{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:GKNDCVW2Q3PE6YYZ6D33GTO336","short_pith_number":"pith:GKNDCVW2","canonical_record":{"source":{"id":"2602.12316","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-12T17:29:52Z","cross_cats_sorted":["cs.CL","cs.CY","cs.GT","cs.MA"],"title_canon_sha256":"c459d4926902ceb164be4c5e35d959fe20ba3c2cb3f15e7faf49c9b71a3588ad","abstract_canon_sha256":"90b8a5d0b3507e98c62ab603ff3de2fd88c16c2c96b12b2b6c41213c7466c293"},"schema_version":"1.0"},"canonical_sha256":"329a3156da86de4f6319f0f7b34ddbdf8d01f530bee73ddfbdf867987ff950cf","source":{"kind":"arxiv","id":"2602.12316","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.12316","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2602.12316v2","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.12316","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"GKNDCVW2Q3PE","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"GKNDCVW2Q3PE6YYZ","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"GKNDCVW2","created_at":"2026-05-25T02:01:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:GKNDCVW2Q3PE6YYZ6D33GTO336","target":"record","payload":{"canonical_record":{"source":{"id":"2602.12316","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-12T17:29:52Z","cross_cats_sorted":["cs.CL","cs.CY","cs.GT","cs.MA"],"title_canon_sha256":"c459d4926902ceb164be4c5e35d959fe20ba3c2cb3f15e7faf49c9b71a3588ad","abstract_canon_sha256":"90b8a5d0b3507e98c62ab603ff3de2fd88c16c2c96b12b2b6c41213c7466c293"},"schema_version":"1.0"},"canonical_sha256":"329a3156da86de4f6319f0f7b34ddbdf8d01f530bee73ddfbdf867987ff950cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:15.060424Z","signature_b64":"vPLoyuuTlf7XQDMgnU0icXumfoN2wgUATHcXFCjddRFuUYBz3Z+mUliE6ag4GDE+z7OmQznccg97ErxKMf+xCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"329a3156da86de4f6319f0f7b34ddbdf8d01f530bee73ddfbdf867987ff950cf","last_reissued_at":"2026-05-25T02:01:15.059572Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:15.059572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.12316","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:01:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7q68WuZd/8PaI6l/Fmb3rU93TfVjXX/8tip0naYFUP7Q7jWuIorSiE3NBGUPy8YbSHPQH2HlpobY8UEVBtRhDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T18:29:49.531800Z"},"content_sha256":"7a684a312a0e594654ea6dbcd0439dc6bdee479700a5402d5b9d80f983820b18","schema_version":"1.0","event_id":"sha256:7a684a312a0e594654ea6dbcd0439dc6bdee479700a5402d5b9d80f983820b18"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:GKNDCVW2Q3PE6YYZ6D33GTO336","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CY","cs.GT","cs.MA"],"primary_cat":"cs.AI","authors_text":"Isabel Dahlgren, Pepijn Cobben, Terry Jingchen Zhang, Thao Amelia Pham, Xuanqiang Angelo Huang, Zhijing Jin","submitted_at":"2026-02-12T17:29:52Z","abstract_excerpt":"Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single agents, leaving multi-agent risks such as coordination failure and conflict poorly understood. We introduce GT-HarmBench, a benchmark of 1,535 high-stakes scenarios spanning game-theoretic structures such as the Prisoner's Dilemma, Stag Hunt and Chicken. Scenarios are drawn from realistic AI risk contexts in the MIT AI Risk Repository. Across 15 frontier models, agents fail to choose socially beneficial actions in 38% of high-stakes c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.12316","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/2602.12316/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:01:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SohhkJvcIJ186lRpxCDE7sbx9ukodZ1re3wW2vx4ZaxT+lp/8uBueYvqgEUtpXVKwJzf4LxCrz93pxQinarjBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T18:29:49.532503Z"},"content_sha256":"a6f52e72cbf04ff27e94114092becf5c1bddc26c8f3136fe749e577385f66800","schema_version":"1.0","event_id":"sha256:a6f52e72cbf04ff27e94114092becf5c1bddc26c8f3136fe749e577385f66800"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GKNDCVW2Q3PE6YYZ6D33GTO336/bundle.json","state_url":"https://pith.science/pith/GKNDCVW2Q3PE6YYZ6D33GTO336/