{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NCLVCF46SQDPOUW65JTJ3JTZRN","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":"9050bff8afdc1dd5f270b6609530c93f65a2e635477556a6fb0154f64f8844f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-11T11:08:32Z","title_canon_sha256":"fd27c6e0f2c187893c16b46bd5e0dc069ef8c83ecb726061acae77822d819dbe"},"schema_version":"1.0","source":{"id":"2508.07849","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.07849","created_at":"2026-05-25T02:01:05Z"},{"alias_kind":"arxiv_version","alias_value":"2508.07849v2","created_at":"2026-05-25T02:01:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07849","created_at":"2026-05-25T02:01:05Z"},{"alias_kind":"pith_short_12","alias_value":"NCLVCF46SQDP","created_at":"2026-05-25T02:01:05Z"},{"alias_kind":"pith_short_16","alias_value":"NCLVCF46SQDPOUW6","created_at":"2026-05-25T02:01:05Z"},{"alias_kind":"pith_short_8","alias_value":"NCLVCF46","created_at":"2026-05-25T02:01:05Z"}],"graph_snapshots":[{"event_id":"sha256:cb1ce36fbc22cd0728cef4146212d6fe7c252d9f955ade70c3646511a721382a","target":"graph","created_at":"2026-05-25T02:01:05Z","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/2508.07849/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite advances in legal NLP, no comprehensive evaluation of Transformer-based models customized for legal tasks (referred to as `legal-specific' models in this paper) exists for contract classification tasks. To address this gap, we present an evaluation of 13 legal-specific transformer-based models on 3 English-language contract classification tasks and compare them with 9 generalist models. The results show that legal-specific models consistently outperform generalist models, especially on tasks requiring nuanced legal understanding. They also help reduce misclassification of rare classes ","authors_text":"Aditya Joshi, Amrita Singh, H. Suhan Karaca, Hye-Young Paik, Jiaojiao Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-11T11:08:32Z","title":"Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07849","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":"sha256:37756725cffba6d3c51870d1c55098b5cbf04f18a4e6ee1f1ebde1603e2f90a2","target":"record","created_at":"2026-05-25T02:01:05Z","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":"9050bff8afdc1dd5f270b6609530c93f65a2e635477556a6fb0154f64f8844f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-11T11:08:32Z","title_canon_sha256":"fd27c6e0f2c187893c16b46bd5e0dc069ef8c83ecb726061acae77822d819dbe"},"schema_version":"1.0","source":{"id":"2508.07849","kind":"arxiv","version":2}},"canonical_sha256":"689751179e9406f752deea669da6798b7ae12e0b2af48bfdf94d288306aa37c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"689751179e9406f752deea669da6798b7ae12e0b2af48bfdf94d288306aa37c0","first_computed_at":"2026-05-25T02:01:05.944500Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:05.944500Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ggRBaMLfDFv6GOTWcMvEOcYwMDgUCW+GLp6/qCo1UO1WyGbOdhiBahPJsBBNqo2129NA91aJ9MDZFyM2QO27DA==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:05.945356Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.07849","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37756725cffba6d3c51870d1c55098b5cbf04f18a4e6ee1f1ebde1603e2f90a2","sha256:cb1ce36fbc22cd0728cef4146212d6fe7c252d9f955ade70c3646511a721382a"],"state_sha256":"4837ef19d3a113764829c941db70544a8603d3a928cfe4c5b56db85e9fcaee8f"}