{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:TPLXUJSDU5NKRHKANIW2QOORY6","short_pith_number":"pith:TPLXUJSD","schema_version":"1.0","canonical_sha256":"9bd77a2643a75aa89d406a2da839d1c7b434de8f5927b4276932f83235d35365","source":{"kind":"arxiv","id":"2509.06786","version":1},"attestation_state":"computed","paper":{"title":"\\texttt{R$^\\textbf{2}$AI}: Towards Resistant and Resilient AI in an Evolving World","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bowen Zhou, Chaochao Lu, Jie Fu, Xiang Wang, Youbang Sun","submitted_at":"2025-09-08T15:13:23Z","abstract_excerpt":"In this position paper, we address the persistent gap between rapidly growing AI capabilities and lagging safety progress. Existing paradigms divide into ``Make AI Safe'', which applies post-hoc alignment and guardrails but remains brittle and reactive, and ``Make Safe AI'', which emphasizes intrinsic safety but struggles to address unforeseen risks in open-ended environments. We therefore propose \\textit{safe-by-coevolution} as a new formulation of the ``Make Safe AI'' paradigm, inspired by biological immunity, in which safety becomes a dynamic, adversarial, and ongoing learning process. To o"},"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":"2509.06786","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-08T15:13:23Z","cross_cats_sorted":[],"title_canon_sha256":"d69d7e9baf360a9bfb2fce93feec4024b8526570b2060fea76436268b691aa71","abstract_canon_sha256":"e6a4f9ef8d52bf26bf3e1676439dcd1d45715a4f1fa7e6ba0e680a121a58a798"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:52.896493Z","signature_b64":"kw+sAQw9d6Oo0NVxidqE3/Vjrk2lLGnZteIZbmgQxQzEtREucIMzfx2/Lf73bJMvBljzPwIeYkmsMoeHMQx9DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9bd77a2643a75aa89d406a2da839d1c7b434de8f5927b4276932f83235d35365","last_reissued_at":"2026-07-05T12:06:52.896110Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:52.896110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"\\texttt{R$^\\textbf{2}$AI}: Towards Resistant and Resilient AI in an Evolving World","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bowen Zhou, Chaochao Lu, Jie Fu, Xiang Wang, Youbang Sun","submitted_at":"2025-09-08T15:13:23Z","abstract_excerpt":"In this position paper, we address the persistent gap between rapidly growing AI capabilities and lagging safety progress. Existing paradigms divide into ``Make AI Safe'', which applies post-hoc alignment and guardrails but remains brittle and reactive, and ``Make Safe AI'', which emphasizes intrinsic safety but struggles to address unforeseen risks in open-ended environments. We therefore propose \\textit{safe-by-coevolution} as a new formulation of the ``Make Safe AI'' paradigm, inspired by biological immunity, in which safety becomes a dynamic, adversarial, and ongoing learning process. To o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.06786","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/2509.06786/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":"2509.06786","created_at":"2026-07-05T12:06:52.896166+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.06786v1","created_at":"2026-07-05T12:06:52.896166+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.06786","created_at":"2026-07-05T12:06:52.896166+00:00"},{"alias_kind":"pith_short_12","alias_value":"TPLXUJSDU5NK","created_at":"2026-07-05T12:06:52.896166+00:00"},{"alias_kind":"pith_short_16","alias_value":"TPLXUJSDU5NKRHKA","created_at":"2026-07-05T12:06:52.896166+00:00"},{"alias_kind":"pith_short_8","alias_value":"TPLXUJSD","created_at":"2026-07-05T12:06:52.896166+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/TPLXUJSDU5NKRHKANIW2QOORY6","json":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6.json","graph_json":"https://pith.science/api/pith-number/TPLXUJSDU5NKRHKANIW2QOORY6/graph.json","events_json":"https://pith.science/api/pith-number/TPLXUJSDU5NKRHKANIW2QOORY6/events.json","paper":"https://pith.science/paper/TPLXUJSD"},"agent_actions":{"view_html":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6","download_json":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6.json","view_paper":"https://pith.science/paper/TPLXUJSD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.06786&json=true","fetch_graph":"https://pith.science/api/pith-number/TPLXUJSDU5NKRHKANIW2QOORY6/graph.json","fetch_events":"https://pith.science/api/pith-number/TPLXUJSDU5NKRHKANIW2QOORY6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6/action/storage_attestation","attest_author":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6/action/author_attestation","sign_citation":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6/action/citation_signature","submit_replication":"https://pith.science/pith/TPLXUJSDU5NKRHKANIW2QOORY6/action/replication_record"}},"created_at":"2026-07-05T12:06:52.896166+00:00","updated_at":"2026-07-05T12:06:52.896166+00:00"}