{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ALASGF6G6VDEM33C7WAYX3UKON","short_pith_number":"pith:ALASGF6G","canonical_record":{"source":{"id":"2308.10974","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-21T18:42:17Z","cross_cats_sorted":["cs.CE","cs.CL","cs.MA","econ.GN","q-fin.EC"],"title_canon_sha256":"637b812eaffee1a149a936c279b2a3f39b1dc0ad0b5f8718ab21cfa989ed3238","abstract_canon_sha256":"689e65e5ec96aa244831c58470bb0aa30a8e4e8dbba760ae262d39018bd30e4f"},"schema_version":"1.0"},"canonical_sha256":"02c12317c6f546466f62fd818bee8a7367d6a855c93b5f96bbf1d239669c3bfc","source":{"kind":"arxiv","id":"2308.10974","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10974","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10974v4","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10974","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"pith_short_12","alias_value":"ALASGF6G6VDE","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"pith_short_16","alias_value":"ALASGF6G6VDEM33C","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"pith_short_8","alias_value":"ALASGF6G","created_at":"2026-07-05T07:40:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ALASGF6G6VDEM33C7WAYX3UKON","target":"record","payload":{"canonical_record":{"source":{"id":"2308.10974","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-21T18:42:17Z","cross_cats_sorted":["cs.CE","cs.CL","cs.MA","econ.GN","q-fin.EC"],"title_canon_sha256":"637b812eaffee1a149a936c279b2a3f39b1dc0ad0b5f8718ab21cfa989ed3238","abstract_canon_sha256":"689e65e5ec96aa244831c58470bb0aa30a8e4e8dbba760ae262d39018bd30e4f"},"schema_version":"1.0"},"canonical_sha256":"02c12317c6f546466f62fd818bee8a7367d6a855c93b5f96bbf1d239669c3bfc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:40:41.049707Z","signature_b64":"dR4KVXSAu7K2mlY/I0b48SVNJvVris0CT9a+LDsDe4+THG72EHUuq3VDb4IMZ1Ev+g7lOLw8YGNJSWrKjrwLDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02c12317c6f546466f62fd818bee8a7367d6a855c93b5f96bbf1d239669c3bfc","last_reissued_at":"2026-07-05T07:40:41.049255Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:40:41.049255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.10974","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":"2026-07-05T07:40:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6X9k0y1hs2lnCn1Y9cQJk64I13xNX4ORmXNp7Yed3kNGQXMhsTUR5VDgbeOgcU0wI4ZLndEpKRZgfK8L463mAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:15:50.266097Z"},"content_sha256":"81565091e60b2bd72cc0762292c2c901f93e6f84d5d92e00fb00eb0719ebe23f","schema_version":"1.0","event_id":"sha256:81565091e60b2bd72cc0762292c2c901f93e6f84d5d92e00fb00eb0719ebe23f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ALASGF6G6VDEM33C7WAYX3UKON","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"\"Guinea Pig Trials\" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CE","cs.CL","cs.MA","econ.GN","q-fin.EC"],"primary_cat":"cs.AI","authors_text":"Chuan Xiao, Xu Han, Zengqing Wu","submitted_at":"2023-08-21T18:42:17Z","abstract_excerpt":"Firm competition and collusion involve complex dynamics, particularly when considering communication among firms. Such issues can be modeled as problems of complex systems, traditionally approached through experiments involving human subjects or agent-based modeling methods. We propose an innovative framework called Smart Agent-Based Modeling (SABM), wherein smart agents, supported by GPT-4 technologies, represent firms, and interact with one another. We conducted a controlled experiment to study firm price competition and collusion behaviors under various conditions. SABM is more cost-effecti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10974","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/2308.10974/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":"2026-07-05T07:40:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dSvTg50FbXHmw8VjWs81Bw8fDyExhULo5ijgMuQIF1BqL8ufPUYEe9vZy646cKDcemxxzS1+s+dKVvWMlKXCAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T11:15:50.266605Z"},"content_sha256":"3fc80c2c7b55520c5911243b08bf647701e6f5f09a2bf742b9f3acb5bfbe0f5d","schema_version":"1.0","event_id":"sha256:3fc80c2c7b55520c5911243b08bf647701e6f5f09a2bf742b9f3acb5bfbe0f5d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ALASGF6G6VDEM33C7WAYX3UKON/bundle.json","state_url":"https://pith.science/pith/ALASGF6G6VDEM33C7WAYX3UKON/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ALASGF6G6VDEM33C7WAYX3UKON/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":"2026-08-08T11:15:50Z","links":{"resolver":"https://pith.science/pith/ALASGF6G6VDEM33C7WAYX3UKON","bundle":"https://pith.science/pith/ALASGF6G6VDEM33C7WAYX3UKON/bundle.json","state":"https://pith.science/pith/ALASGF6G6VDEM33C7WAYX3UKON/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ALASGF6G6VDEM33C7WAYX3UKON/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ALASGF6G6VDEM33C7WAYX3UKON","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":"689e65e5ec96aa244831c58470bb0aa30a8e4e8dbba760ae262d39018bd30e4f","cross_cats_sorted":["cs.CE","cs.CL","cs.MA","econ.GN","q-fin.EC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-21T18:42:17Z","title_canon_sha256":"637b812eaffee1a149a936c279b2a3f39b1dc0ad0b5f8718ab21cfa989ed3238"},"schema_version":"1.0","source":{"id":"2308.10974","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.10974","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"arxiv_version","alias_value":"2308.10974v4","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.10974","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"pith_short_12","alias_value":"ALASGF6G6VDE","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"pith_short_16","alias_value":"ALASGF6G6VDEM33C","created_at":"2026-07-05T07:40:41Z"},{"alias_kind":"pith_short_8","alias_value":"ALASGF6G","created_at":"2026-07-05T07:40:41Z"}],"graph_snapshots":[{"event_id":"sha256:3fc80c2c7b55520c5911243b08bf647701e6f5f09a2bf742b9f3acb5bfbe0f5d","target":"graph","created_at":"2026-07-05T07:40:41Z","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/2308.10974/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Firm competition and collusion involve complex dynamics, particularly when considering communication among firms. Such issues can be modeled as problems of complex systems, traditionally approached through experiments involving human subjects or agent-based modeling methods. We propose an innovative framework called Smart Agent-Based Modeling (SABM), wherein smart agents, supported by GPT-4 technologies, represent firms, and interact with one another. We conducted a controlled experiment to study firm price competition and collusion behaviors under various conditions. SABM is more cost-effecti","authors_text":"Chuan Xiao, Xu Han, Zengqing Wu","cross_cats":["cs.CE","cs.CL","cs.MA","econ.GN","q-fin.EC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-21T18:42:17Z","title":"\"Guinea Pig Trials\" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.10974","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":"sha256:81565091e60b2bd72cc0762292c2c901f93e6f84d5d92e00fb00eb0719ebe23f","target":"record","created_at":"2026-07-05T07:40:41Z","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":"689e65e5ec96aa244831c58470bb0aa30a8e4e8dbba760ae262d39018bd30e4f","cross_cats_sorted":["cs.CE","cs.CL","cs.MA","econ.GN","q-fin.EC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-08-21T18:42:17Z","title_canon_sha256":"637b812eaffee1a149a936c279b2a3f39b1dc0ad0b5f8718ab21cfa989ed3238"},"schema_version":"1.0","source":{"id":"2308.10974","kind":"arxiv","version":4}},"canonical_sha256":"02c12317c6f546466f62fd818bee8a7367d6a855c93b5f96bbf1d239669c3bfc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02c12317c6f546466f62fd818bee8a7367d6a855c93b5f96bbf1d239669c3bfc","first_computed_at":"2026-07-05T07:40:41.049255Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:40:41.049255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dR4KVXSAu7K2mlY/I0b48SVNJvVris0CT9a+LDsDe4+THG72EHUuq3VDb4IMZ1Ev+g7lOLw8YGNJSWrKjrwLDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:40:41.049707Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.10974","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81565091e60b2bd72cc0762292c2c901f93e6f84d5d92e00fb00eb0719ebe23f","sha256:3fc80c2c7b55520c5911243b08bf647701e6f5f09a2bf742b9f3acb5bfbe0f5d"],"state_sha256":"e31ece1b586b92545d6135fff38b9111e4165291a95004c0a26f76da3bc79476"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pU5f4L7BK7ZrEq73f+FyZiyDwigK6ar2hSb3SMQMYjctZXTLJNbvKlcnA7dsEQ3qfshtKzI+g4VtLbiINAOsBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T11:15:50.270527Z","bundle_sha256":"19ecb11a95f1ab0b9f11cd121b1fb25c198de7350be725895d059fddecc6e25d"}}