{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:FQCXQKA5OSS2S2QMUYMDUAD5CP","short_pith_number":"pith:FQCXQKA5","schema_version":"1.0","canonical_sha256":"2c0578281d74a5a96a0ca6183a007d13fc4b0b85a60f0a80941db331d4c46faa","source":{"kind":"arxiv","id":"2606.00090","version":1},"attestation_state":"computed","paper":{"title":"Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Barak Or","submitted_at":"2026-05-23T16:48:03Z","abstract_excerpt":"Physical AI systems increasingly map multimodal observations, language instructions, and learned world representations into physically consequential actions. Robotics foundation models, vision-language-action models, and world-model-based autonomous systems can condition decisions that move vehicles, robots, drones, and industrial machines. This transition exposes a safety problem that is not fully captured by conventional AI content moderation or by classical robot safety alone: a black-box model may issue a physically consequential action while appearing confident, plausible, and semanticall"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.00090","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-05-23T16:48:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"09d09738954251280ec3bfa3bd8c76200f4ce2c4517095f72474f6dd93d85edf","abstract_canon_sha256":"bacab730c0878622f4f2d800fc46604e63745b5a8dd6fa894cb40a78cb196a87"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T00:03:14.729147Z","signature_b64":"LgYVkimkzYaBHLQTmeHF0tE4NIk57L/j756QKepF5Fhd1NLwKUBEwt2+ixViSFobN9LmFrvYnbaJigRpIikmCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c0578281d74a5a96a0ca6183a007d13fc4b0b85a60f0a80941db331d4c46faa","last_reissued_at":"2026-06-02T00:03:14.728738Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T00:03:14.728738Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Barak Or","submitted_at":"2026-05-23T16:48:03Z","abstract_excerpt":"Physical AI systems increasingly map multimodal observations, language instructions, and learned world representations into physically consequential actions. Robotics foundation models, vision-language-action models, and world-model-based autonomous systems can condition decisions that move vehicles, robots, drones, and industrial machines. This transition exposes a safety problem that is not fully captured by conventional AI content moderation or by classical robot safety alone: a black-box model may issue a physically consequential action while appearing confident, plausible, and semanticall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00090","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.00090/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.00090","created_at":"2026-06-02T00:03:14.728796+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.00090v1","created_at":"2026-06-02T00:03:14.728796+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00090","created_at":"2026-06-02T00:03:14.728796+00:00"},{"alias_kind":"pith_short_12","alias_value":"FQCXQKA5OSS2","created_at":"2026-06-02T00:03:14.728796+00:00"},{"alias_kind":"pith_short_16","alias_value":"FQCXQKA5OSS2S2QM","created_at":"2026-06-02T00:03:14.728796+00:00"},{"alias_kind":"pith_short_8","alias_value":"FQCXQKA5","created_at":"2026-06-02T00:03:14.728796+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP","json":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP.json","graph_json":"https://pith.science/api/pith-number/FQCXQKA5OSS2S2QMUYMDUAD5CP/graph.json","events_json":"https://pith.science/api/pith-number/FQCXQKA5OSS2S2QMUYMDUAD5CP/events.json","paper":"https://pith.science/paper/FQCXQKA5"},"agent_actions":{"view_html":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP","download_json":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP.json","view_paper":"https://pith.science/paper/FQCXQKA5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.00090&json=true","fetch_graph":"https://pith.science/api/pith-number/FQCXQKA5OSS2S2QMUYMDUAD5CP/graph.json","fetch_events":"https://pith.science/api/pith-number/FQCXQKA5OSS2S2QMUYMDUAD5CP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP/action/storage_attestation","attest_author":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP/action/author_attestation","sign_citation":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP/action/citation_signature","submit_replication":"https://pith.science/pith/FQCXQKA5OSS2S2QMUYMDUAD5CP/action/replication_record"}},"created_at":"2026-06-02T00:03:14.728796+00:00","updated_at":"2026-06-02T00:03:14.728796+00:00"}