{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:N7AOOSFWJ3TZS2DLTHQJTJGP5H","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":"22218bc1346db979cd50707be92fc055b570a172b31d2452b8e643c4bd56cf2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T17:48:03Z","title_canon_sha256":"9217379a84643cc0bc48242caf5ad7b6efbbe8bd34981f445975ab2f266c71db"},"schema_version":"1.0","source":{"id":"2501.09695","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09695","created_at":"2026-07-05T10:22:55Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09695v2","created_at":"2026-07-05T10:22:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09695","created_at":"2026-07-05T10:22:55Z"},{"alias_kind":"pith_short_12","alias_value":"N7AOOSFWJ3TZ","created_at":"2026-07-05T10:22:55Z"},{"alias_kind":"pith_short_16","alias_value":"N7AOOSFWJ3TZS2DL","created_at":"2026-07-05T10:22:55Z"},{"alias_kind":"pith_short_8","alias_value":"N7AOOSFW","created_at":"2026-07-05T10:22:55Z"}],"graph_snapshots":[{"event_id":"sha256:d681f6f9f5b543ccc970fa4d02d6efffa68efeb31efec584b228f3a5595dcb0c","target":"graph","created_at":"2026-07-05T10:22:55Z","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/2501.09695/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hallucination remains a major challenge for Large Vision-Language Models (LVLMs). Direct Preference Optimization (DPO) has gained increasing attention as a simple solution to hallucination issues. It directly learns from constructed preference pairs that reflect the severity of hallucinations in responses to the same prompt and image. Nonetheless, different data construction methods in existing works bring notable performance variations. We identify a crucial factor here: outcomes are largely contingent on whether the constructed data aligns on-policy w.r.t the initial (reference) policy of DP","authors_text":"Dongqi Han, Dongsheng Li, Xufang Luo, Yunjian Xu, Zhihe Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T17:48:03Z","title":"Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09695","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:b12d475aa4b3c88e10fd958237521913a6ff3ced1591c1a5504c720ee16ff4a6","target":"record","created_at":"2026-07-05T10:22:55Z","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":"22218bc1346db979cd50707be92fc055b570a172b31d2452b8e643c4bd56cf2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T17:48:03Z","title_canon_sha256":"9217379a84643cc0bc48242caf5ad7b6efbbe8bd34981f445975ab2f266c71db"},"schema_version":"1.0","source":{"id":"2501.09695","kind":"arxiv","version":2}},"canonical_sha256":"6fc0e748b64ee799686b99e099a4cfe9c93ea8019e5e041a8cd0e1446cf6ec0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fc0e748b64ee799686b99e099a4cfe9c93ea8019e5e041a8cd0e1446cf6ec0a","first_computed_at":"2026-07-05T10:22:55.898129Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:55.898129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ipKRYau2cSlS88uUI0znCCXAgvztZVMzxEfob8Kcg9vBNZ3am2hKOluYYAxvFNnBh6m13PgJsTIilXcN8Vk0AA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:55.898707Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09695","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b12d475aa4b3c88e10fd958237521913a6ff3ced1591c1a5504c720ee16ff4a6","sha256:d681f6f9f5b543ccc970fa4d02d6efffa68efeb31efec584b228f3a5595dcb0c"],"state_sha256":"fbeadecaf52c66ca5904afdaef12f486c6e0721141205963eb0e41fb1cb3fe27"}