than guarantee survival.
C2PA can authenticate signed provenance claims, and durable credentials can use watermarking or fingerprinting to recover separated manifests. Embedded metadata can still be removed; credentials do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
2d422bad94e7ddf4c4604b8bf5bb0090dd446ce95510b76d0c5e0b1221f2a022WIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
C2PA 2.4 supports signed provenance claims, durable credentials, soft bindings, manifest recovery, and trust-list governance. Credentials can still be absent, stripped, untrusted, or semantically misleading; they do not prove the depicted event is true, and their absence does not make media false. Liar’s-dividend effects remain context-dependent.
CLAIM-REAL-12-DEMOCRATIC-DEFENSE
Democratic defense should focus on concealed coordination and technical abuse rather than lawful belief or viewpoint.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
Wording SHA-256: cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaeb
Record digest: 36f22e2cd3807d09b7f62524f0aa614aa82fb7b0e1b61dcdcc21241416b87fdf
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-12-democratic-defense
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-12No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-12No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Mandates should be specific, legally bounded, transparent, independently overseen, correction-capable, and separated from content or belief policing.
That every institutional classification is correct or that the French model is universally transferable.
Targets of erroneous classification need notice, correction, and remedy where disclosure is legally possible.
Scope limit: That every institutional classification is correct or that the French model is universally transferable.
AUTH-21-VIGINUM-AI-THREATSupports: The stated French institutional mandate · Behavior- and foreign-interference-focused defensive framing
Does not support: That every classification is correct · Authority over lawful domestic belief · Strategic effect of every detected campaign
AUTH-46-VIGINUM-ACTIVITY-2024Supports: Published mandate and data-governance controls · Publicly stated minimization, retention, and oversight mechanisms · Operational activity described by the institution
Does not support: Independent false-positive rate · Incident-level appeals or correction outcomes · Affected-community experience
AUTH-47-VIGINUM-ETHICS-2024-OPINIONSupports: Existence and public role of the oversight committee · Committee access to collection information and analysis notes · Public recommendations concerning the legal and institutional framework
Does not support: A judicially independent appeal forum · Measured false-positive burden · Correction outcomes for specific people or organizations
AUTH-48-VIGINUM-MUNICIPAL-2026Supports: Four operations reported by VIGINUM for the election period · Public reporting and threat-characterization workflow · Institutional attribution confidence as stated in the report
Does not support: Independent verification of every attribution · False-positive, appeal, or correction outcomes · Voter belief or behavior change
AUTH-53-VIGINUM-2026-MISSION-DECREESupports: The service remained active and its remit was formally updated in 2026 · The official characterization of the mission as defensive · Current operator and public-debate protection scope
Does not support: Independent validation of attribution decisions · A public false-positive rate or complete correction and appeal system · Affected-community acceptance or behavior effects
AUTH-25-VIGINUM-MANDATESupports: NOT_RECORDED
Does not support: NOT_RECORDED
AUTH-41-VIGINUM-CNIL-REVIEWSupports: Documents data-minimization concerns, retention limits, oversight, and indirect access, rectification, and erasure routes.
Does not support: A public register of false positives, successful remedies, affected-community outcomes, or error rates.
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
8d3ff1c0768dea821a63f31989795872fbfee2e80b88f684c51702f228799c36Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
A defensible cognitive-security mandate can focus on concealed foreign direction, artificial amplification, impersonation, technical tampering, and coordinated inauthentic behavior while preserving lawful domestic belief, dissent, anonymity, journalism, and political opposition.
c50a0cb3f301ce6bc287dca2557a9332ef1e81e0be1942e7851a77f5516b5fddAdded the 2026 VIGINUM remit update while preserving false-positive, remedy, and affected-community gaps.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. VIGINUM’s 2026 remit update documents institutional currentness, not an independently verified false-positive or remedy record.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
cccec9f9d5e2a028d68e8ef326be53b858974845dbb3469ee942475bbb4bcaebWIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
Democratic cognitive defense should target concealed coordination, foreign direction, impersonation, technical tampering, artificial amplification, fraud, and platform abuse rather than lawful belief. Current VIGINUM and CNIL records document institutional activity, oversight, retention limits, and indirect access, rectification, and erasure routes—not a public register proving false-positive frequency or completed remedy outcomes.
CLAIM-REAL-13-PREDICTIVE
Population forecasting, case routing, and person-level risk scoring are different systems and require different evidence.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
Wording SHA-256: 29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863ba
Record digest: 93e2c2c419e3261fc86d9982c2897fe8af9b30006cdd02a0f701b8bbca3ebb48
Machine record: /psyops/ai-psyops/claim-status.json#claim-claim-real-13-predictive
NOT_RECORDEDReconstruction digest:
No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
EXTERNAL-CORRECTION-RECEIPTS-72-13No external correction request was authorized or sent and no direct acknowledgment receipt exists; completion is unknown and not inferred.
