{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:32DIRQGGWLWBA2M2FV5J6F4WML","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":"ee90b48990b12b2b7c8952d37ed58c8195da756ef8c2be8a5bccb44d94b2b9a4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-06T20:02:08Z","title_canon_sha256":"35ea24461efa8ab2bab2782d84d331980912a30402adb26ee8721f6b85868b81"},"schema_version":"1.0","source":{"id":"2507.08015","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.08015","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.08015v1","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.08015","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_12","alias_value":"32DIRQGGWLWB","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_16","alias_value":"32DIRQGGWLWBA2M2","created_at":"2026-07-05T11:35:15Z"},{"alias_kind":"pith_short_8","alias_value":"32DIRQGG","created_at":"2026-07-05T11:35:15Z"}],"graph_snapshots":[{"event_id":"sha256:d498ee5d9dbc806ec7eca2fe3c1ddafa5eb6cf6d28e4659703318094de653e53","target":"graph","created_at":"2026-07-05T11:35:15Z","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/2507.08015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work evaluates FinGPT, a financial domain-specific language model, across six key natural language processing (NLP) tasks: Sentiment Analysis, Text Classification, Named Entity Recognition, Financial Question Answering, Text Summarization, and Stock Movement Prediction. The evaluation uses finance-specific datasets to assess FinGPT's capabilities and limitations in real-world financial applications. The results show that FinGPT performs strongly in classification tasks such as sentiment analysis and headline categorization, often achieving results comparable to GPT-4. However, its perform","authors_text":"Chimezie A. Odinakachukwu, Prudence Djagba","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-06T20:02:08Z","title":"Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.08015","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":"sha256:2e3d0dc89574886b556b83b93480d5ee9f084b3f7d168aa8a5e8fb663b1700cd","target":"record","created_at":"2026-07-05T11:35:15Z","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":"ee90b48990b12b2b7c8952d37ed58c8195da756ef8c2be8a5bccb44d94b2b9a4","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-07-06T20:02:08Z","title_canon_sha256":"35ea24461efa8ab2bab2782d84d331980912a30402adb26ee8721f6b85868b81"},"schema_version":"1.0","source":{"id":"2507.08015","kind":"arxiv","version":1}},"canonical_sha256":"de8688c0c6b2ec10699a2d7a9f179662fbe3d15b73fda101639f7dbc51bd3353","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de8688c0c6b2ec10699a2d7a9f179662fbe3d15b73fda101639f7dbc51bd3353","first_computed_at":"2026-07-05T11:35:15.699438Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:15.699438Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e4CWXVutdf+X/P6689dGc+A58MpEGddPZQfniUJT6tojMex7QwbOqGzjR7PZQ6XbqBrE8fsY62jTb8XJUFQNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:15.699990Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.08015","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e3d0dc89574886b556b83b93480d5ee9f084b3f7d168aa8a5e8fb663b1700cd","sha256:d498ee5d9dbc806ec7eca2fe3c1ddafa5eb6cf6d28e4659703318094de653e53"],"state_sha256":"d6ab3a9a376b2499d5f76344a8cbb1ab9f3c8426dd95f6d7d204b0372743e53f"}