{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WE7OSIKB2GDF47CR6O6A5LMCSV","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":"53a99770e483305a059e55bee843496832145f50db1c4a99854430efb87d9611","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T09:15:35Z","title_canon_sha256":"d90408cf036970be2152a88af77f4004a9efa84e1018b29240c1830cb269a6cb"},"schema_version":"1.0","source":{"id":"2410.14309","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14309","created_at":"2026-07-05T11:15:39Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14309v4","created_at":"2026-07-05T11:15:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14309","created_at":"2026-07-05T11:15:39Z"},{"alias_kind":"pith_short_12","alias_value":"WE7OSIKB2GDF","created_at":"2026-07-05T11:15:39Z"},{"alias_kind":"pith_short_16","alias_value":"WE7OSIKB2GDF47CR","created_at":"2026-07-05T11:15:39Z"},{"alias_kind":"pith_short_8","alias_value":"WE7OSIKB","created_at":"2026-07-05T11:15:39Z"}],"graph_snapshots":[{"event_id":"sha256:0a6d4315d0cb6ba937c26ff00c992b6c86e9ef5d01a9c78ff7578223aff1c0ff","target":"graph","created_at":"2026-07-05T11:15:39Z","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/2410.14309/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Large Language Models (LLMs) demonstrate impressive capabilities, they still struggle with generating factually incorrect content (i.e., hallucinations). A promising approach to mitigate this issue is enabling models to express uncertainty when unsure. Previous research on uncertainty modeling has primarily focused on short-form QA, but realworld applications often require much longer responses. In this work, we introduce the task of Long-form Generation with Uncertainty(LoGU). We identify two key challenges: Uncertainty Suppression, where models hesitate to express uncertainty, and Unce","authors_text":"Caiqi Zhang, Deqing Yang, Dong Yu, Nigel Collier, Ruihan Yang, Sen Yang, Xinting Huang, Zhisong Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T09:15:35Z","title":"LoGU: Long-form Generation with Uncertainty Expressions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14309","kind":"arxiv","version":4},"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":"sha256:869d75445f177a991ff5875e01a3428dc243d3a82bf4427bac734e1f945050d2","target":"record","created_at":"2026-07-05T11:15:39Z","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":"53a99770e483305a059e55bee843496832145f50db1c4a99854430efb87d9611","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-18T09:15:35Z","title_canon_sha256":"d90408cf036970be2152a88af77f4004a9efa84e1018b29240c1830cb269a6cb"},"schema_version":"1.0","source":{"id":"2410.14309","kind":"arxiv","version":4}},"canonical_sha256":"b13ee92141d1865e7c51f3bc0ead8295744622ae50eccf770003798f84867ec7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b13ee92141d1865e7c51f3bc0ead8295744622ae50eccf770003798f84867ec7","first_computed_at":"2026-07-05T11:15:39.961372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:39.961372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D8yTseA1UXJdTBH+6529ZVgwzN4FZmGFAg3XzE1tvduQYfJnt3TpglHXKxjOjvTXcRIjYWqqlevvlgAYIg5nDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:39.961868Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14309","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:869d75445f177a991ff5875e01a3428dc243d3a82bf4427bac734e1f945050d2","sha256:0a6d4315d0cb6ba937c26ff00c992b6c86e9ef5d01a9c78ff7578223aff1c0ff"],"state_sha256":"cd55314975d2b57a625933a16e269b71b1420dce702b447cbd58db4ef992b004"}