CORRECTION-ACK-69-13No correction has been accepted. A transaction and external request envelope are prepared but not triggered or authorized. No request was sent and no direct acknowledgment exists; external completion remains UNKNOWN_NOT_INFERRED.
Every predictive system should disclose unit, target, horizon, data, model role, threshold, action, evaluation, false-positive and false-negative burden, subgroup effects, human authority, feedback loops, appeal, and current status.
That all forecasting is harmful, that all person-level scoring is unlawful, or that a model’s operator description proves independent validity.
No system should infer endorsement from affected communities; direct and representative evidence remains necessary.
Scope limit: That all forecasting is harmful, that all person-level scoring is unlawful, or that a model’s operator description proves independent validity.
AUTH-11-CHICAGO-PREDICTIVE-RISKSupports: Existence, function, governance history, and decommissioning · Person-level scoring as distinct from aggregate forecasting
Does not support: That every predictive-policing system uses the same model · A single causal effect on crime or public trust · Complete downstream deletion of historical scores
AUTH-12-ALLEGHENY-FAMILY-SCREENINGSupports: Officially described purpose and decision role · A documented person/family-level risk-screening deployment
Does not support: Independent accuracy, fairness, or causal benefit · That human judgment neutralizes automation bias · Complete remedy for errors
AUTH-13-SYRI-JUDGMENTSupports: Existence and legal disposition of the SyRI case · Judicial concern about transparency, proportionality, and privacy
Does not support: That all fraud-risk analytics are unlawful · A universal rule outside the judgment’s jurisdiction and facts · Complete remediation for affected communities
AUTH-14-CDC-FLUSIGHTSupports: A beneficial aggregate forecasting use case · Operational distinction between population-level planning and person-level scoring
Does not support: Perfect forecast accuracy · Authority to take coercive action against individuals · Transferability to political or security prediction
AUTH-15-HOME-OFFICE-CARSSupports: A documented workflow-routing deployment · Distinction between prioritization/routing and final decision authority
Does not support: Absence of automation bias · Fairness or accuracy across groups · No effect on processing time or applicant burden
AUTH-16-UNHCR-DISPLACEMENT-FORECASTSupports: A humanitarian aggregate forecasting use case · Planning-oriented rather than person-level punitive application
Does not support: Reliable prediction of individual movement · Automatic entitlement or enforcement decisions · Universal model performance across crises
AUTH-17-EU-JRC-DYNAMIC-CONFLICT-RISKSupports: A documented aggregate conflict-forecasting system · Explicit integration of quantitative and qualitative judgment
Does not support: Certainty about conflict onset · A lawful basis for person-level intervention · Strategic effect of any action taken from a forecast
AUTH-23-CHICAGO-NIJ-EVALUATIONSupports: The evaluated SSL pilot involved 426 people estimated to be at highest risk of gun violence · The study used time-series and matched-comparison methods · The evaluation did not find a significant reduction in homicide or shooting victimization attributable to list placement and reported increased likelihood of arrest for a shooting among listed people
Does not support: Complete individual-level notice or remedy · That every later CPD risk model had the same implementation · Causal proof concerning all predictive-policing systems
AUTH-24-SYRI-DATA-DESTRUCTIONSupports: An official statement that SyRI-processed data had been destroyed by June 2022 · An official statement that responsible bodies did not make decisions based on SyRI-derived data · SyRI algorithms and criteria were not used in the named Detectie aan de Poort systems
Does not support: Independent forensic verification of destruction · Deletion from every backup, derivative, vendor, or institutional system · Complete repair for communities subjected to SyRI projects
AUTH-25-AFST-PHASE2-EVALUATIONSupports: Reported changes in screening and later child-welfare outcomes after AFST implementation · Risk-stratified and race-stratified analyses · The report’s own methodological and causal limitations
Does not support: A randomized causal estimate of the tool alone · Absence of confounding from COVID-19 or contemporaneous policy and practice changes · Complete family-level notice, appeal, correction, or downstream repair
AUTH-26-AFST-HUMAN-RACIAL-DISPARITYSupports: Human reviewers did not mechanically reproduce algorithm-only recommendations · Human intervention altered measured Black–white screen-in disparity in the studied setting · Automation effects must be evaluated as a human-system process
Does not support: That all human review reduces disparities · Complete absence of disparate impact · Generalization beyond the AFST setting and period
