{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LYCLLQFMH7VFI2MJTXPMQRJY3Y","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":"a63fe02181c049113aca0674053044787f2931c1924016d58a44844b91a4a8fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-06T17:22:08Z","title_canon_sha256":"6b776227b52139ef22bb146ee4217f6c1a11d72af1eb5d78341bc24368f9d96c"},"schema_version":"1.0","source":{"id":"2406.04271","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04271","created_at":"2026-07-05T09:19:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04271v2","created_at":"2026-07-05T09:19:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04271","created_at":"2026-07-05T09:19:58Z"},{"alias_kind":"pith_short_12","alias_value":"LYCLLQFMH7VF","created_at":"2026-07-05T09:19:58Z"},{"alias_kind":"pith_short_16","alias_value":"LYCLLQFMH7VFI2MJ","created_at":"2026-07-05T09:19:58Z"},{"alias_kind":"pith_short_8","alias_value":"LYCLLQFM","created_at":"2026-07-05T09:19:58Z"}],"graph_snapshots":[{"event_id":"sha256:cffcf6dec62035812dc2b23336a93ddb4db869e0026305540e3e1474b87f41e8","target":"graph","created_at":"2026-07-05T09:19:58Z","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/2406.04271/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Buffer of Thoughts (BoT), a novel and versatile thought-augmented reasoning approach for enhancing accuracy, efficiency and robustness of large language models (LLMs). Specifically, we propose meta-buffer to store a series of informative high-level thoughts, namely thought-template, distilled from the problem-solving processes across various tasks. Then for each problem, we retrieve a relevant thought-template and adaptively instantiate it with specific reasoning structures to conduct efficient reasoning. To guarantee the scalability and stability, we further propose buffer-manage","authors_text":"Bin Cui, Joseph E. Gonzalez, Ling Yang, Minkai Xu, Shiyi Cao, Tianjun Zhang, Wentao Zhang, Zhaochen Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-06T17:22:08Z","title":"Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04271","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":"sha256:851c8de4e97fb15b225b24d0adb3637f7ff2cb5063772fae44614bbde7d2f97e","target":"record","created_at":"2026-07-05T09:19:58Z","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":"a63fe02181c049113aca0674053044787f2931c1924016d58a44844b91a4a8fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-06T17:22:08Z","title_canon_sha256":"6b776227b52139ef22bb146ee4217f6c1a11d72af1eb5d78341bc24368f9d96c"},"schema_version":"1.0","source":{"id":"2406.04271","kind":"arxiv","version":2}},"canonical_sha256":"5e04b5c0ac3fea5469899ddec84538de38cf12766cc880b2d6698b2b05d09068","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e04b5c0ac3fea5469899ddec84538de38cf12766cc880b2d6698b2b05d09068","first_computed_at":"2026-07-05T09:19:58.276560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:58.276560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gV8tXedyznD3iF7bC5e9ZjbP85UlVAlUB0V6DgfVxyUQjRPPdjp2nZhzY/u5mtbdcTpeq3VHhk9ueXk2KavKCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:58.277151Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.04271","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:851c8de4e97fb15b225b24d0adb3637f7ff2cb5063772fae44614bbde7d2f97e","sha256:cffcf6dec62035812dc2b23336a93ddb4db869e0026305540e3e1474b87f41e8"],"state_sha256":"962f0f39e69f24f9811b71496edca553ceb00e328b436b313e8118f2a3a4ac89"}