{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DU4WN2XHMNZV6ROKUBJRTBE2RE","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":"a71ec5c890dd8390f4e3b9988cedb72afb2154564b654d8e0a906a1ee455e700","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-08T21:26:57Z","title_canon_sha256":"a876fefcfae6ffaf8c4c2e31822b741e413cc60558c0923a69a424c09807d71c"},"schema_version":"1.0","source":{"id":"2411.05980","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.05980","created_at":"2026-07-05T11:13:15Z"},{"alias_kind":"arxiv_version","alias_value":"2411.05980v3","created_at":"2026-07-05T11:13:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.05980","created_at":"2026-07-05T11:13:15Z"},{"alias_kind":"pith_short_12","alias_value":"DU4WN2XHMNZV","created_at":"2026-07-05T11:13:15Z"},{"alias_kind":"pith_short_16","alias_value":"DU4WN2XHMNZV6ROK","created_at":"2026-07-05T11:13:15Z"},{"alias_kind":"pith_short_8","alias_value":"DU4WN2XH","created_at":"2026-07-05T11:13:15Z"}],"graph_snapshots":[{"event_id":"sha256:4d0f4c0bd86a51e9bbadcb3f961c68cfe97753bac1d54a8bf9c7217452823f3a","target":"graph","created_at":"2026-07-05T11:13:15Z","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/2411.05980/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown impressive capability in language generation and understanding, but their tendency to hallucinate and produce factually incorrect information remains a key limitation. To verify LLM-generated contents and claims from other sources, traditional verification approaches often rely on holistic models that assign a single factuality label to complex claims, potentially obscuring nuanced errors. In this paper, we advocate for a shift towards fine-grained verification, where complex claims are broken down into smaller sub-claims for individual verification, all","authors_text":"Dan Zhang, Estevam Hruschka, Kushan Mitra, Sajjadur Rahman","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-08T21:26:57Z","title":"FactLens: Benchmarking Fine-Grained Fact Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.05980","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":"sha256:0e1cfb62c88fbcad38082a7a1a8e72506d62daefc93fa3fa3b3a7473fc7de220","target":"record","created_at":"2026-07-05T11:13:15Z","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":"a71ec5c890dd8390f4e3b9988cedb72afb2154564b654d8e0a906a1ee455e700","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-11-08T21:26:57Z","title_canon_sha256":"a876fefcfae6ffaf8c4c2e31822b741e413cc60558c0923a69a424c09807d71c"},"schema_version":"1.0","source":{"id":"2411.05980","kind":"arxiv","version":3}},"canonical_sha256":"1d3966eae763735f45caa05319849a891ada092b9debb811f063084f3b0451b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d3966eae763735f45caa05319849a891ada092b9debb811f063084f3b0451b8","first_computed_at":"2026-07-05T11:13:15.621592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:15.621592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BCQgI00QZbSgMT8F0GsWAHeeAIXfJcLBGwjEM+39TBIqlMlGqjkjj5BsQP11NA6DiXXEnC5eH2KhxCCpr5WnDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:15.622174Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.05980","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e1cfb62c88fbcad38082a7a1a8e72506d62daefc93fa3fa3b3a7473fc7de220","sha256:4d0f4c0bd86a51e9bbadcb3f961c68cfe97753bac1d54a8bf9c7217452823f3a"],"state_sha256":"30cbaf95c1e4a57b0caa8a381aee396aeaaf9b10e8216278b2b95b50d99f4137"}