{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WIXDTFHXYZ6DTD7RNJZVUNKEWN","short_pith_number":"pith:WIXDTFHX","canonical_record":{"source":{"id":"2305.16334","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-23T09:36:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cb7e19fe6f6e96158cd340c14e4a6abc68c6e90a9a8dfb3167ab8a5bf040ad3e","abstract_canon_sha256":"39535ea011192d43b79ef939aeaae3a9113516e7bbc127c5bdf18461c5f53017"},"schema_version":"1.0"},"canonical_sha256":"b22e3994f7c67c398ff16a735a3544b3650265fd92479f31e543d10531c1e83c","source":{"kind":"arxiv","id":"2305.16334","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.16334","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"arxiv_version","alias_value":"2305.16334v1","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.16334","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_12","alias_value":"WIXDTFHXYZ6D","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_16","alias_value":"WIXDTFHXYZ6DTD7R","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_8","alias_value":"WIXDTFHX","created_at":"2026-07-05T06:14:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WIXDTFHXYZ6DTD7RNJZVUNKEWN","target":"record","payload":{"canonical_record":{"source":{"id":"2305.16334","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-23T09:36:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cb7e19fe6f6e96158cd340c14e4a6abc68c6e90a9a8dfb3167ab8a5bf040ad3e","abstract_canon_sha256":"39535ea011192d43b79ef939aeaae3a9113516e7bbc127c5bdf18461c5f53017"},"schema_version":"1.0"},"canonical_sha256":"b22e3994f7c67c398ff16a735a3544b3650265fd92479f31e543d10531c1e83c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:14:11.924698Z","signature_b64":"uGkNLy45TbeXJ5kw23Pin9iy9JReZFzGfOK2kMqZdrXNtI3gQvfASHNMOQEJqoPYKHtJKYWwaWGVaplqNocgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b22e3994f7c67c398ff16a735a3544b3650265fd92479f31e543d10531c1e83c","last_reissued_at":"2026-07-05T06:14:11.924244Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:14:11.924244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.16334","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:14:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"huQzPSbvLG2IpV3I1oXt+DzddX3dSs31DeJJO2/8bxrLJY9J6605bnzI/MLFopkiD18LHm/7UUbrqaan5mwBBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:21:46.734459Z"},"content_sha256":"998cf2bdcb90f7e871078d3f9cf4c5739c825f34e559ec3c00cdb0ffb17371a4","schema_version":"1.0","event_id":"sha256:998cf2bdcb90f7e871078d3f9cf4c5739c825f34e559ec3c00cdb0ffb17371a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WIXDTFHXYZ6DTD7RNJZVUNKEWN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Beibei Kong, Bo Hu, Chenglin Li, Chengxiang Zhuo, Lei Chen, Mingxiong Lin, Tao Xie, WenTao Wei, Yuanzhen Xie, Zang Li","submitted_at":"2023-05-23T09:36:51Z","abstract_excerpt":"In most current research, large language models (LLMs) are able to perform reasoning tasks by generating chains of thought through the guidance of specific prompts. However, there still exists a significant discrepancy between their capability in solving complex reasoning problems and that of humans. At present, most approaches focus on chains of thought (COT) and tool use, without considering the adoption and application of human cognitive frameworks. It is well-known that when confronting complex reasoning challenges, humans typically employ various cognitive abilities, and necessitate inter"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.16334","kind":"arxiv","version":1},"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/2305.16334/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":"2026-07-05T06:14:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ByV4xsTUec0blZ3XGZRq7c7yhuqsqVSDFoAjBKfMtn+uZeNswJYZict87kA1xk8Xh9s3QGmTQVNzAXcCdqk3BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:21:46.735000Z"},"content_sha256":"747f12d8c1adac8ed115f6a5222bde4fe167fbcfe0fb689fff328129c1088cca","schema_version":"1.0","event_id":"sha256:747f12d8c1adac8ed115f6a5222bde4fe167fbcfe0fb689fff328129c1088cca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WIXDTFHXYZ6DTD7RNJZVUNKEWN/bundle.json","state_url":"https://pith.science/pith/WIXDTFHXYZ6DTD7RNJZVUNKEWN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WIXDTFHXYZ6DTD7RNJZVUNKEWN/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":"2026-08-08T19:21:46Z","links":{"resolver":"https://pith.science/pith/WIXDTFHXYZ6DTD7RNJZVUNKEWN","bundle":"https://pith.science/pith/WIXDTFHXYZ6DTD7RNJZVUNKEWN/bundle.json","state":"https://pith.science/pith/WIXDTFHXYZ6DTD7RNJZVUNKEWN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WIXDTFHXYZ6DTD7RNJZVUNKEWN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WIXDTFHXYZ6DTD7RNJZVUNKEWN","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":"39535ea011192d43b79ef939aeaae3a9113516e7bbc127c5bdf18461c5f53017","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-23T09:36:51Z","title_canon_sha256":"cb7e19fe6f6e96158cd340c14e4a6abc68c6e90a9a8dfb3167ab8a5bf040ad3e"},"schema_version":"1.0","source":{"id":"2305.16334","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.16334","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"arxiv_version","alias_value":"2305.16334v1","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.16334","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_12","alias_value":"WIXDTFHXYZ6D","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_16","alias_value":"WIXDTFHXYZ6DTD7R","created_at":"2026-07-05T06:14:11Z"},{"alias_kind":"pith_short_8","alias_value":"WIXDTFHX","created_at":"2026-07-05T06:14:11Z"}],"graph_snapshots":[{"event_id":"sha256:747f12d8c1adac8ed115f6a5222bde4fe167fbcfe0fb689fff328129c1088cca","target":"graph","created_at":"2026-07-05T06:14:11Z","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/2305.16334/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In most current research, large language models (LLMs) are able to perform reasoning tasks by generating chains of thought through the guidance of specific prompts. However, there still exists a significant discrepancy between their capability in solving complex reasoning problems and that of humans. At present, most approaches focus on chains of thought (COT) and tool use, without considering the adoption and application of human cognitive frameworks. It is well-known that when confronting complex reasoning challenges, humans typically employ various cognitive abilities, and necessitate inter","authors_text":"Beibei Kong, Bo Hu, Chenglin Li, Chengxiang Zhuo, Lei Chen, Mingxiong Lin, Tao Xie, WenTao Wei, Yuanzhen Xie, Zang Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-23T09:36:51Z","title":"OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.16334","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":"sha256:998cf2bdcb90f7e871078d3f9cf4c5739c825f34e559ec3c00cdb0ffb17371a4","target":"record","created_at":"2026-07-05T06:14:11Z","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":"39535ea011192d43b79ef939aeaae3a9113516e7bbc127c5bdf18461c5f53017","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-05-23T09:36:51Z","title_canon_sha256":"cb7e19fe6f6e96158cd340c14e4a6abc68c6e90a9a8dfb3167ab8a5bf040ad3e"},"schema_version":"1.0","source":{"id":"2305.16334","kind":"arxiv","version":1}},"canonical_sha256":"b22e3994f7c67c398ff16a735a3544b3650265fd92479f31e543d10531c1e83c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b22e3994f7c67c398ff16a735a3544b3650265fd92479f31e543d10531c1e83c","first_computed_at":"2026-07-05T06:14:11.924244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:11.924244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uGkNLy45TbeXJ5kw23Pin9iy9JReZFzGfOK2kMqZdrXNtI3gQvfASHNMOQEJqoPYKHtJKYWwaWGVaplqNocgDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:11.924698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.16334","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:998cf2bdcb90f7e871078d3f9cf4c5739c825f34e559ec3c00cdb0ffb17371a4","sha256:747f12d8c1adac8ed115f6a5222bde4fe167fbcfe0fb689fff328129c1088cca"],"state_sha256":"5e9065eba904f2a847d05658a0602a8e84de371cef2bef56f92c06f0908f92e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sKgNCQtMrHs7bsYOsqQOszPBWDGL/ZIBjyr8R2WQcVbQnvEbQHHVKuVKPn1yTGR3G2sxDPhqwuOs5HlasuXBDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:21:46.741267Z","bundle_sha256":"8a36c707a4e83d0ea9f5649d228b57a9c2533b664b5c71d68ce6422b61bdc4f8"}}