{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3VKYMRSTB2ARVCPQDDN6F2U3HH","short_pith_number":"pith:3VKYMRST","canonical_record":{"source":{"id":"2402.03190","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-05T16:56:11Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG","cs.MM"],"title_canon_sha256":"df7f5b37bd301e2070ae791fe690fd5c5b8409ddd59d742f85bf496eca172bad","abstract_canon_sha256":"677f40e8e13f8857bc2aea773e0c0c07710f001164303210eaf2c0b083a49295"},"schema_version":"1.0"},"canonical_sha256":"dd558646530e811a89f018dbe2ea9b39d7527549c437395a80617ecf222ce7c7","source":{"kind":"arxiv","id":"2402.03190","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.03190","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"arxiv_version","alias_value":"2402.03190v4","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.03190","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"pith_short_12","alias_value":"3VKYMRSTB2AR","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"pith_short_16","alias_value":"3VKYMRSTB2ARVCPQ","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"pith_short_8","alias_value":"3VKYMRST","created_at":"2026-07-05T08:23:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3VKYMRSTB2ARVCPQDDN6F2U3HH","target":"record","payload":{"canonical_record":{"source":{"id":"2402.03190","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-05T16:56:11Z","cross_cats_sorted":["cs.AI","cs.IR","cs.LG","cs.MM"],"title_canon_sha256":"df7f5b37bd301e2070ae791fe690fd5c5b8409ddd59d742f85bf496eca172bad","abstract_canon_sha256":"677f40e8e13f8857bc2aea773e0c0c07710f001164303210eaf2c0b083a49295"},"schema_version":"1.0"},"canonical_sha256":"dd558646530e811a89f018dbe2ea9b39d7527549c437395a80617ecf222ce7c7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:16.966754Z","signature_b64":"///+z78pEx4UwvqUwFOrL0gbGgUFfaY/PYn+f2NlIFfmd8fkc2wp8ggbjpuaP2lDOfSQG0KonmUy7ZL6s+SwAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd558646530e811a89f018dbe2ea9b39d7527549c437395a80617ecf222ce7c7","last_reissued_at":"2026-07-05T08:23:16.966263Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:16.966263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.03190","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:23:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nSXr5MyVm/51Go5+41e5I0vNarbxmp/7T0HzMn+zzh9UBiRsNevzygcD8FzUhg3YZiYfyZBiw6LD8pOwV2lrCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:37:42.764304Z"},"content_sha256":"7069ead2b47563ab088ba3038b124f1d5eb91c8371da98a2f2827e4cf19487bd","schema_version":"1.0","event_id":"sha256:7069ead2b47563ab088ba3038b124f1d5eb91c8371da98a2f2827e4cf19487bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3VKYMRSTB2ARVCPQDDN6F2U3HH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unified Hallucination Detection for Multimodal Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR","cs.LG","cs.MM"],"primary_cat":"cs.CL","authors_text":"Chenxi Wang, Huajun Chen, Jinjie Gu, Lei Liang, Ningyu Zhang, Qiang Li, Xiang Chen, Xiaoyan Yang, Yida Xue, Yue Shen","submitted_at":"2024-02-05T16:56:11Z","abstract_excerpt":"Despite significant strides in multimodal tasks, Multimodal Large Language Models (MLLMs) are plagued by the critical issue of hallucination. The reliable detection of such hallucinations in MLLMs has, therefore, become a vital aspect of model evaluation and the safeguarding of practical application deployment. Prior research in this domain has been constrained by a narrow focus on singular tasks, an inadequate range of hallucination categories addressed, and a lack of detailed granularity. In response to these challenges, our work expands the investigative horizons of hallucination detection."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.03190","kind":"arxiv","version":4},"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/2402.03190/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":"2026-07-05T08:23:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TG5nDYfz1v5ORSLUico5DGLycL2619868Q/AWTXF9EwykjEexBcPka/5foNJSErCOhxuP3uagRk4V4fdRpYwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T01:37:42.764859Z"},"content_sha256":"afa2c1cdb289bdc9c2e0d006e33a7321122813b5048b63f75c9703ae318879b7","schema_version":"1.0","event_id":"sha256:afa2c1cdb289bdc9c2e0d006e33a7321122813b5048b63f75c9703ae318879b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3VKYMRSTB2ARVCPQDDN6F2U3HH/bundle.json","state_url":