{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S4P2JCA3UVKZVQYZCUK5BE4VKZ","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":"bf239b593956723f5bf6090ef8b235e55b03fdedbdb2ba7af5c33cacc06fd8ca","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-27T18:04:02Z","title_canon_sha256":"9a80df598fbfb1367f9ede3453d4fe13a3df020eaf7ecb72db101501a7feb472"},"schema_version":"1.0","source":{"id":"2505.00029","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00029","created_at":"2026-07-05T10:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00029v1","created_at":"2026-07-05T10:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00029","created_at":"2026-07-05T10:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"S4P2JCA3UVKZ","created_at":"2026-07-05T10:56:40Z"},{"alias_kind":"pith_short_16","alias_value":"S4P2JCA3UVKZVQYZ","created_at":"2026-07-05T10:56:40Z"},{"alias_kind":"pith_short_8","alias_value":"S4P2JCA3","created_at":"2026-07-05T10:56:40Z"}],"graph_snapshots":[{"event_id":"sha256:63a98255a2c57d9687701735da69f64487741b7d3c3c0385a7a0eac40fa32bb3","target":"graph","created_at":"2026-07-05T10:56:40Z","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/2505.00029/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Vision Language Models have demonstrated impressive versatile capabilities through extensive multimodal pre-training, but face significant limitations when incorporating specialized knowledge domains beyond their training distribution. These models struggle with a fundamental dilemma: direct adaptation approaches that inject domain-specific knowledge often trigger catastrophic forgetting of foundational visual-linguistic abilities. We introduce Structured Dialogue Fine-Tuning (SDFT), an effective approach that effectively injects domain-specific knowledge while minimizing catastrophic fo","authors_text":"Depeng Wang, Huijia Zhu, Lingyong Fang, Sufeng Duan, Weiqiang Wang, Xiaofei Yin, Xinzhong Wang, Ya Guo, Yijie Hong, Yi Tu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-27T18:04:02Z","title":"Keep the General, Inject the Specific: Structured Dialogue Fine-Tuning for Knowledge Injection without Catastrophic Forgetting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00029","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:bfff854402fffd8664bc74be958676aeee03c13dcd483fc82f15fff64d06831c","target":"record","created_at":"2026-07-05T10:56:40Z","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":"bf239b593956723f5bf6090ef8b235e55b03fdedbdb2ba7af5c33cacc06fd8ca","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-04-27T18:04:02Z","title_canon_sha256":"9a80df598fbfb1367f9ede3453d4fe13a3df020eaf7ecb72db101501a7feb472"},"schema_version":"1.0","source":{"id":"2505.00029","kind":"arxiv","version":1}},"canonical_sha256":"971fa4881ba5559ac3191515d0939556435eba3009e789424271d2c19c23d882","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"971fa4881ba5559ac3191515d0939556435eba3009e789424271d2c19c23d882","first_computed_at":"2026-07-05T10:56:40.691367Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:56:40.691367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LYlXfyh+sBQSv7+4qj4Q/SRpKTdFFzLfOdcuW+y+MfTh7NTnUzZVnGRzflK3A1+6kelSg90Xpq79XmH23f4lDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:56:40.691865Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00029","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bfff854402fffd8664bc74be958676aeee03c13dcd483fc82f15fff64d06831c","sha256:63a98255a2c57d9687701735da69f64487741b7d3c3c0385a7a0eac40fa32bb3"],"state_sha256":"ed0e593e60cf05d66233d104cefa2e31f3e50195556826e864c63041f4ed4342"}