{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JHGLDS3QT3OFD73S2XRO3GOFNY","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":"f229cc230f131caaab2a8d95e9640fac4f2335152a7662227ceb3ca40fc9d022","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T17:58:12Z","title_canon_sha256":"9bcb213ccd352b8e40f43ab580981fb5e157deb7e98a3be40833f04a8c41203f"},"schema_version":"1.0","source":{"id":"2605.26105","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26105","created_at":"2026-05-26T03:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26105v1","created_at":"2026-05-26T03:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26105","created_at":"2026-05-26T03:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"JHGLDS3QT3OF","created_at":"2026-05-26T03:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"JHGLDS3QT3OFD73S","created_at":"2026-05-26T03:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"JHGLDS3Q","created_at":"2026-05-26T03:05:24Z"}],"graph_snapshots":[{"event_id":"sha256:146a835ab5776e5ba5192f7b78e3785ceb52ae56c78bc3e03e4aeeec62a1d0f2","target":"graph","created_at":"2026-05-26T03:05:24Z","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/2605.26105/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autoregressive video generators are attractive for streaming, long-horizon, and interactive applications, but distilling strong black-box teachers into causal students remains difficult. The student must learn under its own rollout distribution, whereas practical teachers may expose only prompt-conditioned completed videos and may differ in architecture, capacity, temporal design, and sampling schedule. This interface makes supervised fine-tuning off-policy, score-based distillation inapplicable, and direct adversarial imitation too sparse for denoising-time credit assignment. We propose Adver","authors_text":"Shengju Qian, Xiaohang Tang, Xin Wang, Yang Luo, Yang You, Yong Liu, Zirui Zhu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T17:58:12Z","title":"On-Policy Adversarial Flow Distillation for Autoregressive Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26105","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":"sha256:40c9eceb290e941c9ab5433828ae91331a79ba7e1ad4a43cee8cc313c312dfe5","target":"record","created_at":"2026-05-26T03:05:24Z","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":"f229cc230f131caaab2a8d95e9640fac4f2335152a7662227ceb3ca40fc9d022","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-25T17:58:12Z","title_canon_sha256":"9bcb213ccd352b8e40f43ab580981fb5e157deb7e98a3be40833f04a8c41203f"},"schema_version":"1.0","source":{"id":"2605.26105","kind":"arxiv","version":1}},"canonical_sha256":"49ccb1cb709edc51ff72d5e2ed99c56e3e6cdd011232e76462f589a7b6cb0899","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49ccb1cb709edc51ff72d5e2ed99c56e3e6cdd011232e76462f589a7b6cb0899","first_computed_at":"2026-05-26T03:05:24.301160Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T03:05:24.301160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"71mIGISFtRI00r/uVf5XU6pDTdbf7iQPlW7/8JxYXN+roaZiwoZj2SZ8je72VI07pyAo1xFT3SmxKrEXlJKeDA==","signature_status":"signed_v1","signed_at":"2026-05-26T03:05:24.302152Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26105","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:40c9eceb290e941c9ab5433828ae91331a79ba7e1ad4a43cee8cc313c312dfe5","sha256:146a835ab5776e5ba5192f7b78e3785ceb52ae56c78bc3e03e4aeeec62a1d0f2"],"state_sha256":"2181e9b3eedcdecc3788b40b8a9850c12b3bd978fed77467c3c5201f5e0dfe9a"}