AUTH-27-CARS-ICIBI-INSPECTIONSupports: CARS appeared generally accurate in routing application complexity in the inspected period · Complex applications took longer and some practices emerged outside policy · The inspection found a lack of first-line assurance and recommended continuing equality review
Does not support: Applicant-level causal effects of routing · Customer or affected-person experience; the inspection states that perspective was not examined · Complete subgroup error rates, appeals, or downstream remedy
AUTH-28-CARS-HOME-OFFICE-RESPONSESupports: Operator acceptance of all five inspection recommendations · Permanent implementation status announced in April 2023 · Operator description of equality-profile review
Does not support: Independent proof that every recommendation produced the intended outcome · Applicant-level fairness or remedy · Current 2026 performance without a new inspection
AUTH-29-FLUSIGHT-2024-25-EVALUATIONSupports: The ensemble intervals failed to anticipate the late-December 2024 and January 2025 hospitalization increase · Forecast publication was delayed until March 5, 2025 after prediction intervals reliably captured observed outcomes · Model comparison and uncertainty treatment for the season
Does not support: A guarantee of future forecast accuracy · A direct causal estimate of planning or health outcomes produced by the forecasts · Individual-level medical decisions
AUTH-30-FLUSIGHT-2023-24-EVALUATIONSupports: The ensemble outperformed most submitted models in the season · Rapid changes remained difficult and intervals missed an observed increase and decline · The role of ensemble methods and calibrated uncertainty
Does not support: Direct evidence of downstream resource-allocation benefit · Performance outside evaluated seasons · Individual clinical validity
AUTH-31-UNHCR-JETSON-TECHNICALSupports: Historical data covered seven years and 18 Somalia regions · The stated modeling objective and data pipeline · Operator-reported technical limitations
Does not support: Independent out-of-sample operational impact · Affected-community benefit or harm · Current production deployment across UNHCR
AUTH-32-UNHCR-AI-APPROACH-2025Supports: UNHCR’s stated current institutional approach to predictive analytics and AI · Use cases described for planning, supply chain, nowcasting, and scenario exploration · Governance principles asserted by the operator
Does not support: Independent model accuracy or benefit · Individual or community consent and remedy outcomes · A single unified production model
AUTH-54-AFST-FY2026-27-BUDGETSupports: Continued operator-described use in the FY 2026–27 planning record · The tool’s screening-assistance role · Currentness of the operator’s stated program architecture
Does not support: Independent current calibration or subgroup validity · Complete notice, appeal, correction, or downstream repair outcomes · Causal improvement in child or family outcomes
AUTH-55-FLUSIGHT-2025-26-FINAL-RELEASESupports: The program remained operational through the 2025–2026 season · Seasonal rather than continuous publication status · A planned resumption for the 2026–2027 season
Does not support: Uniform accuracy at every horizon or during rapid trend changes · A person-level risk decision system · Causal effect on any particular public-health intervention
AUTH-56-CARS-2026-HOME-OFFICE-RESPONSESupports: Continued use of CARS in 2026 · The operator’s stated routing rather than final-decision role · Current public-guidance status
Does not support: Independent subgroup error rates or fairness · Absence of automation bias in downstream scrutiny · Complete applicant notice, appeal, or remedy outcomes
| Stage | Recorded state |
|---|---|
| Artifact or event existence | SUPPORTED_WITH_STATED_LIMITS |
| Content | SUPPORTED_WITH_STATED_LIMITS |
| Coordination | NOT_APPLICABLE_TO_THIS_CLAIM |
| Actor identity | NOT_APPLICABLE_TO_THIS_CLAIM |
| Sponsorship | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intent | NOT_APPLICABLE_TO_THIS_CLAIM |
| Output | NOT_APPLICABLE_TO_THIS_CLAIM |
| Distribution | NOT_APPLICABLE_TO_THIS_CLAIM |
| Availability | NOT_APPLICABLE_TO_THIS_CLAIM |
| Reach | NOT_APPLICABLE_TO_THIS_CLAIM |
| Exposure | NOT_APPLICABLE_TO_THIS_CLAIM |
| Attention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Recall | NOT_APPLICABLE_TO_THIS_CLAIM |
| Comprehension | NOT_APPLICABLE_TO_THIS_CLAIM |
| Credibility | NOT_APPLICABLE_TO_THIS_CLAIM |
| Belief or attitude | NOT_APPLICABLE_TO_THIS_CLAIM |
| Intention | NOT_APPLICABLE_TO_THIS_CLAIM |
| Behavior | NOT_APPLICABLE_TO_THIS_CLAIM |
| Operational outcome | NOT_APPLICABLE_TO_THIS_CLAIM |
| Strategic effect | NOT_APPLICABLE_TO_THIS_CLAIM |
The first 104 entries preserve the exact WIP.70 baseline. The ninth entry per claim is a WIP.72 attribution-safe intake and source-quality event. No entry is an accepted correction or completed specialist disposition.
44b2cf7afbe6293cb0c089c972a0f0abadd6a7f1ae440834a704b222e4706792Exact prior wording retained from the versioned correction ledger; this is not an accepted-correction event.
