{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2RAZIT43NKWFGZKN6YA5AIEMGE","short_pith_number":"pith:2RAZIT43","canonical_record":{"source":{"id":"2506.00780","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-01T02:15:17Z","cross_cats_sorted":[],"title_canon_sha256":"bf9790b1ce911cf2e4ed462b8c2b3ab8f155f1060aac4c0340e87e5329516e22","abstract_canon_sha256":"0c77fa2210caf10218809018d320960681b6331259622ac865f83f80100caf43"},"schema_version":"1.0"},"canonical_sha256":"d441944f9b6aac53654df601d0208c3129bd5aba276725e42b3bc5aca367b3a7","source":{"kind":"arxiv","id":"2506.00780","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00780","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00780v1","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00780","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"pith_short_12","alias_value":"2RAZIT43NKWF","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"pith_short_16","alias_value":"2RAZIT43NKWFGZKN","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"pith_short_8","alias_value":"2RAZIT43","created_at":"2026-07-05T11:13:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2RAZIT43NKWFGZKN6YA5AIEMGE","target":"record","payload":{"canonical_record":{"source":{"id":"2506.00780","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-01T02:15:17Z","cross_cats_sorted":[],"title_canon_sha256":"bf9790b1ce911cf2e4ed462b8c2b3ab8f155f1060aac4c0340e87e5329516e22","abstract_canon_sha256":"0c77fa2210caf10218809018d320960681b6331259622ac865f83f80100caf43"},"schema_version":"1.0"},"canonical_sha256":"d441944f9b6aac53654df601d0208c3129bd5aba276725e42b3bc5aca367b3a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:40.316510Z","signature_b64":"vfe853ydhIJcRhsHCVgIfwmbcY2C+FgCAKlPvznfavxzNRsZvsOLFY6IVlV+ZKm2f0y4VW0JCNWAN+iflxEoCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d441944f9b6aac53654df601d0208c3129bd5aba276725e42b3bc5aca367b3a7","last_reissued_at":"2026-07-05T11:13:40.316046Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:40.316046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.00780","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:13:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NpXSFEQCKhaCn8839fky8qcjqfdP3wz2Rj+qoH3GzjM6n8mJolFpRH61w2Mqr8KhdFyuaVUEKTd4M2WahV+2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:45:39.886070Z"},"content_sha256":"588d5f8dd0ca721daaf62ce85e2e6401fbef37b7154ee89ea62522747ad71494","schema_version":"1.0","event_id":"sha256:588d5f8dd0ca721daaf62ce85e2e6401fbef37b7154ee89ea62522747ad71494"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2RAZIT43NKWFGZKN6YA5AIEMGE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do not Abstain! Identify and Solve the Uncertainty","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bo Zheng, Jingquan Peng, Jingyu Liu, Tiezheng Ge, Xiaopeng Wu, Xubin Li, Yong Liu","submitted_at":"2025-06-01T02:15:17Z","abstract_excerpt":"Despite the widespread application of Large Language Models (LLMs) across various domains, they frequently exhibit overconfidence when encountering uncertain scenarios, yet existing solutions primarily rely on evasive responses (e.g., \"I don't know\") overlooks the opportunity of identifying and addressing the uncertainty to generate more satisfactory responses. To systematically investigate and improve LLMs' ability of recognizing and addressing the source of uncertainty, we introduce \\textbf{ConfuseBench}, a benchmark mainly focus on three types of uncertainty: document scarcity, limited capa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00780","kind":"arxiv","version":1},"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/2506.00780/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":"2026-07-05T11:13:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s01R+OLVPhdGNyCU+P0TsSdO10UdJ94/2KOy6g2P0tGqUT/XBmtOQjmkuPDfMxGNk0bf9E41KKtw/MPt9Y5NCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:45:39.886981Z"},"content_sha256":"65face2f3a583d18137b286db212cc46d70a6e5cf1413a97f8a778201e603269","schema_version":"1.0","event_id":"sha256:65face2f3a583d18137b286db212cc46d70a6e5cf1413a97f8a778201e603269"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2RAZIT43NKWFGZKN6YA5AIEMGE/bundle.json","state_url":"https