{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WDTNWGX3GVZINJBWJA5XQE6L4Y","short_pith_number":"pith:WDTNWGX3","canonical_record":{"source":{"id":"2505.13152","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-19T14:13:14Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3dfdfdc2a4d17efceee5ef8ab27a8f3e559b3fa40a8f2ac920ca27b027e37987","abstract_canon_sha256":"b9a10b83b44c5dcd12896f9b73b877802b285ed2bd72ec6b8664db4f02064fee"},"schema_version":"1.0"},"canonical_sha256":"b0e6db1afb357286a436483b7813cbe631ce1573b92bae9db7f647e8b52f00c3","source":{"kind":"arxiv","id":"2505.13152","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13152","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13152v1","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13152","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_12","alias_value":"WDTNWGX3GVZI","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_16","alias_value":"WDTNWGX3GVZINJBW","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_8","alias_value":"WDTNWGX3","created_at":"2026-07-05T11:05:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WDTNWGX3GVZINJBWJA5XQE6L4Y","target":"record","payload":{"canonical_record":{"source":{"id":"2505.13152","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-19T14:13:14Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"3dfdfdc2a4d17efceee5ef8ab27a8f3e559b3fa40a8f2ac920ca27b027e37987","abstract_canon_sha256":"b9a10b83b44c5dcd12896f9b73b877802b285ed2bd72ec6b8664db4f02064fee"},"schema_version":"1.0"},"canonical_sha256":"b0e6db1afb357286a436483b7813cbe631ce1573b92bae9db7f647e8b52f00c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:25.840911Z","signature_b64":"hGSc7z5XveoE1IaWVAXsOJ/fwo0U/RpoL+TId8EzMDhR4de8S4gWK4C4+P3RAFeKxOaqOss6LO0N0jVJmsMgDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0e6db1afb357286a436483b7813cbe631ce1573b92bae9db7f647e8b52f00c3","last_reissued_at":"2026-07-05T11:05:25.840430Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:25.840430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.13152","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":"2026-07-05T11:05:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O5S4PLsBmE7QtUZM5NEY67stXGFqPpzTc/ubIPvysI+25iQ8F4eziolZ6QfgLtDd6lpTP3zrW8pyiLS6t1ToCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:39:58.737622Z"},"content_sha256":"7b65ad10f7d332e2459843a9b9cac69dc207754d32feff2cb6d7c3f068edea89","schema_version":"1.0","event_id":"sha256:7b65ad10f7d332e2459843a9b9cac69dc207754d32feff2cb6d7c3f068edea89"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WDTNWGX3GVZINJBWJA5XQE6L4Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Jonas Brenig, Radu Timofte","submitted_at":"2025-05-19T14:13:14Z","abstract_excerpt":"Denoising diffusion models achieved impressive results on several image generation tasks often outperforming GAN based models. Recently, the generative capabilities of diffusion models have been employed for perceptual image compression, such as in CDC. A major drawback of these diffusion-based methods is that, while producing impressive perceptual quality images they are dropping in fidelity/increasing the distortion to the original uncompressed images when compared with other traditional or learned image compression schemes aiming for fidelity. In this paper, we propose a hybrid compression "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13152","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/2505.13152/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":"2026-07-05T11:05:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M8lc4xPnaBJ94UzwTdOfiVEaVDiBI61jUkYfPIoAj4jUuyJ/VsuU0BJ7/pAn2hkXEGZa7mSEOJvRCPQM1hwQAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T04:39:58.738064Z"},"content_sha256":"afee3076af93472496a48e7d1043a21e0bdef78df17f5793b0f0d27843f0df3d","schema_version":"1.0","event_id":"sha256:afee3076af93472496a48e7d1043a21e0bdef78df17f5793b0f0d27843f0df3d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WDTNWGX3GVZINJBWJA5XQE6L4Y/bundle.json","state_url":"https://pith.science/pith/WDTNWGX3GVZINJBWJA5XQE6L4Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WDTNWGX3GVZINJBWJA5XQE6L4Y/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":"2026-08-19T04:39:58Z","links":{"resolver":"https://pith.science/pith/WDTNWGX3GVZINJBWJA5XQE6L4Y","bundle":"https://pith.science/pith/WDTNWGX3GVZINJBWJA5XQE6L4Y/bundle.json","state":"https://pith.science/pith/WDTNWGX3GVZINJBWJA5XQE6L4Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WDTNWGX3GVZINJBWJA5XQE6L4Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WDTNWGX3GVZINJBWJA5XQE6L4Y","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":"b9a10b83b44c5dcd12896f9b73b877802b285ed2bd72ec6b8664db4f02064fee","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-19T14:13:14Z","title_canon_sha256":"3dfdfdc2a4d17efceee5ef8ab27a8f3e559b3fa40a8f2ac920ca27b027e37987"},"schema_version":"1.0","source":{"id":"2505.13152","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13152","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13152v1","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13152","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_12","alias_value":"WDTNWGX3GVZI","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_16","alias_value":"WDTNWGX3GVZINJBW","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_8","alias_value":"WDTNWGX3","created_at":"2026-07-05T11:05:25Z"}],"graph_snapshots":[{"event_id":"sha256:afee3076af93472496a48e7d1043a21e0bdef78df17f5793b0f0d27843f0df3d","target":"graph","created_at":"2026-07-05T11:05:25Z","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/2505.13152/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Denoising diffusion models achieved impressive results on several image generation tasks often outperforming GAN based models. Recently, the generative capabilities of diffusion models have been employed for perceptual image compression, such as in CDC. A major drawback of these diffusion-based methods is that, while producing impressive perceptual quality images they are dropping in fidelity/increasing the distortion to the original uncompressed images when compared with other traditional or learned image compression schemes aiming for fidelity. In this paper, we propose a hybrid compression ","authors_text":"Jonas Brenig, Radu Timofte","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-19T14:13:14Z","title":"Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13152","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":"sha256:7b65ad10f7d332e2459843a9b9cac69dc207754d32feff2cb6d7c3f068edea89","target":"record","created_at":"2026-07-05T11:05:25Z","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":"b9a10b83b44c5dcd12896f9b73b877802b285ed2bd72ec6b8664db4f02064fee","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-19T14:13:14Z","title_canon_sha256":"3dfdfdc2a4d17efceee5ef8ab27a8f3e559b3fa40a8f2ac920ca27b027e37987"},"schema_version":"1.0","source":{"id":"2505.13152","kind":"arxiv","version":1}},"canonical_sha256":"b0e6db1afb357286a436483b7813cbe631ce1573b92bae9db7f647e8b52f00c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0e6db1afb357286a436483b7813cbe631ce1573b92bae9db7f647e8b52f00c3","first_computed_at":"2026-07-05T11:05:25.840430Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:25.840430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hGSc7z5XveoE1IaWVAXsOJ/fwo0U/RpoL+TId8EzMDhR4de8S4gWK4C4+P3RAFeKxOaqOss6LO0N0jVJmsMgDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:25.840911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13152","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b65ad10f7d332e2459843a9b9cac69dc207754d32feff2cb6d7c3f068edea89","sha256:afee3076af93472496a48e7d1043a21e0bdef78df17f5793b0f0d27843f0df3d"],"state_sha256":"e4031191f26edea5bbb7ec0d3fcf1174a488ffa551c837699e18bfa5e4e87668"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cDB+PtZB9EE84zy2xUzkU+KByztI37ni0DcmuPzKTysA97jglwRmRyryNOmL8gYSNA79OCTluzXc7rURZaCzAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T04:39:58.740447Z","bundle_sha256":"dee0d28bed644ea1e5f451dd07941f4e4ef683cfac934516509cac4872106f3a"}}