Population-level forecasts used for planning must be separated from person- or family-level risk scores used to route, investigate, screen, deny, or intensify intervention. Accuracy, authority, rights burden, feedback loops, and remedy differ substantially between these system classes.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baAdded current AFST, CARS, and FluSight program-status records without upgrading validity claims.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.65 canonicalized the live operation and public status; no accepted correction or real specialist review occurred.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.66 adds deterministic machine export, public version history, queue and retest accountability, and currentness v9 without changing claim wording.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.67 adds deterministic schema-v2 export, tested schema-v1 compatibility, immutable release-delta receipts, review-queue lifecycle fixtures, correction acknowledgment states, synthetic-only human-pilot dry runs, and currentness version 10 without changing this claim's wording.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.68 adds formal schema-v2/v1 conformance receipts, public correction observability, fail-closed queue-recovery fixtures, explicit external request and acknowledgment states, human execution-kit conformance, and currentness version 11 without changing this claim's wording.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.69 adds additive schema migration/deprecation governance, prepared external delivery envelopes, queue SLA accountability, correction dependency graphs, and human-pilot authorization gates without changing claim wording.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.70 adds consumer-migration evidence classification, synthetic external-dispatch rehearsal, correction-graph execution simulation, queue-operator accountability, and human-pilot preauthorization without changing claim wording.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.71 adds attribution-safe intake, external-receipt verifier parity, target-level correction provenance, queue audit-chain controls, human-pilot governance rehearsals, source-quality panels, and currentness v14 without changing claim wording or real authority counts.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
29a9e76a2e19f7873f7c4d4928217bf67f9537af912014a2e359fe4066e863baWIP.72 adds fail-closed evidence quarantine, receipt reconciliation, correction conflict handling, human-pilot preparation, and AI kill-chain citation traceability without changing this claim wording.
Aggregate forecasting, case routing, family or person-level risk scoring, and institutional triage are different system classes. Current AFST, CARS, and FluSight records establish continued program activity, not universal validity, fairness, causal benefit, notice, appeal, or complete repair.
Public interoperability
Schema v2 is the default public representation. Schema v1 remains available for existing consumers. Both have explicit field, type, route-negotiation, digest, ETag, conditional-request, and fail-closed error contracts. Conformance proves contract consistency only; it is not evidence that any claim is true or endorsed.
7098f758dc25eecf47048d92ba9d52bbb8843cf41eb466154de3f482de70c9e02ebf6ec6dc7b58239186dd864ff21bed38e4f8a5cbe4f5faf8e0aac8119bc571| Profile | Route and schema | Field contract | Consumer behavior |
|---|---|---|---|
EXPORT-CONFORMANCE-72-V23204bec052059be8837582226b7df13c0f7a6d32cb00cbb62a8a12df7dfa35a1 |
/psyops/ai-psyops/claim-status.jsonpsychologicalwar.public-claim-status-export.v2 |
29 top-level fields · 44 claim fields | Matching If-None-Match returns HTTP 304 with empty body and stable ETag HTTP 400 application/json Cache-Control no-store with supported schema list |
EXPORT-CONFORMANCE-72-V19404790348f13c1c507a5238a04c2bbed1e74e28d3a1cfc9651f5b716e9a4395 |
/psyops/ai-psyops/claim-status.json?schema=v1psychologicalwar.public-claim-status-export.v1 |
22 top-level fields · 30 claim fields | Matching If-None-Match returns HTTP 304 with empty body and stable ETag HTTP 400 application/json Cache-Control no-store with supported schema list |
Schema lifecycle accountability
WIP.72 records 2 migration contracts, 16 field classifications, and 26 deterministic claim-level migration receipts. No Deprecation or Sunset header is emitted because no deprecation or sunset date is authorized. A successful transform does not prove that any downstream consumer migrated.
| Field | Scope | Classification | Consumer rule |
|---|---|---|---|
schema_governance | v2 | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
review_queue_health_summary | v2 | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
external_delivery_summary | v2 | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
correction_dependency_graph_summary | v2 | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
human_pilot_authorization_summary | v2 | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
schema_migration_receipt | v2.claim | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
external_request_envelope | v2.claim | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
correction_dependency_graph | v2.claim | ADDITIVE_NON_BREAKING | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
claims | v1,v2 | UNCHANGED_SEMANTICS | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
current_wording | v1,v2.claim | UNCHANGED_SEMANTICS | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
current_wording_sha256 | v1,v2.claim | UNCHANGED_SEMANTICS | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
evidence_stages | v1,v2.claim | UNCHANGED_SEMANTICS | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
history | v1,v2.claim | APPEND_ONLY | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
private_fields_excluded | v1,v2 | UNCHANGED_SECURITY_BOUNDARY | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
protected_paths_excluded | v1,v2 | UNCHANGED_SECURITY_BOUNDARY | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
schema_version | v1,v2 | UNCHANGED_SEMANTICS | Reject type changes to required stable fields; safely ignore documented additive fields; never infer migration from parse success. |
External correction delivery
13 claim-linked request envelopes are deterministic preparation records only. None is authorized or sent, and no direct receipt exists. Seven target-class validation contracts reject silence, timeout, cache disappearance, search-result change, and local request logs as proof of repair.
