{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RXGFDHZJO4AYTFY7FKBJBR2FGC","short_pith_number":"pith:RXGFDHZJ","canonical_record":{"source":{"id":"2502.08127","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T05:13:04Z","cross_cats_sorted":[],"title_canon_sha256":"4f06bb0886af7f4f74f1447e8b9194a7a18f45877d744a0f1a6b96f8ba58c0af","abstract_canon_sha256":"f0ff0c3183893f78cf557da1d3597a0d0845aa38f82fee98c1271bf76c9992dd"},"schema_version":"1.0"},"canonical_sha256":"8dcc519f29770189971f2a8290c74530926280f41ff1c42a100e4ddb199650ce","source":{"kind":"arxiv","id":"2502.08127","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.08127","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"arxiv_version","alias_value":"2502.08127v3","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08127","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"pith_short_12","alias_value":"RXGFDHZJO4AY","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"pith_short_16","alias_value":"RXGFDHZJO4AYTFY7","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"pith_short_8","alias_value":"RXGFDHZJ","created_at":"2026-07-05T11:21:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RXGFDHZJO4AYTFY7FKBJBR2FGC","target":"record","payload":{"canonical_record":{"source":{"id":"2502.08127","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T05:13:04Z","cross_cats_sorted":[],"title_canon_sha256":"4f06bb0886af7f4f74f1447e8b9194a7a18f45877d744a0f1a6b96f8ba58c0af","abstract_canon_sha256":"f0ff0c3183893f78cf557da1d3597a0d0845aa38f82fee98c1271bf76c9992dd"},"schema_version":"1.0"},"canonical_sha256":"8dcc519f29770189971f2a8290c74530926280f41ff1c42a100e4ddb199650ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:42.148058Z","signature_b64":"MnS5axPAcXgY6dRLmy5WcNlKPAEP8Yic4usgKIrC1DDd9FCpq1+NNFN1/WMSxyYqlFBvBvkFKWvOI33E31+tBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8dcc519f29770189971f2a8290c74530926280f41ff1c42a100e4ddb199650ce","last_reissued_at":"2026-07-05T11:21:42.147508Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:42.147508Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.08127","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:21:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lmi/Oh/OrqdqmKswq6j8HJ31hO3uFE3WiXg3lo0oqfKwQBk+LDeWayMBW0paACqnxexKOqKWZ/ZlwctDxWlnBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:28:32.308394Z"},"content_sha256":"d9f65629326ea2e3b253e034ef0552d88500abf4d55fa303d64be62489f90560","schema_version":"1.0","event_id":"sha256:d9f65629326ea2e3b253e034ef0552d88500abf4d55fa303d64be62489f90560"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RXGFDHZJO4AYTFY7FKBJBR2FGC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Han Yi, Jian-Yun Nie, Jimin Huang, Lingfei Qian, Qianqian Xie, Weipeng Zhou, Xueqing Peng, Yan Wang, Yilun Zhao","submitted_at":"2025-02-12T05:13:04Z","abstract_excerpt":"As the fundamental capability behind decision-making in finance, financial reasoning poses distinct challenges for LLMs. Although reinforcement learning (RL) have boosted generic reasoning, the progress in finance is hindered by the absence of empirical study of building effective financial chain-of-thought (CoT) corpus, a systematic comparison of different RL methods, and comprehensive benchmarks. To address these gaps, we introduce FinCoT, the first open high-fidelity CoT corpus for finance, distilled from seven QA datasets by a novel three-stage pipeline that incorporates domain supervision"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08127","kind":"arxiv","version":3},"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/2502.08127/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":"2026-07-05T11:21:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cp0MORVn69Gqn4JvbWO+qkltQyntBrKbZXAqJqaIksgVxuEVRIwLFyh4CWBGfoeOtUOzQvl8Wcs7/NiaGlPMCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:28:32.308891Z"},"content_sha256":"59b43fd896a872ea760c18bac4c7f8d9f567b5facf75ba9830fa384b7c72589f","schema_version":"1.0","event_id":"sha256:59b43fd896a872ea760c18bac4c7f8d9f567b5facf75ba9830fa384b7c72589f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RXGFDHZJO4AYTFY7FKBJBR2FGC/bundle.json","state_url":"https://pith.science/pith/RXGFDHZJO4AYTFY7FKBJBR2FGC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RXGFDHZJO4AYTFY7FKBJBR2FGC/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":"2026-08-08T04:28:32Z","links":{"resolver":"https://pith.science/pith/RXGFDHZJO4AYTFY7FKBJBR2FGC","bundle":"https://pith.science/pith/RXGFDHZJO4AYTFY7FKBJBR2FGC/bundle.json","state":"https://pith.science/pith/RXGFDHZJO4AYTFY7FKBJBR2FGC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RXGFDHZJO4AYTFY7FKBJBR2FGC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RXGFDHZJO4AYTFY7FKBJBR2FGC","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":"f0ff0c3183893f78cf557da1d3597a0d0845aa38f82fee98c1271bf76c9992dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T05:13:04Z","title_canon_sha256":"4f06bb0886af7f4f74f1447e8b9194a7a18f45877d744a0f1a6b96f8ba58c0af"},"schema_version":"1.0","source":{"id":"2502.08127","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.08127","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"arxiv_version","alias_value":"2502.08127v3","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08127","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"pith_short_12","alias_value":"RXGFDHZJO4AY","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"pith_short_16","alias_value":"RXGFDHZJO4AYTFY7","created_at":"2026-07-05T11:21:42Z"},{"alias_kind":"pith_short_8","alias_value":"RXGFDHZJ","created_at":"2026-07-05T11:21:42Z"}],"graph_snapshots":[{"event_id":"sha256:59b43fd896a872ea760c18bac4c7f8d9f567b5facf75ba9830fa384b7c72589f","target":"graph","created_at":"2026-07-05T11:21:42Z","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/2502.08127/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the fundamental capability behind decision-making in finance, financial reasoning poses distinct challenges for LLMs. Although reinforcement learning (RL) have boosted generic reasoning, the progress in finance is hindered by the absence of empirical study of building effective financial chain-of-thought (CoT) corpus, a systematic comparison of different RL methods, and comprehensive benchmarks. To address these gaps, we introduce FinCoT, the first open high-fidelity CoT corpus for finance, distilled from seven QA datasets by a novel three-stage pipeline that incorporates domain supervision","authors_text":"Han Yi, Jian-Yun Nie, Jimin Huang, Lingfei Qian, Qianqian Xie, Weipeng Zhou, Xueqing Peng, Yan Wang, Yilun Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T05:13:04Z","title":"Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08127","kind":"arxiv","version":3},"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:d9f65629326ea2e3b253e034ef0552d88500abf4d55fa303d64be62489f90560","target":"record","created_at":"2026-07-05T11:21:42Z","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":"f0ff0c3183893f78cf557da1d3597a0d0845aa38f82fee98c1271bf76c9992dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-02-12T05:13:04Z","title_canon_sha256":"4f06bb0886af7f4f74f1447e8b9194a7a18f45877d744a0f1a6b96f8ba58c0af"},"schema_version":"1.0","source":{"id":"2502.08127","kind":"arxiv","version":3}},"canonical_sha256":"8dcc519f29770189971f2a8290c74530926280f41ff1c42a100e4ddb199650ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8dcc519f29770189971f2a8290c74530926280f41ff1c42a100e4ddb199650ce","first_computed_at":"2026-07-05T11:21:42.147508Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:21:42.147508Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MnS5axPAcXgY6dRLmy5WcNlKPAEP8Yic4usgKIrC1DDd9FCpq1+NNFN1/WMSxyYqlFBvBvkFKWvOI33E31+tBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:21:42.148058Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.08127","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d9f65629326ea2e3b253e034ef0552d88500abf4d55fa303d64be62489f90560","sha256:59b43fd896a872ea760c18bac4c7f8d9f567b5facf75ba9830fa384b7c72589f"],"state_sha256":"1c171b7b4a7bc56c4853364ded8470ae8bb7d00b10c0c836cafe92f4d119d1f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fwcywAHsHYUD1ztRNnHmBQwOaw7UaMMysi8Lo259oDliRKETcu64wYr98P5GeXmmIxVZN5sxkWjt6sh3KSmOAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T04:28:32.313249Z","bundle_sha256":"2440980ca78abb19a1308619b65722ad1d93a055895d01d937c82a949bbdfe43"}}