{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CDTB2II322XCSH7336LZP5YYAF","short_pith_number":"pith:CDTB2II3","canonical_record":{"source":{"id":"2207.05315","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T04:53:24Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"87f38f5152ea1260547bcfd79d482e3e5bd63adba7e828a046c3274dd99aa7f2","abstract_canon_sha256":"2bb5c89a5bf3fb0ae5198afe50f294437a7c4871b1ad1b1fd483772e6bd86332"},"schema_version":"1.0"},"canonical_sha256":"10e61d211bd6ae291ffbdf9797f71801414cf9dfb60498839a65fefea6a4337e","source":{"kind":"arxiv","id":"2207.05315","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CDTB2II322XCSH7336LZP5YYAF","target":"record","payload":{"canonical_record":{"source":{"id":"2207.05315","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-12T04:53:24Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"87f38f5152ea1260547bcfd79d482e3e5bd63adba7e828a046c3274dd99aa7f2","abstract_canon_sha256":"2bb5c89a5bf3fb0ae5198afe50f294437a7c4871b1ad1b1fd483772e6bd86332"},"schema_version":"1.0"},"canonical_sha256":"10e61d211bd6ae291ffbdf9797f71801414cf9dfb60498839a65fefea6a4337e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:48:14.761930Z","signature_b64":"Jjjjmlm4ZpW5sTcwUW32qI/QYf7OuybWVfYb18PWsmpytQ/d757QqqdF9iTxK/RNCCD+ekm7JhJjPXyXp3HZCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10e61d211bd6ae291ffbdf9797f71801414cf9dfb60498839a65fefea6a4337e","last_reissued_at":"2026-07-05T04:48:14.761474Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:48:14.761474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.05315","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:48:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ni09i37CjUPlh9IhhB3YJK2wcEl4IsszWkJWcxEyzBy+BxoIahJdkmtO6t42qGVxLZ0sOtBv2pV8K0VmJLZ/CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:34:03.171737Z"},"content_sha256":"5861f4f459c9df46febb9a29985c8925c03f7162f58c0b4b29f9d3d55c52e12b","schema_version":"1.0","event_id":"sha256:5861f4f459c9df46febb9a29985c8925c03f7162f58c0b4b29f9d3d55c52e12b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CDTB2II322XCSH7336LZP5YYAF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CANF-VC: Conditional Augmented Normalizing Flows for Video Compression","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Alessandro Gnutti, Chih-Peng Chang, Peng-Yu Chen, Wen-Hsiao Peng, Yung-Han Ho","submitted_at":"2022-07-12T04:53:24Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.05315","kind":"arxiv","version":3},"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/2207.05315/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":"2026-07-05T04:48:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G7VmYcjMx3yVaRWxdgcMaJaY2HL4LeHEaWJ6Nb6gMBfCy6jqV7vHAeoTg/hG03sY2wxVwIlQGc7WQ5HrAe22Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:34:03.172357Z"},"content_sha256":"4d79320bf0ea480d02167ae6e54b796dfb17499f35a8a45c1f6e72931f66b7e6","schema_version":"1.0","event_id":"sha256:4d79320bf0ea480d02167ae6e54b796dfb17499f35a8a45c1f6e72931f66b7e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CDTB2II322XCSH7336LZP5YYAF/bundle.json","state_url":"https://pith.science/pith/CDTB2II322XCSH7336LZP5YYAF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CDTB2II322XCSH7336LZP5YYAF/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":"2026-08-08T15:34:03Z","links":{"resolver":"https://pith.science/pith/CDTB2II322XCSH7336LZP5YYAF","bundle":"https://pith.science/pith/CDTB2II322XCSH7336LZP5YYAF/bundle.json","state":"https://pith.science/pith/CDTB2II322XCSH7336LZP5YYAF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CDTB2II322XCSH7336LZP5YYAF/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AkupSVotk1vdliZRjNepSkyw6Tr7b0NZpFuz1+fr2YBH8T6gaIpiXeema3d1os1LNHny3mMk6Y21zu6AGEEXAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:34:03.177348Z","bundle_sha256":"c05b9086e7027a7c7c5030e9f7f0c38778fedc8fd666c43ba88b5b46ae636a45"}}