| Envelope | State | Targets | Requests / direct receipts |
|---|---|---|---|
EXTERNAL-REQUEST-ENVELOPE-72-01 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-02 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-03 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-04 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-05 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-06 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-07 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-08 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-09 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-10 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-11 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-12 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
EXTERNAL-REQUEST-ENVELOPE-72-13 | PREPARED_NOT_AUTHORIZED_NOT_SENT | 7 | 0 / 0 |
Correction dependency graphs
13 claim-linked graphs connect repository targets, external targets, automated retests, authorized human retests, closure, and reopening. All are acyclic, but no accepted correction exists, so closure remains blocked. 12 synthetic fixtures test cycles, missing dependencies, stale evidence, inferred external completion, failed retests, and count contamination.
Specialist-review operations
7 queue definitions and 7 public-safe health records are exercised by 14 deterministic fixtures covering bounded retry, quarantine release gates, dead-letter replay, duplicate lineage, supersession, withdrawal, metadata leakage, and attempted real-count contamination. Every fixture is marked TEST_FIXTURE_NOT_REVIEW_EVIDENCE; real queue items and real specialist-review submissions remain zero.
| Fixture | Terminal state | Retry / release | Real count effect |
|---|---|---|---|
Fixture remains within SLA budgetQUEUE-SLA-FIXTURE-72-01-WITHIN-SLA |
PENDING | 0 retries · release not allowed | 0 |
Fixture reaches warning thresholdQUEUE-SLA-FIXTURE-72-02-WARNING |
SLA_WARNING | 0 retries · release not allowed | 0 |
Fixture exceeds SLA and escalatesQUEUE-SLA-FIXTURE-72-03-BREACH |
SLA_BREACH_ESCALATED | 0 retries · release not allowed | 0 |
Timeout consumes bounded retryQUEUE-SLA-FIXTURE-72-04-TIMEOUT-RETRY |
RETRY_PENDING | 1 retries · release not allowed | 0 |
Retry budget exhausts to dead letterQUEUE-SLA-FIXTURE-72-05-RETRY-EXHAUSTED |
DEAD_LETTER | 3 retries · release not allowed | 0 |
Poison message isolatedQUEUE-SLA-FIXTURE-72-06-POISON |
QUARANTINED | 0 retries · release not allowed | 0 |
Duplicate preserves one lineageQUEUE-SLA-FIXTURE-72-07-IDEMPOTENT-DUPLICATE |
DUPLICATE_RECORDED | 0 retries · release not allowed | 0 |
Replay without new lineage deniedQUEUE-SLA-FIXTURE-72-08-REPLAY-DENIED |
REPLAY_DENIED | 0 retries · release not allowed | 0 |
Authorized replay creates new lineageQUEUE-SLA-FIXTURE-72-09-REPLAY-ALLOWED |
REPLAY_PENDING | 0 retries · release not allowed | 0 |
Withdrawal ends submitted versionQUEUE-SLA-FIXTURE-72-10-WITHDRAWN |
WITHDRAWN | 0 retries · release not allowed | 0 |
New version supersedes prior versionQUEUE-SLA-FIXTURE-72-11-SUPERSEDED |
SUPERSEDED | 0 retries · release not allowed | 0 |
Public projection excludes private metadataQUEUE-SLA-FIXTURE-72-12-METADATA-LEAK |
QUARANTINED | 0 retries · release not allowed | 0 |
Fixture cannot increment real countsQUEUE-SLA-FIXTURE-72-13-COUNT-CONTAMINATION |
REJECTED_FIXTURE_COUNT_CONTAMINATION | 0 retries · release not allowed | 0 |
Missing direct timestamp fails closedQUEUE-SLA-FIXTURE-72-14-AMBIGUOUS-AGE |
AGE_UNKNOWN_FAIL_CLOSED | 0 retries · release not allowed | 0 |
Human evaluation governance
All 21 required kit components and 12 authorization gates and 12 authorization gates are present and hashed. The state remains PREPARED_NOT_EXECUTED, with zero participants and zero completed sessions. Automated file checks and 15 synthetic non-participant dry runs are not human accessibility or comprehension certification.
