{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YR5YLPBU7A57LCRCTUPXA5GN4L","short_pith_number":"pith:YR5YLPBU","canonical_record":{"source":{"id":"2311.03220","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-06T16:03:46Z","cross_cats_sorted":["cs.AI","cs.GT"],"title_canon_sha256":"686724950482047ad540fdc4b8d9cd1565cfa24b009a9092b3d83feaf79ca052","abstract_canon_sha256":"8c4198152411508449fb83829987504575b6f1444c9baf8f452ab3910d0d6942"},"schema_version":"1.0"},"canonical_sha256":"c47b85bc34f83bf58a229d1f7074cde2fe04db63617e3dd87b444020d76ff89b","source":{"kind":"arxiv","id":"2311.03220","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YR5YLPBU7A57LCRCTUPXA5GN4L","target":"record","payload":{"canonical_record":{"source":{"id":"2311.03220","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-06T16:03:46Z","cross_cats_sorted":["cs.AI","cs.GT"],"title_canon_sha256":"686724950482047ad540fdc4b8d9cd1565cfa24b009a9092b3d83feaf79ca052","abstract_canon_sha256":"8c4198152411508449fb83829987504575b6f1444c9baf8f452ab3910d0d6942"},"schema_version":"1.0"},"canonical_sha256":"c47b85bc34f83bf58a229d1f7074cde2fe04db63617e3dd87b444020d76ff89b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:33:57.861856Z","signature_b64":"FcJg8KPqEQCa/RrQ66ZeDpfsv/hMETDny3G8GwMDE1iAkWpwTZHFtgDQF/5jBuz+5ObEppN5K3HS48Kha9UuCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c47b85bc34f83bf58a229d1f7074cde2fe04db63617e3dd87b444020d76ff89b","last_reissued_at":"2026-07-05T07:33:57.861387Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:33:57.861387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.03220","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:33:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7XZqcR4RG4EGCkZFVXtYpChScpgKGgePCX8lnlsQX1J2xJzAckPv0+gWE4lb2wC0t6bw6llf6f9JysRXNDWdCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:47:40.238393Z"},"content_sha256":"4c12e979556d6c651fe6757e1f469e8f5b53d69a85da4d49111661b0306843bd","schema_version":"1.0","event_id":"sha256:4c12e979556d6c651fe6757e1f469e8f5b53d69a85da4d49111661b0306843bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YR5YLPBU7A57LCRCTUPXA5GN4L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.GT"],"primary_cat":"cs.CL","authors_text":"Fengyi Wang, Furu Wei, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia, Yuzhe Cai","submitted_at":"2023-11-06T16:03:46Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.03220","kind":"arxiv","version":4},"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/2311.03220/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":"2026-07-05T07:33:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nHK7fRZLfd6lq3iO1mKV2sIhPJsUW4rUu6Mc9VZjk2j2R3EeJCIBzQFKEJWyeRoZjsp7FY7Q+oT2iLVzV6tNDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:47:40.238942Z"},"content_sha256":"4ea6f7adc218e71bf012da9ea92fe6d0b4ac8ffd75a145e341534cb561a44719","schema_version":"1.0","event_id":"sha256:4ea6f7adc218e71bf012da9ea92fe6d0b4ac8ffd75a145e341534cb561a44719"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YR5YLPBU7A57LCRCTUPXA5GN4L/bundle.json","state_url":"https://pith.science/pith/YR5YLPBU7A57LCRCTUPXA5GN4L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YR5YLPBU7A57LCRCTUPXA5GN4L/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":"2026-08-08T11:47:40Z","links":{"resolver":"https://pith.science/pith/YR5YLPBU7A57LCRCTUPXA5GN4L","bundle":"https://pith.science/pith/YR5YLPBU7A57LCRCTUPXA5GN4L/bundle.json","state":"https://pith.science/pith/YR5YLPBU7A57LCRCTUPXA5GN4L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YR5YLPBU7A57LCRCTUPXA5GN4L/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q4z0sVqPHcPT36tN6+1KUCqyvb0219t3apzJUicI2pMWShHrMUqk8QZ72D/lU7L/Bag2HmzC2iEXVDvBHKgZDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:47:40.242376Z","bundle_sha256":"fdd8b2bfa44451b4cb684194f2c7a86116f8839f93ec2dd7e3a436aacd96325a"}}