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GKNDCVW2Q3PE6YYZ6D33GTO336/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T18:29:49Z","links":{"resolver":"https://pith.science/pith/GKNDCVW2Q3PE6YYZ6D33GTO336","bundle":"https://pith.science/pith/GKNDCVW2Q3PE6YYZ6D33GTO336/bundle.json","state":"https://pith.science/pith/GKNDCVW2Q3PE6YYZ6D33GTO336/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GKNDCVW2Q3PE6YYZ6D33GTO336/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GKNDCVW2Q3PE6YYZ6D33GTO336","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":"90b8a5d0b3507e98c62ab603ff3de2fd88c16c2c96b12b2b6c41213c7466c293","cross_cats_sorted":["cs.CL","cs.CY","cs.GT","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-12T17:29:52Z","title_canon_sha256":"c459d4926902ceb164be4c5e35d959fe20ba3c2cb3f15e7faf49c9b71a3588ad"},"schema_version":"1.0","source":{"id":"2602.12316","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.12316","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2602.12316v2","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.12316","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"GKNDCVW2Q3PE","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"GKNDCVW2Q3PE6YYZ","created_at":"2026-05-25T02:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"GKNDCVW2","created_at":"2026-05-25T02:01:15Z"}],"graph_snapshots":[{"event_id":"sha256:a6f52e72cbf04ff27e94114092becf5c1bddc26c8f3136fe749e577385f66800","target":"graph","created_at":"2026-05-25T02:01:15Z","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/2602.12316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single agents, leaving multi-agent risks such as coordination failure and conflict poorly understood. We introduce GT-HarmBench, a benchmark of 1,535 high-stakes scenarios spanning game-theoretic structures such as the Prisoner's Dilemma, Stag Hunt and Chicken. Scenarios are drawn from realistic AI risk contexts in the MIT AI Risk Repository. Across 15 frontier models, agents fail to choose socially beneficial actions in 38% of high-stakes c","authors_text":"Isabel Dahlgren, Pepijn Cobben, Terry Jingchen Zhang, Thao Amelia Pham, Xuanqiang Angelo Huang, Zhijing Jin","cross_cats":["cs.CL","cs.CY","cs.GT","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-12T17:29:52Z","title":"GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.12316","kind":"arxiv","version":2},"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":"sha256:7a684a312a0e594654ea6dbcd0439dc6bdee479700a5402d5b9d80f983820b18","target":"record","created_at":"2026-05-25T02:01:15Z","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":"90b8a5d0b3507e98c62ab603ff3de2fd88c16c2c96b12b2b6c41213c7466c293","cross_cats_sorted":["cs.CL","cs.CY","cs.GT","cs.MA"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-02-12T17:29:52Z","title_canon_sha256":"c459d4926902ceb164be4c5e35d959fe20ba3c2cb3f15e7faf49c9b71a3588ad"},"schema_version":"1.0","source":{"id":"2602.12316","kind":"arxiv","version":2}},"canonical_sha256":"329a3156da86de4f6319f0f7b34ddbdf8d01f530bee73ddfbdf867987ff950cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"329a3156da86de4f6319f0f7b34ddbdf8d01f530bee73ddfbdf867987ff950cf","first_computed_at":"2026-05-25T02:01:15.059572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:15.059572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vPLoyuuTlf7XQDMgnU0icXumfoN2wgUATHcXFCjddRFuUYBz3Z+mUliE6ag4GDE+z7OmQznccg97ErxKMf+xCA==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:15.060424Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.12316","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a684a312a0e594654ea6dbcd0439dc6bdee479700a5402d5b9d80f983820b18","sha256:a6f52e72cbf04ff27e94114092becf5c1bddc26c8f3136fe749e577385f66800"],"state_sha256":"9a6e3f608b695a10d392b0e388a96ac65d543eeea4dcd20fc93941db6e62b2d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lvnbQcAKIFAIf/tmfOiya4dAnFPjYmVoobfVcSYJwPmtNCtMx5GV9gIT0mB2UH8BVz0moStQJ/cfAKqLZgqSAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T18:29:49.536393Z","bundle_sha256":"25a36a45737fd31248caadbf6f5d2d0ea39e71065aae200fb5a1734138d10e65"}}