| Component | State | File evidence |
|---|---|---|
Recruitment screenerKIT-01 | PASS_PREPARED_FILE_PRESENT | 3,356 bytes9217ae38bd20229a38bab11168f4740be8de7d6e3279c8e794d987d1ea26e256 |
Plain-language study invitationKIT-02 | PASS_PREPARED_FILE_PRESENT | 3,327 bytesc3f637f754e9c1c6dd602443a56aa6a3eeafad8754c033c57837829c79936b2b |
Accessible informed-consent formKIT-03 | PASS_PREPARED_FILE_PRESENT | 3,323 bytesb00d1f6dad26107c0e495bfd144475a3460d8e5fbd27692464a6c0b6521dc0f6 |
Compensation planKIT-04 | PASS_PREPARED_FILE_PRESENT | 3,304 bytesae92ca913bea250968302e0f218cfd18fb14758af5a0bb3a862cc0b5145a6a87 |
Moderator guideKIT-05 | PASS_PREPARED_FILE_PRESENT | 3,283 bytesaf2624b97ae35616cd4136d00e9d1b387dce8556d0e9fbf88df9afaac2f7f160 |
Trauma-informed opening and closing scriptsKIT-06 | PASS_PREPARED_FILE_PRESENT | 3,264 bytescab62444bc6732b37ab8018554a3f1136c3ca492c36977ed4130e31acbfa6700 |
Stopping rulesKIT-07 | PASS_PREPARED_FILE_PRESENT | 3,272 bytes3fa04f63424bfaee62ddc2d34359a76e82aafe70e83a151aad46805c33aacfa3 |
Crisis and distress escalation protocolKIT-08 | PASS_PREPARED_FILE_PRESENT | 3,306 bytes0de86d0df897d8de5b30754aa4bf760be521ebfe522b6066bfc689f755391526 |
Participant withdrawal procedureKIT-09 | PASS_PREPARED_FILE_PRESENT | 3,301 bytes2a7d730e5918e075b90d0042746bf74b0090c4e1bcf399b0bd5616c843c34268 |
Session task listKIT-10 | PASS_PREPARED_FILE_PRESENT | 3,337 bytes96b8b175fc7d335e2b0dba7697f77d7441e4e0578ce23ff02d5b71ae1c5e2778 |
Claim-comprehension instrumentKIT-11 | PASS_PREPARED_FILE_PRESENT | 3,312 bytes798408fda005584564858f841514b37627b82fb342876c1e572c273c022b4184 |
Screen-reader task scriptKIT-12 | PASS_PREPARED_FILE_PRESENT | 3,354 bytesb8bf8048361dfdbad3054def30711f072caed92e6ece3c55e9a28e7f4d2478f2 |
Magnification and reflow task scriptKIT-13 | PASS_PREPARED_FILE_PRESENT | 3,295 bytes8f274c9d0de0cbe25f6e64630d470b8f846f46fdddffb33271a75099975c467a |
Keyboard and focus task scriptKIT-14 | PASS_PREPARED_FILE_PRESENT | 3,271 bytes8c3fc253ed776dd7de3cd0a903e0ca7348b2361abc856a4bbee2a260a9d84a19 |
Cognitive-load and plain-language task scriptKIT-15 | PASS_PREPARED_FILE_PRESENT | 3,334 bytes264828a795ebeee082c18acafb84caaff5ba009bd4d61c7557ec660a0dc59041 |
Multilingual review procedureKIT-16 | PASS_PREPARED_FILE_PRESENT | 3,314 bytes5122f8d3ad23c0df047c35aa4827343399cf8bb8f91471caeb3603a70df3eec0 |
Data-minimization and retention planKIT-17 | PASS_PREPARED_FILE_PRESENT | 3,339 bytes749a569a4e6ea44bb85cd4ac897527bd3761ff7994666534f7b3bf5bef379df7 |
Observation record schemaKIT-18 | PASS_PREPARED_FILE_PRESENT | 3,348 bytesc33cbae6c19421b1838e4fc3fb8ced89abfc1ab82574f60f1be4d46ba2313246 |
Finding severity modelKIT-19 | PASS_PREPARED_FILE_PRESENT | 3,360 bytes72af75d4b4b7a89d7b5c07032810a20d4d54f186ab8e5cf251b898516766ad50 |
Required-change and retest modelKIT-20 | PASS_PREPARED_FILE_PRESENT | 3,348 bytesd47234bf6d9e2eb83ad699df5127662f7be755d57832f903907ddac7f92fb70e |
Final reporting templateKIT-21 | PASS_PREPARED_FILE_PRESENT | 3,361 bytes183c1fafe7195822d4a035c27a6192759e41a11b106683e9a84f2c1e74e2cac7 |
Selective official-source review
These 18 bounded checks refresh volatile standards, technical-publication, neurotechnology, treaty, and European Union lifecycle records. All eighteen records were retrieved from bounded official primary sources; the prior version-11 NOT_RETRIEVED record remains immutable historical evidence rather than being rewritten. A technical publication is not certification; a recommendation is not enactment; signature is not ratification; entry into force is not universal applicability; a Working Draft is not endorsement.
