{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VEOXA37YELGGESO2NLK2NNDAZJ","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":"f937ced3e2f27099fa9750be4d49054a91b595244b5ccef03b5d9895be2f2f06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T22:28:22Z","title_canon_sha256":"744f9bb82ac402d2dfa8dabc5119e73792cdbaf7904013bf22def8e005c51e95"},"schema_version":"1.0","source":{"id":"2410.14890","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14890","created_at":"2026-07-05T09:22:45Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14890v1","created_at":"2026-07-05T09:22:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14890","created_at":"2026-07-05T09:22:45Z"},{"alias_kind":"pith_short_12","alias_value":"VEOXA37YELGG","created_at":"2026-07-05T09:22:45Z"},{"alias_kind":"pith_short_16","alias_value":"VEOXA37YELGGESO2","created_at":"2026-07-05T09:22:45Z"},{"alias_kind":"pith_short_8","alias_value":"VEOXA37Y","created_at":"2026-07-05T09:22:45Z"}],"graph_snapshots":[{"event_id":"sha256:bfda0009993f459bc4e283be5846974fb621fad0325547fe6190148c6cad5556","target":"graph","created_at":"2026-07-05T09:22:45Z","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/2410.14890/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We develop a method that integrates the tree of thoughts and multi-agent framework to enhance the capability of pre-trained language models in solving complex, unfamiliar games. The method decomposes game-solving into four incremental tasks -- game summarization, area selection, action extraction, and action validation -- each assigned to a specific language-model agent. By constructing a tree of thoughts, the method simulates reasoning paths and allows agents to collaboratively distill game representations and tactics, mitigating the limitations of language models in reasoning and long-term m","authors_text":"Leonard Berthellemy, Ufuk Topcu, Yunhao Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T22:28:22Z","title":"Reasoning, Memorization, and Fine-Tuning Language Models for Non-Cooperative Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14890","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":"sha256:46fdc9455b652f335960746b7f6ce34437599be4c42261495938d9f6b04d1725","target":"record","created_at":"2026-07-05T09:22:45Z","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":"f937ced3e2f27099fa9750be4d49054a91b595244b5ccef03b5d9895be2f2f06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T22:28:22Z","title_canon_sha256":"744f9bb82ac402d2dfa8dabc5119e73792cdbaf7904013bf22def8e005c51e95"},"schema_version":"1.0","source":{"id":"2410.14890","kind":"arxiv","version":1}},"canonical_sha256":"a91d706ff822cc6249da6ad5a6b460ca5c06ed9e91bfdb625d539b3e00ad5391","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a91d706ff822cc6249da6ad5a6b460ca5c06ed9e91bfdb625d539b3e00ad5391","first_computed_at":"2026-07-05T09:22:45.969106Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:45.969106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QTN8omSlVLD8Uy+9b+TmdQ2dxm5ohu+d1W+we+JhPOxACHu/Jy28limzyQRwMfch6Ax7+eVLKAY2mOUHv77nDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:45.969607Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14890","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46fdc9455b652f335960746b7f6ce34437599be4c42261495938d9f6b04d1725","sha256:bfda0009993f459bc4e283be5846974fb621fad0325547fe6190148c6cad5556"],"state_sha256":"54d671295661eac9d742584a45d20ac2859aeba9c53309e1f8b366eec6147371"}