{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:F7PH66FYFUN64OBDEYCLAX3ZDH","short_pith_number":"pith:F7PH66FY","schema_version":"1.0","canonical_sha256":"2fde7f78b82d1bee38232604b05f7919eb8acbf0b68b3c247cc8e0193cfef57d","source":{"kind":"arxiv","id":"2503.20848","version":2},"attestation_state":"computed","paper":{"title":"The Backfiring Effect of Weak AI Safety Regulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","econ.TH"],"primary_cat":"cs.GT","authors_text":"Benjamin Laufer, Hoda Heidari, Jon Kleinberg","submitted_at":"2025-03-26T16:08:22Z","abstract_excerpt":"Recent policy proposals aim to improve the safety of general-purpose AI, but there is little understanding of the efficacy of different regulatory approaches to AI safety. We present a strategic model that explores the interactions between safety regulation, the general-purpose AI creators, and domain specialists--those who adapt the technology for specific applications. Our analysis examines how different regulatory measures, targeting different parts of the AI development chain, affect the outcome of this game. In particular, we assume AI technology is characterized by two key attributes: sa"},"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":"2503.20848","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GT","submitted_at":"2025-03-26T16:08:22Z","cross_cats_sorted":["cs.AI","cs.CY","econ.TH"],"title_canon_sha256":"a0b692733959f47988a962822370951b642a3c7f71089ba281f8a25dcf8d8350","abstract_canon_sha256":"59ba07d2bb0b31c391d7611c0eb121a019954eda2af2ea5b0a9856802a681c47"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:38.445862Z","signature_b64":"khLqbLq1TT8KQmjoU+tUtcF4FLNTt4h0v6VcqNZdweNbidMSVBSLONrU3TSOw0P6Y7UMRdRLI+q61m1zryGJCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2fde7f78b82d1bee38232604b05f7919eb8acbf0b68b3c247cc8e0193cfef57d","last_reissued_at":"2026-07-05T11:22:38.445322Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:38.445322Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Backfiring Effect of Weak AI Safety Regulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CY","econ.TH"],"primary_cat":"cs.GT","authors_text":"Benjamin Laufer, Hoda Heidari, Jon Kleinberg","submitted_at":"2025-03-26T16:08:22Z","abstract_excerpt":"Recent policy proposals aim to improve the safety of general-purpose AI, but there is little understanding of the efficacy of different regulatory approaches to AI safety. We present a strategic model that explores the interactions between safety regulation, the general-purpose AI creators, and domain specialists--those who adapt the technology for specific applications. Our analysis examines how different regulatory measures, targeting different parts of the AI development chain, affect the outcome of this game. In particular, we assume AI technology is characterized by two key attributes: sa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.20848","kind":"arxiv","version":2},"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/2503.20848/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":"2503.20848","created_at":"2026-07-05T11:22:38.445391+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.20848v2","created_at":"2026-07-05T11:22:38.445391+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.20848","created_at":"2026-07-05T11:22:38.445391+00:00"},{"alias_kind":"pith_short_12","alias_value":"F7PH66FYFUN6","created_at":"2026-07-05T11:22:38.445391+00:00"},{"alias_kind":"pith_short_16","alias_value":"F7PH66FYFUN64OBD","created_at":"2026-07-05T11:22:38.445391+00:00"},{"alias_kind":"pith_short_8","alias_value":"F7PH66FY","created_at":"2026-07-05T11:22:38.445391+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/F7PH66FYFUN64OBDEYCLAX3ZDH","json":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH.json","graph_json":"https://pith.science/api/pith-number/F7PH66FYFUN64OBDEYCLAX3ZDH/graph.json","events_json":"https://pith.science/api/pith-number/F7PH66FYFUN64OBDEYCLAX3ZDH/events.json","paper":"https://pith.science/paper/F7PH66FY"},"agent_actions":{"view_html":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH","download_json":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH.json","view_paper":"https://pith.science/paper/F7PH66FY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.20848&json=true","fetch_graph":"https://pith.science/api/pith-number/F7PH66FYFUN64OBDEYCLAX3ZDH/graph.json","fetch_events":"https://pith.science/api/pith-number/F7PH66FYFUN64OBDEYCLAX3ZDH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH/action/storage_attestation","attest_author":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH/action/author_attestation","sign_citation":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH/action/citation_signature","submit_replication":"https://pith.science/pith/F7PH66FYFUN64OBDEYCLAX3ZDH/action/replication_record"}},"created_at":"2026-07-05T11:22:38.445391+00:00","updated_at":"2026-07-05T11:22:38.445391+00:00"}