{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EKFR44JNAV4LZABMVMDS72XZ7L","short_pith_number":"pith:EKFR44JN","canonical_record":{"source":{"id":"2506.18564","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-23T12:20:14Z","cross_cats_sorted":[],"title_canon_sha256":"7d575a333537156bbf66669cbd7687c0dfcee9a0f9c23e590f61bb63c97eef68","abstract_canon_sha256":"8959df5a9e8185dcb74451a5202f83f7c0c376c316d9f71acb19268d3cd5a97f"},"schema_version":"1.0"},"canonical_sha256":"228b1e712d0578bc802cab072feaf9fac010fa83b359d080543010aba953afca","source":{"kind":"arxiv","id":"2506.18564","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18564","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18564v1","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18564","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"pith_short_12","alias_value":"EKFR44JNAV4L","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"pith_short_16","alias_value":"EKFR44JNAV4LZABM","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"pith_short_8","alias_value":"EKFR44JN","created_at":"2026-07-05T11:25:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EKFR44JNAV4LZABMVMDS72XZ7L","target":"record","payload":{"canonical_record":{"source":{"id":"2506.18564","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-23T12:20:14Z","cross_cats_sorted":[],"title_canon_sha256":"7d575a333537156bbf66669cbd7687c0dfcee9a0f9c23e590f61bb63c97eef68","abstract_canon_sha256":"8959df5a9e8185dcb74451a5202f83f7c0c376c316d9f71acb19268d3cd5a97f"},"schema_version":"1.0"},"canonical_sha256":"228b1e712d0578bc802cab072feaf9fac010fa83b359d080543010aba953afca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:52.164637Z","signature_b64":"O9bftxRVPZQsP0AhGz7lsn+nW0QSR3WLDovEjHNzE1TlNHuRAIBITUsTAuzEJ/2vJ91ekHoyksVsXr6lyE+yBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"228b1e712d0578bc802cab072feaf9fac010fa83b359d080543010aba953afca","last_reissued_at":"2026-07-05T11:25:52.164234Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:52.164234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.18564","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":"2026-07-05T11:25:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0hdtvR7ID9b7B6qVWzeLKQ47te6aCmvp1NwI2rGTSKQpfrknRqBTkMPiqTLVBHrYbWHYd2aXFzQgoUFe3VitCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T07:07:06.607506Z"},"content_sha256":"b513700860b9310580800c6b22666c643e69c842e3d20739df9c64830fce8edd","schema_version":"1.0","event_id":"sha256:b513700860b9310580800c6b22666c643e69c842e3d20739df9c64830fce8edd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EKFR44JNAV4LZABMVMDS72XZ7L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jian Zhang, Junlin Li, Li Zhang, Shijie Zhao, Weiqi Li, Xuanyu Zhang","submitted_at":"2025-06-23T12:20:14Z","abstract_excerpt":"Recent advances in AI-generated content (AIGC) have led to the emergence of powerful text-to-video generation models. Despite these successes, evaluating the quality of AIGC-generated videos remains challenging due to limited generalization, lack of temporal awareness, heavy reliance on large-scale annotated datasets, and the lack of effective interaction with generation models. Most current approaches rely on supervised finetuning of vision-language models (VLMs), which often require large-scale annotated datasets and tend to decouple understanding and generation. To address these shortcoming"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18564","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/2506.18564/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":"2026-07-05T11:25:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"siPrG9THZAM9/bWm+q57Q+U8PJCdy2qzoMN9nJNUp3MYIPypJY735acmKdL72HyshYRrlzsvXkBbl8BW8BHzAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T07:07:06.608430Z"},"content_sha256":"1db19dc6aa7e62d4ae516586d568d7b9629793c858507810505171f28a0d622a","schema_version":"1.0","event_id":"sha256:1db19dc6aa7e62d4ae516586d568d7b9629793c858507810505171f28a0d622a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EKFR44JNAV4LZABMVMDS72XZ7L/bundle.json","state_url":"https://pith.science/pith/EKFR44JNAV4LZABMVMDS72XZ7L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EKFR44JNAV4LZABMVMDS72XZ7L/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":"2026-08-13T07:07:06Z","links":{"resolver":"https://pith.science/pith/EKFR44JNAV4LZABMVMDS72XZ7L","bundle":"https://pith.science/pith/EKFR44JNAV4LZABMVMDS72XZ7L/bundle.json","state":"https://pith.science/pith/EKFR44JNAV4LZABMVMDS72XZ7L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EKFR44JNAV4LZABMVMDS72XZ7L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EKFR44JNAV4LZABMVMDS72XZ7L","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":"8959df5a9e8185dcb74451a5202f83f7c0c376c316d9f71acb19268d3cd5a97f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-23T12:20:14Z","title_canon_sha256":"7d575a333537156bbf66669cbd7687c0dfcee9a0f9c23e590f61bb63c97eef68"},"schema_version":"1.0","source":{"id":"2506.18564","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18564","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18564v1","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18564","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"pith_short_12","alias_value":"EKFR44JNAV4L","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"pith_short_16","alias_value":"EKFR44JNAV4LZABM","created_at":"2026-07-05T11:25:52Z"},{"alias_kind":"pith_short_8","alias_value":"EKFR44JN","created_at":"2026-07-05T11:25:52Z"}],"graph_snapshots":[{"event_id":"sha256:1db19dc6aa7e62d4ae516586d568d7b9629793c858507810505171f28a0d622a","target":"graph","created_at":"2026-07-05T11:25:52Z","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/2506.18564/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in AI-generated content (AIGC) have led to the emergence of powerful text-to-video generation models. Despite these successes, evaluating the quality of AIGC-generated videos remains challenging due to limited generalization, lack of temporal awareness, heavy reliance on large-scale annotated datasets, and the lack of effective interaction with generation models. Most current approaches rely on supervised finetuning of vision-language models (VLMs), which often require large-scale annotated datasets and tend to decouple understanding and generation. To address these shortcoming","authors_text":"Jian Zhang, Junlin Li, Li Zhang, Shijie Zhao, Weiqi Li, Xuanyu Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-23T12:20:14Z","title":"VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18564","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:b513700860b9310580800c6b22666c643e69c842e3d20739df9c64830fce8edd","target":"record","created_at":"2026-07-05T11:25:52Z","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":"8959df5a9e8185dcb74451a5202f83f7c0c376c316d9f71acb19268d3cd5a97f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-23T12:20:14Z","title_canon_sha256":"7d575a333537156bbf66669cbd7687c0dfcee9a0f9c23e590f61bb63c97eef68"},"schema_version":"1.0","source":{"id":"2506.18564","kind":"arxiv","version":1}},"canonical_sha256":"228b1e712d0578bc802cab072feaf9fac010fa83b359d080543010aba953afca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"228b1e712d0578bc802cab072feaf9fac010fa83b359d080543010aba953afca","first_computed_at":"2026-07-05T11:25:52.164234Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:52.164234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O9bftxRVPZQsP0AhGz7lsn+nW0QSR3WLDovEjHNzE1TlNHuRAIBITUsTAuzEJ/2vJ91ekHoyksVsXr6lyE+yBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:52.164637Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.18564","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b513700860b9310580800c6b22666c643e69c842e3d20739df9c64830fce8edd","sha256:1db19dc6aa7e62d4ae516586d568d7b9629793c858507810505171f28a0d622a"],"state_sha256":"7135e9a911f5e8d914484fc8044c76cc2594fb009294e8ef0753046d0000464e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"76juF+/wqnTjBlyR2wsy0ZvtwRJTSm/2VvwpiA8XAVkTLZELMfZnwzi0zptfaxLM+z0CqY+q21eJckBEDzdsAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T07:07:06.615068Z","bundle_sha256":"496fd537f9f027648e78b9f331ea69bbd3ed0fbbcfd820a6128388d79c79279b"}}