{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:G57Q6GTYMR7AF7NGSVS7FW5QMR","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a4c77d988162011cae297e3585fa306629e59d34362221b136d32b28ef1bb707","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T15:49:14Z","title_canon_sha256":"19ad5bbf37e2b0af1613675de9d220b0de58240a715fe945c65fc763abb50084"},"schema_version":"1.0","source":{"id":"2608.02407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.02407","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"arxiv_version","alias_value":"2608.02407v1","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.02407","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_12","alias_value":"G57Q6GTYMR7A","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_16","alias_value":"G57Q6GTYMR7AF7NG","created_at":"2026-08-04T02:12:09Z"},{"alias_kind":"pith_short_8","alias_value":"G57Q6GTY","created_at":"2026-08-04T02:12:09Z"}],"graph_snapshots":[{"event_id":"sha256:992afb126a560bd5703f55ed6066149a2ceec5d43e3661e9602b1b1cb1124652","target":"graph","created_at":"2026-08-04T02:12:09Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2608.02407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vulnerability localization is a fundamental step in software security, requiring models to reason over large codebases and iteratively identify vulnerable implementations. We present Antares, a family of compact language models (350M, 1B, and 3B parameters) for agentic vulnerability localization. Based on IBM Granite base models, Antares is trained through a two-stage pipeline that combines supervised fine-tuning on cybersecurity reasoning and repository exploration data with reinforcement learning from verifiable rewards over vulnerable repositories. Across extensive evaluations, Antares-3B a","authors_text":"Aman Priyanshu, Amin Karbasi, Arthur Goldblatt, Baturay Saglam, Didier Chapoteau, Fraser Burch, Jianliang He, Kimia Majd, Supriti Vijay, Takahiro Matsumoto, Zhuoran Yang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T15:49:14Z","title":"Antares: Foundation Models for Agentic Vulnerability Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.02407","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:234710e85c37b39eb0c8d89429c1142b794c05daeb820b67eee308bc740f92d5","target":"record","created_at":"2026-08-04T02:12:09Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a4c77d988162011cae297e3585fa306629e59d34362221b136d32b28ef1bb707","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-03T15:49:14Z","title_canon_sha256":"19ad5bbf37e2b0af1613675de9d220b0de58240a715fe945c65fc763abb50084"},"schema_version":"1.0","source":{"id":"2608.02407","kind":"arxiv","version":1}},"canonical_sha256":"377f0f1a78647e02fda69565f2dbb064697509776c0fa853448e317d6cad169e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"377f0f1a78647e02fda69565f2dbb064697509776c0fa853448e317d6cad169e","first_computed_at":"2026-08-04T02:12:09.554607Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:12:09.554607Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KOYvv+zGjYy1NIDFH5hTf04i9OFHHkmlawZfjkvp0Oy98GZfjjg939QTCDA8KgxOgaXhfvK6VdPbmUTW1Xh0AA==","signature_status":"signed_v1","signed_at":"2026-08-04T02:12:09.556453Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.02407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:234710e85c37b39eb0c8d89429c1142b794c05daeb820b67eee308bc740f92d5","sha256:992afb126a560bd5703f55ed6066149a2ceec5d43e3661e9602b1b1cb1124652"],"state_sha256":"02983d4342bdba52ef6b52c6407b5c4a293f524b0edefb25e9db77a0e3d89e52"}