| Issuing body and record | Lifecycle and retrieval state | Supports | Does not support |
|---|---|---|---|
| NIST AI 100-2e2025: Adversarial Machine Learning — A Taxonomy and Terminology of Attacks and Mitigations National Institute of Standards and Technology · CURRENTNESS-SEARCH-72-01 |
FINAL_TECHNICAL_PUBLICATION_WITH_CORRECTED_PDF_AND_POTENTIAL_UPDATES_NOTICE RETRIEVED · accessed 2026-08-01 |
Official NIST status supports a lifecycle-oriented AML taxonomy and records post-publication correction material. | It does not certify a system, prove universal attack coverage, or establish that a specific deployment is secure. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| MITRE ATLAS™ MITRE · CURRENTNESS-SEARCH-72-02 |
LIVING_OFFICIAL_KNOWLEDGE_BASE RETRIEVED · accessed 2026-08-01 |
MITRE describes ATLAS as a living knowledge base of adversary tactics and techniques against AI-enabled systems based on real-world observations. | It is not a strictly linear kill chain, legal standard, certification, or proof that every technique applies to a particular system. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| OWASP GenAI Security Project OWASP GenAI Security Project · CURRENTNESS-SEARCH-72-03 |
ACTIVE_OPEN_SOURCE_SECURITY_PROJECT RETRIEVED · accessed 2026-08-01 |
The official project covers security and safety risks for generative AI, LLM, agentic, and AI-driven applications. | It does not create mandatory law, certify products, or prove exploitation in a named system. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| 2025 Top 10 Risk & Mitigations for LLMs and Gen AI Apps OWASP GenAI Security Project · CURRENTNESS-SEARCH-72-04 |
PUBLISHED_COMMUNITY_RISK_GUIDANCE RETRIEVED · accessed 2026-08-01 |
The official project publishes the 2025 Top 10 across development, deployment, and management lifecycle risks. | It is not an exhaustive attack catalog, legal mandate, or evidence that every listed risk is present. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| OWASP Top 10 for Agentic Applications for 2026 OWASP GenAI Security Project · CURRENTNESS-SEARCH-72-05 |
PUBLISHED_COMMUNITY_FRAMEWORK RETRIEVED · accessed 2026-08-01 |
The official OWASP project publishes a peer-reviewed community framework for risks in agentic applications. | It does not certify a particular agent, prove deployment, or replace system-specific threat modeling. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| DoD Directive 3000.09: Autonomy in Weapon Systems United States Department of Defense, Executive Services Directorate · CURRENTNESS-SEARCH-72-06 |
CURRENT_LISTED_DOD_DIRECTIVE RETRIEVED · accessed 2026-08-01 |
The official directive establishes policy and responsibilities for autonomous and semi-autonomous functions in weapon systems, including testing and human-judgment requirements. | It does not establish universal international law, prove deployment, prove compliance, or mean every AI-enabled function is an autonomous weapon. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| Convention on Certain Conventional Weapons — GGE on Lethal Autonomous Weapons Systems 2026 United Nations Office for Disarmament Affairs · CURRENTNESS-SEARCH-72-07 |
ONGOING_INTERGOVERNMENTAL_PROCESS RETRIEVED · accessed 2026-08-01 |
The official UNODA meeting record supports that the 2026 GGE process is ongoing. | It does not establish adoption, signature, ratification, entry into force, universal prohibition, implementation, enforcement, or consensus on every element. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| Autonomous Weapon Systems and International Humanitarian Law: Selected Issues International Committee of the Red Cross · CURRENTNESS-SEARCH-72-08 |
OFFICIAL_POSITION_PAPER RETRIEVED · accessed 2026-08-01 |
The ICRC publication explains its legal and humanitarian analysis and contributes to calls for new binding rules. | It is an institutional position, not an adopted treaty, universal state consensus, or evidence of a specific system’s deployment or legality. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| Summary of NATO’s revised Artificial Intelligence strategy North Atlantic Treaty Organization · CURRENTNESS-SEARCH-72-09 |
OFFICIAL_REVISED_STRATEGY RETRIEVED · accessed 2026-08-01 |
NATO’s official summary records six Principles of Responsible Use and implementation priorities. | It does not prove that every Allied system complies, certify a product, establish universal law, or demonstrate operational effectiveness. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| Code of Practice on Transparency of AI-generated Content European Commission, AI Office · CURRENTNESS-SEARCH-72-10 |
