{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3TM7JFDOHWP4MPWCWRJBWRDV6L","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":"aee25cfcf4de58694c48902020899279204497ac18043c1f22f80568bb300ce1","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T02:03:41Z","title_canon_sha256":"abd05b15e9b67c158c9a275297e62f7298d80794268db4b0f94f79c44d770482"},"schema_version":"1.0","source":{"id":"2506.13038","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13038","created_at":"2026-07-05T11:22:42Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13038v2","created_at":"2026-07-05T11:22:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13038","created_at":"2026-07-05T11:22:42Z"},{"alias_kind":"pith_short_12","alias_value":"3TM7JFDOHWP4","created_at":"2026-07-05T11:22:42Z"},{"alias_kind":"pith_short_16","alias_value":"3TM7JFDOHWP4MPWC","created_at":"2026-07-05T11:22:42Z"},{"alias_kind":"pith_short_8","alias_value":"3TM7JFDO","created_at":"2026-07-05T11:22:42Z"}],"graph_snapshots":[{"event_id":"sha256:4689df6bc894968b49c5a460da3b14f62849a069d092e804ecc7e6a248dec6fb","target":"graph","created_at":"2026-07-05T11:22:42Z","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/2506.13038/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Driven by the rapid progress in vision-language models (VLMs), the responsible behavior of large-scale multimodal models has become a prominent research area, particularly focusing on hallucination detection and factuality checking. In this paper, we present the solution for the two tracks of Responsible AI challenge. Inspirations from the general domain demonstrate that a smaller distilled VLM can often outperform a larger VLM that is directly tuned on downstream tasks, while achieving higher efficiency. We thus jointly tackle two tasks from the perspective of knowledge distillation and propo","authors_text":"Chong Peng, Danlei Huang, Siyu Yan, Xuecheng Wu, Xuezhi Cao, Zijian Zhang","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T02:03:41Z","title":"HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13038","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:a4acd44dd4c18ed440712bd1b8013e20d2f1a611f7bedb44c99a94cf4a291601","target":"record","created_at":"2026-07-05T11:22:42Z","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":"aee25cfcf4de58694c48902020899279204497ac18043c1f22f80568bb300ce1","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T02:03:41Z","title_canon_sha256":"abd05b15e9b67c158c9a275297e62f7298d80794268db4b0f94f79c44d770482"},"schema_version":"1.0","source":{"id":"2506.13038","kind":"arxiv","version":2}},"canonical_sha256":"dcd9f4946e3d9fc63ec2b4521b4475f2e7945d0b92806f43390cd6f23527552f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dcd9f4946e3d9fc63ec2b4521b4475f2e7945d0b92806f43390cd6f23527552f","first_computed_at":"2026-07-05T11:22:42.349767Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:42.349767Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PDF+9bD0ofbj324HVY76DLgOcd3q3XFmJ6qwMYWOVs+zEsGDlKwSnQncZqgkqDa9PeTMqD5D2DwsDV5lzcpyDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:42.350333Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13038","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4acd44dd4c18ed440712bd1b8013e20d2f1a611f7bedb44c99a94cf4a291601","sha256:4689df6bc894968b49c5a460da3b14f62849a069d092e804ecc7e6a248dec6fb"],"state_sha256":"61104ed7e8d971788c88ececd60afed8daffb87c59f1307b75986393e1cb4c4b"}