"https://pith.science/pith/3VKYMRSTB2ARVCPQDDN6F2U3HH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3VKYMRSTB2ARVCPQDDN6F2U3HH/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":"2026-08-09T01:37:42Z","links":{"resolver":"https://pith.science/pith/3VKYMRSTB2ARVCPQDDN6F2U3HH","bundle":"https://pith.science/pith/3VKYMRSTB2ARVCPQDDN6F2U3HH/bundle.json","state":"https://pith.science/pith/3VKYMRSTB2ARVCPQDDN6F2U3HH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3VKYMRSTB2ARVCPQDDN6F2U3HH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3VKYMRSTB2ARVCPQDDN6F2U3HH","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":"677f40e8e13f8857bc2aea773e0c0c07710f001164303210eaf2c0b083a49295","cross_cats_sorted":["cs.AI","cs.IR","cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-05T16:56:11Z","title_canon_sha256":"df7f5b37bd301e2070ae791fe690fd5c5b8409ddd59d742f85bf496eca172bad"},"schema_version":"1.0","source":{"id":"2402.03190","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.03190","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"arxiv_version","alias_value":"2402.03190v4","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.03190","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"pith_short_12","alias_value":"3VKYMRSTB2AR","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"pith_short_16","alias_value":"3VKYMRSTB2ARVCPQ","created_at":"2026-07-05T08:23:16Z"},{"alias_kind":"pith_short_8","alias_value":"3VKYMRST","created_at":"2026-07-05T08:23:16Z"}],"graph_snapshots":[{"event_id":"sha256:afa2c1cdb289bdc9c2e0d006e33a7321122813b5048b63f75c9703ae318879b7","target":"graph","created_at":"2026-07-05T08:23:16Z","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/2402.03190/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite significant strides in multimodal tasks, Multimodal Large Language Models (MLLMs) are plagued by the critical issue of hallucination. The reliable detection of such hallucinations in MLLMs has, therefore, become a vital aspect of model evaluation and the safeguarding of practical application deployment. Prior research in this domain has been constrained by a narrow focus on singular tasks, an inadequate range of hallucination categories addressed, and a lack of detailed granularity. In response to these challenges, our work expands the investigative horizons of hallucination detection.","authors_text":"Chenxi Wang, Huajun Chen, Jinjie Gu, Lei Liang, Ningyu Zhang, Qiang Li, Xiang Chen, Xiaoyan Yang, Yida Xue, Yue Shen","cross_cats":["cs.AI","cs.IR","cs.LG","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-05T16:56:11Z","title":"Unified Hallucination Detection for Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.03190","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":"sha256:7069ead2b47563ab088ba3038b124f1d5eb91c8371da98a2f2827e4cf19487bd","target":"record","created_at":"2026-07-05T08:23:16Z","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":"677f40e8e13f8857bc2aea773e0c0c07710f001164303210eaf2c0b083a49295","cross_cats_sorted":["cs.AI","cs.IR","cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-05T16:56:11Z","title_canon_sha256":"df7f5b37bd301e2070ae791fe690fd5c5b8409ddd59d742f85bf496eca172bad"},"schema_version":"1.0","source":{"id":"2402.03190","kind":"arxiv","version":4}},"canonical_sha256":"dd558646530e811a89f018dbe2ea9b39d7527549c437395a80617ecf222ce7c7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd558646530e811a89f018dbe2ea9b39d7527549c437395a80617ecf222ce7c7","first_computed_at":"2026-07-05T08:23:16.966263Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:16.966263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"///+z78pEx4UwvqUwFOrL0gbGgUFfaY/PYn+f2NlIFfmd8fkc2wp8ggbjpuaP2lDOfSQG0KonmUy7ZL6s+SwAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:16.966754Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.03190","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7069ead2b47563ab088ba3038b124f1d5eb91c8371da98a2f2827e4cf19487bd","sha256:afa2c1cdb289bdc9c2e0d006e33a7321122813b5048b63f75c9703ae318879b7"],"state_sha256":"3874ea6c34cf19e84250c86e55dd2d8412b946183dec161891b25b6dfe328616"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jue/FbKImeAKaw92VQX4FM1eEg2Wc9gg9Fc5KWSVq+DWbs1RzrdrLpcQ/wRcrS6EGWU8xiJaRXD5adX9/IeTDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T01:37:42.768794Z","bundle_sha256":"e8516d2c8c41c3448ee1e94b856a4d7024335b5f1ca80807e9e1803de4be6f35"}}