{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CDTB2II322XCSH7336LZP5YYAF","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":"2bb5c89a5bf3fb0ae5198afe50f294437a7c4871b1ad1b1fd483772e6bd86332","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T04:53:24Z","title_canon_sha256":"87f38f5152ea1260547bcfd79d482e3e5bd63adba7e828a046c3274dd99aa7f2"},"schema_version":"1.0","source":{"id":"2207.05315","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.05315","created_at":"2026-07-05T04:48:14Z"},{"alias_kind":"arxiv_version","alias_value":"2207.05315v3","created_at":"2026-07-05T04:48:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.05315","created_at":"2026-07-05T04:48:14Z"},{"alias_kind":"pith_short_12","alias_value":"CDTB2II322XC","created_at":"2026-07-05T04:48:14Z"},{"alias_kind":"pith_short_16","alias_value":"CDTB2II322XCSH73","created_at":"2026-07-05T04:48:14Z"},{"alias_kind":"pith_short_8","alias_value":"CDTB2II3","created_at":"2026-07-05T04:48:14Z"}],"graph_snapshots":[{"event_id":"sha256:4d79320bf0ea480d02167ae6e54b796dfb17499f35a8a45c1f6e72931f66b7e6","target":"graph","created_at":"2026-07-05T04:48:14Z","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/2207.05315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents an end-to-end learning-based video compression system, termed CANF-VC, based on conditional augmented normalizing flows (CANF). Most learned video compression systems adopt the same hybrid-based coding architecture as the traditional codecs. Recent research on conditional coding has shown the sub-optimality of the hybrid-based coding and opens up opportunities for deep generative models to take a key role in creating new coding frameworks. CANF-VC represents a new attempt that leverages the conditional ANF to learn a video generative model for conditional inter-frame coding","authors_text":"Alessandro Gnutti, Chih-Peng Chang, Peng-Yu Chen, Wen-Hsiao Peng, Yung-Han Ho","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T04:53:24Z","title":"CANF-VC: Conditional Augmented Normalizing Flows for Video Compression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.05315","kind":"arxiv","version":3},"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":"sha256:5861f4f459c9df46febb9a29985c8925c03f7162f58c0b4b29f9d3d55c52e12b","target":"record","created_at":"2026-07-05T04:48:14Z","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":"2bb5c89a5bf3fb0ae5198afe50f294437a7c4871b1ad1b1fd483772e6bd86332","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T04:53:24Z","title_canon_sha256":"87f38f5152ea1260547bcfd79d482e3e5bd63adba7e828a046c3274dd99aa7f2"},"schema_version":"1.0","source":{"id":"2207.05315","kind":"arxiv","version":3}},"canonical_sha256":"10e61d211bd6ae291ffbdf9797f71801414cf9dfb60498839a65fefea6a4337e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10e61d211bd6ae291ffbdf9797f71801414cf9dfb60498839a65fefea6a4337e","first_computed_at":"2026-07-05T04:48:14.761474Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:48:14.761474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jjjjmlm4ZpW5sTcwUW32qI/QYf7OuybWVfYb18PWsmpytQ/d757QqqdF9iTxK/RNCCD+ekm7JhJjPXyXp3HZCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:48:14.761930Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.05315","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5861f4f459c9df46febb9a29985c8925c03f7162f58c0b4b29f9d3d55c52e12b","sha256:4d79320bf0ea480d02167ae6e54b796dfb17499f35a8a45c1f6e72931f66b7e6"],"state_sha256":"e9e944dcf2846e9ad7db9a12764d85243a7736e2c8db23f90286c6d3bc97915f"}