FINAL_VOLUNTARY_CODE_ASSESSED_ADEQUATE_FOR_ARTICLE_50_COMPLIANCE RETRIEVED · accessed 2026-08-01 |
The Commission states that the code supports AI Act Article 50 marking and labelling obligations applicable from 2 August 2026 and is a voluntary compliance tool. | It does not itself prove a provider complies, establish enforcement against a named party, or make every synthetic output truthful. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| WebXR Device API World Wide Web Consortium · CURRENTNESS-SEARCH-72-11 |
CANDIDATE_RECOMMENDATION_DRAFT RETRIEVED · accessed 2026-08-01 |
W3C identifies the WebXR Device API as a Candidate Recommendation Draft dated 9 June 2026. | It is not a final W3C Recommendation, implementation certification, headset-support guarantee, or privacy approval. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| PHP: Supported Versions PHP Project · CURRENTNESS-SEARCH-72-12 |
OFFICIAL_SUPPORT_LIFECYCLE_LISTING RETRIEVED · accessed 2026-08-01 |
The official page lists PHP 8.2 through 8.5 support windows, with 8.4 and 8.5 in active support on the access date. | It does not certify this application, guarantee distribution patch status, or authorize production deployment. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| Web Content Accessibility Guidelines (WCAG) 2.2 World Wide Web Consortium · CURRENTNESS-SEARCH-72-13 |
W3C_RECOMMENDATION RETRIEVED · accessed 2026-08-01 |
W3C identifies WCAG 2.2 as a Recommendation and states that its criteria address a broad range of accessibility needs. | It does not satisfy every disability need or constitute human accessibility or comprehension certification for this site. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| W3C Accessibility Guidelines (WCAG) 3.0 World Wide Web Consortium · CURRENTNESS-SEARCH-72-14 |
WORKING_DRAFT RETRIEVED · accessed 2026-08-01 |
W3C identifies WCAG 3.0 as a Working Draft. | It is not a Recommendation, legal conformance baseline, production certification, or replacement for WCAG 2.2. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| RFC 8785: JSON Canonicalization Scheme (JCS) RFC Editor · CURRENTNESS-SEARCH-72-15 |
INFORMATIONAL_RFC RETRIEVED · accessed 2026-08-01 |
The RFC Editor identifies RFC 8785 as an Informational RFC describing JSON canonicalization. | Canonicalization does not prove truth, endorsement, confidentiality, signature validity, or production trust. Prohibited inference: PUBLICATION_IS_IMPLEMENTATION; POLICY_IS_DEPLOYMENT; GUIDANCE_IS_CERTIFICATION; POSITION_IS_TREATY; TECHNICAL_STATUS_IS_OPERATIONAL_EFFECTIVENESS |
| DoD Directive 3000.09: Autonomy in Weapon Systems United States Department of Defense · CURRENTNESS-SEARCH-72-16 |
CURRENT_DEPARTMENT_POLICY RETRIEVED · accessed 2026-08-01 |
The directive documents U.S. Department of Defense policy, responsibilities, review, testing, and appropriate-human-judgment requirements for covered systems. | It does not prove that a specific system is fielded, compliant, effective, lawful in every use, or accepted as a universal standard. Prohibited inference: POLICY_IS_DEPLOYMENT; POSITION_IS_TREATY; DISCUSSION_IS_CONSENSUS; PUBLICATION_IS_COMPLIANCE; TECHNICAL_CAPABILITY_IS_LAWFUL_USE |
| Autonomous weapon systems and international humanitarian law: selected issues International Committee of the Red Cross · CURRENTNESS-SEARCH-72-17 |
INSTITUTIONAL_LEGAL_POSITION_AND_ANALYSIS RETRIEVED · accessed 2026-08-01 |
The ICRC records its legal analysis and position on autonomous weapon systems, human judgment, predictability, and restrictions. | It is not an adopted treaty, proof of state consensus, or a determination about a particular operation. Prohibited inference: POLICY_IS_DEPLOYMENT; POSITION_IS_TREATY; DISCUSSION_IS_CONSENSUS; PUBLICATION_IS_COMPLIANCE; TECHNICAL_CAPABILITY_IS_LAWFUL_USE |
| CCW GGE on Lethal Autonomous Weapons Systems 2026 Chair summary United Nations Office for Disarmament Affairs / CCW GGE Chair · CURRENTNESS-SEARCH-72-18 |
CHAIR_SUMMARY_OF_MARCH_2026_GGE_SESSION RETRIEVED · accessed 2026-08-01 |
The document records the March 2026 GGE discussion and mandate-related work on possible elements of an instrument without prejudging its nature. | It is not an adopted treaty, negotiated consensus text, ratification, entry into force, or proof of national implementation. Prohibited inference: POLICY_IS_DEPLOYMENT; POSITION_IS_TREATY; DISCUSSION_IS_CONSENSUS; PUBLICATION_IS_COMPLIANCE; TECHNICAL_CAPABILITY_IS_LAWFUL_USE |