{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ELFKPE4T7XKL2FF6S4KI5T6RHC","short_pith_number":"pith:ELFKPE4T","schema_version":"1.0","canonical_sha256":"22caa79393fdd4bd14be97148ecfd138b56cbca7e9814db291d2967b7a345079","source":{"kind":"arxiv","id":"2606.05528","version":1},"attestation_state":"computed","paper":{"title":"When Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anna Mikeda","submitted_at":"2026-06-04T00:18:52Z","abstract_excerpt":"Existing frameworks assess whether AI systems might be conscious but provide no guidance on what to do with that assessment. We address this gap with a precautionary framework that maps consciousness evidence to graduated protective obligations. The framework comprises three components: (1) five welfare-relevant dimensions--phenomenal consciousness, affective valence, metacognitive awareness, self-narrative, and agency--each grounded in established consciousness science and linked to distinct moral concerns; (2) a threshold-plus-gradation hybrid specifying both binary triggers for new obligati"},"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":"2606.05528","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-04T00:18:52Z","cross_cats_sorted":[],"title_canon_sha256":"4786174cfcaaf0080ed7a26d3f762a8faa9a9d6e7527955beb766630ade3dbdb","abstract_canon_sha256":"ecbdfd032fe488425a768fa4f63f82e547cf3eb8642c22d8f18ca9ff42551ad9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:14:53.848726Z","signature_b64":"xck7IdlNp1CVhVfL63agW9pHTCG5ZElV2+8A4+yX9TN4gUvvXG2wIkfyx+SDPW/prX0n4b2CpgEyRCmqNCVMAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22caa79393fdd4bd14be97148ecfd138b56cbca7e9814db291d2967b7a345079","last_reissued_at":"2026-06-05T01:14:53.848257Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:14:53.848257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anna Mikeda","submitted_at":"2026-06-04T00:18:52Z","abstract_excerpt":"Existing frameworks assess whether AI systems might be conscious but provide no guidance on what to do with that assessment. We address this gap with a precautionary framework that maps consciousness evidence to graduated protective obligations. The framework comprises three components: (1) five welfare-relevant dimensions--phenomenal consciousness, affective valence, metacognitive awareness, self-narrative, and agency--each grounded in established consciousness science and linked to distinct moral concerns; (2) a threshold-plus-gradation hybrid specifying both binary triggers for new obligati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05528","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/2606.05528/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":"2606.05528","created_at":"2026-06-05T01:14:53.848325+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.05528v1","created_at":"2026-06-05T01:14:53.848325+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05528","created_at":"2026-06-05T01:14:53.848325+00:00"},{"alias_kind":"pith_short_12","alias_value":"ELFKPE4T7XKL","created_at":"2026-06-05T01:14:53.848325+00:00"},{"alias_kind":"pith_short_16","alias_value":"ELFKPE4T7XKL2FF6","created_at":"2026-06-05T01:14:53.848325+00:00"},{"alias_kind":"pith_short_8","alias_value":"ELFKPE4T","created_at":"2026-06-05T01:14:53.848325+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/ELFKPE4T7XKL2FF6S4KI5T6RHC","json":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC.json","graph_json":"https://pith.science/api/pith-number/ELFKPE4T7XKL2FF6S4KI5T6RHC/graph.json","events_json":"https://pith.science/api/pith-number/ELFKPE4T7XKL2FF6S4KI5T6RHC/events.json","paper":"https://pith.science/paper/ELFKPE4T"},"agent_actions":{"view_html":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC","download_json":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC.json","view_paper":"https://pith.science/paper/ELFKPE4T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.05528&json=true","fetch_graph":"https://pith.science/api/pith-number/ELFKPE4T7XKL2FF6S4KI5T6RHC/graph.json","fetch_events":"https://pith.science/api/pith-number/ELFKPE4T7XKL2FF6S4KI5T6RHC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC/action/storage_attestation","attest_author":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC/action/author_attestation","sign_citation":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC/action/citation_signature","submit_replication":"https://pith.science/pith/ELFKPE4T7XKL2FF6S4KI5T6RHC/action/replication_record"}},"created_at":"2026-06-05T01:14:53.848325+00:00","updated_at":"2026-06-05T01:14:53.848325+00:00"}