{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WCVBB6ZSHWP6GDPDH4SMIVORF4","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":"6287e07b73770f8d27e177622eae7c949910968b47c5dfb98ff6de3470485658","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-08T19:16:29Z","title_canon_sha256":"551493a6bed8d76661cc53386827653b9bdb0cf69b2a3d2c7dc7e5f85d17c0c1"},"schema_version":"1.0","source":{"id":"2403.05632","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.05632","created_at":"2026-07-05T07:54:11Z"},{"alias_kind":"arxiv_version","alias_value":"2403.05632v1","created_at":"2026-07-05T07:54:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.05632","created_at":"2026-07-05T07:54:11Z"},{"alias_kind":"pith_short_12","alias_value":"WCVBB6ZSHWP6","created_at":"2026-07-05T07:54:11Z"},{"alias_kind":"pith_short_16","alias_value":"WCVBB6ZSHWP6GDPD","created_at":"2026-07-05T07:54:11Z"},{"alias_kind":"pith_short_8","alias_value":"WCVBB6ZS","created_at":"2026-07-05T07:54:11Z"}],"graph_snapshots":[{"event_id":"sha256:3921dff0a0cc2317fccdb489d7abfd1f727f05db9d32811c9ee0c1243c8dc51c","target":"graph","created_at":"2026-07-05T07:54:11Z","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/2403.05632/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) harness extensive data from the Internet, storing a broad spectrum of prior knowledge. While LLMs have proven beneficial as decision-making aids, their reliability is hampered by limitations in reasoning, hallucination phenomenon, and so on. On the other hand, Monte-Carlo Tree Search (MCTS) is a heuristic search algorithm that provides reliable decision-making solutions, achieved through recursive rollouts and self-play. However, the effectiveness of MCTS relies heavily on heuristic pruning and external value functions, particularly in complex decision scenarios. T","authors_text":"Hongyi Guo, Yufeng Zhang, Zhaoran Wang, Zhihan Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-08T19:16:29Z","title":"Can Large Language Models Play Games? A Case Study of A Self-Play Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.05632","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":"sha256:3e77ba7b4b236ee7060d97adba457477cd5138cfdffd5c69a7ab69f3551fff4f","target":"record","created_at":"2026-07-05T07:54:11Z","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":"6287e07b73770f8d27e177622eae7c949910968b47c5dfb98ff6de3470485658","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-03-08T19:16:29Z","title_canon_sha256":"551493a6bed8d76661cc53386827653b9bdb0cf69b2a3d2c7dc7e5f85d17c0c1"},"schema_version":"1.0","source":{"id":"2403.05632","kind":"arxiv","version":1}},"canonical_sha256":"b0aa10fb323d9fe30de33f24c455d12f3bdcaf4587a8a358033509941e9489f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0aa10fb323d9fe30de33f24c455d12f3bdcaf4587a8a358033509941e9489f4","first_computed_at":"2026-07-05T07:54:11.097984Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:11.097984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qiYnDxNJtr7H2YD3xyAJG8X/rtewapgLwXRzvlqrNeQiyyFg/JD3g1RwQZUz+BalvVQ2n19qHo7ytGKeqkQ1Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:11.098478Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.05632","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e77ba7b4b236ee7060d97adba457477cd5138cfdffd5c69a7ab69f3551fff4f","sha256:3921dff0a0cc2317fccdb489d7abfd1f727f05db9d32811c9ee0c1243c8dc51c"],"state_sha256":"b18c8b0a2590da23cdd6b3c50a3b5f7f52d0b5d9d9a502b181e3c5a522a258ba"}