{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YR5YLPBU7A57LCRCTUPXA5GN4L","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":"8c4198152411508449fb83829987504575b6f1444c9baf8f452ab3910d0d6942","cross_cats_sorted":["cs.AI","cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-06T16:03:46Z","title_canon_sha256":"686724950482047ad540fdc4b8d9cd1565cfa24b009a9092b3d83feaf79ca052"},"schema_version":"1.0","source":{"id":"2311.03220","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.03220","created_at":"2026-07-05T07:33:57Z"},{"alias_kind":"arxiv_version","alias_value":"2311.03220v4","created_at":"2026-07-05T07:33:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.03220","created_at":"2026-07-05T07:33:57Z"},{"alias_kind":"pith_short_12","alias_value":"YR5YLPBU7A57","created_at":"2026-07-05T07:33:57Z"},{"alias_kind":"pith_short_16","alias_value":"YR5YLPBU7A57LCRC","created_at":"2026-07-05T07:33:57Z"},{"alias_kind":"pith_short_8","alias_value":"YR5YLPBU","created_at":"2026-07-05T07:33:57Z"}],"graph_snapshots":[{"event_id":"sha256:4ea6f7adc218e71bf012da9ea92fe6d0b4ac8ffd75a145e341534cb561a44719","target":"graph","created_at":"2026-07-05T07:33:57Z","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/2311.03220/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces Alympics (Olympics for Agents), a systematic simulation framework utilizing Large Language Model (LLM) agents for game theory research. Alympics creates a versatile platform for studying complex game theory problems, bridging the gap between theoretical game theory and empirical investigations by providing a controlled environment for simulating human-like strategic interactions with LLM agents. In our pilot case study, the \"Water Allocation Challenge,\" we explore Alympics through a challenging strategic game focused on the multi-round auction on scarce survival resources","authors_text":"Fengyi Wang, Furu Wei, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia, Yuzhe Cai","cross_cats":["cs.AI","cs.GT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-06T16:03:46Z","title":"ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.03220","kind":"arxiv","version":4},"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":"sha256:4c12e979556d6c651fe6757e1f469e8f5b53d69a85da4d49111661b0306843bd","target":"record","created_at":"2026-07-05T07:33:57Z","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":"8c4198152411508449fb83829987504575b6f1444c9baf8f452ab3910d0d6942","cross_cats_sorted":["cs.AI","cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-06T16:03:46Z","title_canon_sha256":"686724950482047ad540fdc4b8d9cd1565cfa24b009a9092b3d83feaf79ca052"},"schema_version":"1.0","source":{"id":"2311.03220","kind":"arxiv","version":4}},"canonical_sha256":"c47b85bc34f83bf58a229d1f7074cde2fe04db63617e3dd87b444020d76ff89b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c47b85bc34f83bf58a229d1f7074cde2fe04db63617e3dd87b444020d76ff89b","first_computed_at":"2026-07-05T07:33:57.861387Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:33:57.861387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FcJg8KPqEQCa/RrQ66ZeDpfsv/hMETDny3G8GwMDE1iAkWpwTZHFtgDQF/5jBuz+5ObEppN5K3HS48Kha9UuCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:33:57.861856Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.03220","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c12e979556d6c651fe6757e1f469e8f5b53d69a85da4d49111661b0306843bd","sha256:4ea6f7adc218e71bf012da9ea92fe6d0b4ac8ffd75a145e341534cb561a44719"],"state_sha256":"09be57da0cfcd0e894dfb6e77f0197c634e1460daafcfc7fa8fe3dd1fcee7d2e"}