://pith.science/pith/2RAZIT43NKWFGZKN6YA5AIEMGE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2RAZIT43NKWFGZKN6YA5AIEMGE/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":"2026-08-08T07:45:39Z","links":{"resolver":"https://pith.science/pith/2RAZIT43NKWFGZKN6YA5AIEMGE","bundle":"https://pith.science/pith/2RAZIT43NKWFGZKN6YA5AIEMGE/bundle.json","state":"https://pith.science/pith/2RAZIT43NKWFGZKN6YA5AIEMGE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2RAZIT43NKWFGZKN6YA5AIEMGE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2RAZIT43NKWFGZKN6YA5AIEMGE","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":"0c77fa2210caf10218809018d320960681b6331259622ac865f83f80100caf43","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-01T02:15:17Z","title_canon_sha256":"bf9790b1ce911cf2e4ed462b8c2b3ab8f155f1060aac4c0340e87e5329516e22"},"schema_version":"1.0","source":{"id":"2506.00780","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00780","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00780v1","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00780","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"pith_short_12","alias_value":"2RAZIT43NKWF","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"pith_short_16","alias_value":"2RAZIT43NKWFGZKN","created_at":"2026-07-05T11:13:40Z"},{"alias_kind":"pith_short_8","alias_value":"2RAZIT43","created_at":"2026-07-05T11:13:40Z"}],"graph_snapshots":[{"event_id":"sha256:65face2f3a583d18137b286db212cc46d70a6e5cf1413a97f8a778201e603269","target":"graph","created_at":"2026-07-05T11:13:40Z","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/2506.00780/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the widespread application of Large Language Models (LLMs) across various domains, they frequently exhibit overconfidence when encountering uncertain scenarios, yet existing solutions primarily rely on evasive responses (e.g., \"I don't know\") overlooks the opportunity of identifying and addressing the uncertainty to generate more satisfactory responses. To systematically investigate and improve LLMs' ability of recognizing and addressing the source of uncertainty, we introduce \\textbf{ConfuseBench}, a benchmark mainly focus on three types of uncertainty: document scarcity, limited capa","authors_text":"Bo Zheng, Jingquan Peng, Jingyu Liu, Tiezheng Ge, Xiaopeng Wu, Xubin Li, Yong Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-01T02:15:17Z","title":"Do not Abstain! Identify and Solve the Uncertainty"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00780","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":"sha256:588d5f8dd0ca721daaf62ce85e2e6401fbef37b7154ee89ea62522747ad71494","target":"record","created_at":"2026-07-05T11:13:40Z","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":"0c77fa2210caf10218809018d320960681b6331259622ac865f83f80100caf43","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-01T02:15:17Z","title_canon_sha256":"bf9790b1ce911cf2e4ed462b8c2b3ab8f155f1060aac4c0340e87e5329516e22"},"schema_version":"1.0","source":{"id":"2506.00780","kind":"arxiv","version":1}},"canonical_sha256":"d441944f9b6aac53654df601d0208c3129bd5aba276725e42b3bc5aca367b3a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d441944f9b6aac53654df601d0208c3129bd5aba276725e42b3bc5aca367b3a7","first_computed_at":"2026-07-05T11:13:40.316046Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:40.316046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vfe853ydhIJcRhsHCVgIfwmbcY2C+FgCAKlPvznfavxzNRsZvsOLFY6IVlV+ZKm2f0y4VW0JCNWAN+iflxEoCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:40.316510Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00780","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:588d5f8dd0ca721daaf62ce85e2e6401fbef37b7154ee89ea62522747ad71494","sha256:65face2f3a583d18137b286db212cc46d70a6e5cf1413a97f8a778201e603269"],"state_sha256":"ba78da1a508e159139ab884faac2e0a07b35658cd85ad05b687b761cb1b1800a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UQSIRkQrSiZNgSIhDNyxAh9KeZedq2RnynaT8i8mvJFJyRObJjBbgsVQRppzl3PuYG8ysk8lftH7nigHgsDaBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:45:39.892248Z","bundle_sha256":"8d4bfb0560021c2f5a01542e2daa48f82908628c8ded186e75546873f572acd0"}}