{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TOEFTMY2DALOMAGXWUIXGAJ7MA","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":"418b073b102c5601bda8d4521dcc2b4ec1f49fae5deb47b7519a3a9665703aba","cross_cats_sorted":["cs.CL","cs.CY","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-19T09:06:45Z","title_canon_sha256":"92884706e5ff8fcfd6b385464ab07aee2ecdc889c5a0c00aa5d8c280e04c6741"},"schema_version":"1.0","source":{"id":"2312.11970","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11970","created_at":"2026-07-05T07:25:57Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11970v1","created_at":"2026-07-05T07:25:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11970","created_at":"2026-07-05T07:25:57Z"},{"alias_kind":"pith_short_12","alias_value":"TOEFTMY2DALO","created_at":"2026-07-05T07:25:57Z"},{"alias_kind":"pith_short_16","alias_value":"TOEFTMY2DALOMAGX","created_at":"2026-07-05T07:25:57Z"},{"alias_kind":"pith_short_8","alias_value":"TOEFTMY2","created_at":"2026-07-05T07:25:57Z"}],"graph_snapshots":[{"event_id":"sha256:9042224dbd5ce103b4ee455d843f1b351ef3bf160b202748402738205976337a","target":"graph","created_at":"2026-07-05T07:25:57Z","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/2312.11970/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Agent-based modeling and simulation has evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents. Integrating large language models into agent-based modeling and simulation presents a promising avenue for enhancing simulation capabilities. This paper surveys the landscape of utilizing large language models in agent-based modeling and simulation, examining their challenges and promising future directions. In this survey, since this is an interdisciplinary field, we first introduce the background of agent-based model","authors_text":"Chen Gao, Fengli Xu, Jingtao Ding, Nian Li, Xiaochong Lan, Yong Li, Yuan Yuan, Zhilun Zhou","cross_cats":["cs.CL","cs.CY","cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-19T09:06:45Z","title":"Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11970","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":"sha256:0ee806018519a02def12e4dadd3d0273bfcd0618a606a9526ec102e42897f0b7","target":"record","created_at":"2026-07-05T07:25:57Z","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":"418b073b102c5601bda8d4521dcc2b4ec1f49fae5deb47b7519a3a9665703aba","cross_cats_sorted":["cs.CL","cs.CY","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-19T09:06:45Z","title_canon_sha256":"92884706e5ff8fcfd6b385464ab07aee2ecdc889c5a0c00aa5d8c280e04c6741"},"schema_version":"1.0","source":{"id":"2312.11970","kind":"arxiv","version":1}},"canonical_sha256":"9b8859b31a1816e600d7b51173013f60338e7c7466fc2f305b52941c214e009e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b8859b31a1816e600d7b51173013f60338e7c7466fc2f305b52941c214e009e","first_computed_at":"2026-07-05T07:25:57.294425Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:25:57.294425Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+kvEXY3cmtww4qKHJw5bQFa8KO1QGiId4y6nlqUHqKHG+2B7Ph7SBAYsUVLXpuDita5HXOHDuWihIaHQ3AS0DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:25:57.294911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11970","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ee806018519a02def12e4dadd3d0273bfcd0618a606a9526ec102e42897f0b7","sha256:9042224dbd5ce103b4ee455d843f1b351ef3bf160b202748402738205976337a"],"state_sha256":"b5db332fa5e1933cb946ced8b80042613ad9003c732d1e66b78cee9e379e9c7d"}