{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5PH3PKSWIRCSQWQ6QWYEKXCFWR","short_pith_number":"pith:5PH3PKSW","canonical_record":{"source":{"id":"2501.17186","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-26T09:43:39Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"d36aa7ed3bf77ad6fb41b68d270aea5479eff034aed05d668045f2b8e34e455f","abstract_canon_sha256":"cf1ff1d95d55a150c2ff7bca79c4e319b824f9e33d3a633dc461e7f5a424eb48"},"schema_version":"1.0"},"canonical_sha256":"ebcfb7aa564445285a1e85b0455c45b446b5bc8bb116fdbfbadb9c878be751e4","source":{"kind":"arxiv","id":"2501.17186","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17186","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17186v2","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17186","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_12","alias_value":"5PH3PKSWIRCS","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_16","alias_value":"5PH3PKSWIRCSQWQ6","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_8","alias_value":"5PH3PKSW","created_at":"2026-07-05T10:07:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5PH3PKSWIRCSQWQ6QWYEKXCFWR","target":"record","payload":{"canonical_record":{"source":{"id":"2501.17186","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-26T09:43:39Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"d36aa7ed3bf77ad6fb41b68d270aea5479eff034aed05d668045f2b8e34e455f","abstract_canon_sha256":"cf1ff1d95d55a150c2ff7bca79c4e319b824f9e33d3a633dc461e7f5a424eb48"},"schema_version":"1.0"},"canonical_sha256":"ebcfb7aa564445285a1e85b0455c45b446b5bc8bb116fdbfbadb9c878be751e4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:07:03.030573Z","signature_b64":"8fKbtZZFcE1XCxWhsoycfcRTNtKU5AjO2r0EYrYqedPSW+D9g5F0g0MthEvO07Dgp6n7gqpJ78MLwV56ieThCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebcfb7aa564445285a1e85b0455c45b446b5bc8bb116fdbfbadb9c878be751e4","last_reissued_at":"2026-07-05T10:07:03.030095Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:07:03.030095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.17186","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:07:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AyaMFD87xTCwYuJQe5VlXe7KByf82fDoNMdA0etcJ+dZdH4RcxK84h7s2uqXh0D3fVkxtbG5csMaMq9olmxrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:23:55.898177Z"},"content_sha256":"9ad6a2a71b488b7d457686527ddaa4790c85786b3f4b29f9f12a465ea5a7aeab","schema_version":"1.0","event_id":"sha256:9ad6a2a71b488b7d457686527ddaa4790c85786b3f4b29f9f12a465ea5a7aeab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5PH3PKSWIRCSQWQ6QWYEKXCFWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Complete Chess Games Enable LLM Become A Chess Master","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Haolong Li, Kedi Chen, Shaohui Lin, Xintian Han, Yinqi Zhang","submitted_at":"2025-01-26T09:43:39Z","abstract_excerpt":"Large language models (LLM) have shown remarkable abilities in text generation, question answering, language translation, reasoning and many other tasks. It continues to advance rapidly and is becoming increasingly influential in various fields, from technology and business to education and entertainment. Despite LLM's success in multiple areas, its ability to play abstract games, such as chess, is underexplored. Chess-playing requires the language models to output legal and reasonable moves from textual inputs. Here, we propose the Large language model ChessLLM to play full chess games. We tr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17186","kind":"arxiv","version":2},"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/2501.17186/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":"2026-07-05T10:07:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Wu9MfhfD1uZ1aOHhqfusfncWvCcbY5kwBfjJvXLfLf78mosw0z1S4altVFNo4U6OTo9bS2YHIGnox/W7cPaCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T13:23:55.898650Z"},"content_sha256":"f6c07b2040941d0fed2dbbe13be42a4166713e443776bd7ca1c8924ee1bb3c16","schema_version":"1.0","event_id":"sha256:f6c07b2040941d0fed2dbbe13be42a4166713e443776bd7ca1c8924ee1bb3c16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5PH3PKSWIRCSQWQ6QWYEKXCFWR/bundle.json","state_url":"https://pith.science/pith/5PH3PKSWIRCSQWQ6QWYEKXCFWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5PH3PKSWIRCSQWQ6QWYEKXCFWR/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":"2026-08-11T13:23:55Z","links":{"resolver":"https://pith.science/pith/5PH3PKSWIRCSQWQ6QWYEKXCFWR","bundle":"https://pith.science/pith/5PH3PKSWIRCSQWQ6QWYEKXCFWR/bundle.json","state":"https://pith.science/pith/5PH3PKSWIRCSQWQ6QWYEKXCFWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5PH3PKSWIRCSQWQ6QWYEKXCFWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5PH3PKSWIRCSQWQ6QWYEKXCFWR","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":"cf1ff1d95d55a150c2ff7bca79c4e319b824f9e33d3a633dc461e7f5a424eb48","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-26T09:43:39Z","title_canon_sha256":"d36aa7ed3bf77ad6fb41b68d270aea5479eff034aed05d668045f2b8e34e455f"},"schema_version":"1.0","source":{"id":"2501.17186","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17186","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17186v2","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17186","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_12","alias_value":"5PH3PKSWIRCS","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_16","alias_value":"5PH3PKSWIRCSQWQ6","created_at":"2026-07-05T10:07:03Z"},{"alias_kind":"pith_short_8","alias_value":"5PH3PKSW","created_at":"2026-07-05T10:07:03Z"}],"graph_snapshots":[{"event_id":"sha256:f6c07b2040941d0fed2dbbe13be42a4166713e443776bd7ca1c8924ee1bb3c16","target":"graph","created_at":"2026-07-05T10:07:03Z","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/2501.17186/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLM) have shown remarkable abilities in text generation, question answering, language translation, reasoning and many other tasks. It continues to advance rapidly and is becoming increasingly influential in various fields, from technology and business to education and entertainment. Despite LLM's success in multiple areas, its ability to play abstract games, such as chess, is underexplored. Chess-playing requires the language models to output legal and reasonable moves from textual inputs. Here, we propose the Large language model ChessLLM to play full chess games. We tr","authors_text":"Haolong Li, Kedi Chen, Shaohui Lin, Xintian Han, Yinqi Zhang","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-26T09:43:39Z","title":"Complete Chess Games Enable LLM Become A Chess Master"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17186","kind":"arxiv","version":2},"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":"sha256:9ad6a2a71b488b7d457686527ddaa4790c85786b3f4b29f9f12a465ea5a7aeab","target":"record","created_at":"2026-07-05T10:07:03Z","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":"cf1ff1d95d55a150c2ff7bca79c4e319b824f9e33d3a633dc461e7f5a424eb48","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-01-26T09:43:39Z","title_canon_sha256":"d36aa7ed3bf77ad6fb41b68d270aea5479eff034aed05d668045f2b8e34e455f"},"schema_version":"1.0","source":{"id":"2501.17186","kind":"arxiv","version":2}},"canonical_sha256":"ebcfb7aa564445285a1e85b0455c45b446b5bc8bb116fdbfbadb9c878be751e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebcfb7aa564445285a1e85b0455c45b446b5bc8bb116fdbfbadb9c878be751e4","first_computed_at":"2026-07-05T10:07:03.030095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:07:03.030095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8fKbtZZFcE1XCxWhsoycfcRTNtKU5AjO2r0EYrYqedPSW+D9g5F0g0MthEvO07Dgp6n7gqpJ78MLwV56ieThCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:07:03.030573Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.17186","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ad6a2a71b488b7d457686527ddaa4790c85786b3f4b29f9f12a465ea5a7aeab","sha256:f6c07b2040941d0fed2dbbe13be42a4166713e443776bd7ca1c8924ee1bb3c16"],"state_sha256":"671138f390caeda665780e63d0bdbb8fc2991061c9e541cce7e6786b439a03d0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bWiPuW3/oJrMwkmI0ybaVrRiUcAgKcdC3GWq1y5Z/h55tcp6IGoI3l7PZVhPY5YqwC9R+PGXSdFMF5sanR0zDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T13:23:55.902827Z","bundle_sha256":"1080173a9a8b2906f01235bbc1bfc424749fda647ca3632fafc9d4bb58006e3a"}}