{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TF6V5JPO6OE3O26LILDIEJR5ZQ","short_pith_number":"pith:TF6V5JPO","canonical_record":{"source":{"id":"2403.06054","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-03-10T00:47:05Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","eess.SP"],"title_canon_sha256":"6efc278e85e78f2ae2ddbda54c7c5077191c308bdd53c692faf52d984f2a4e3b","abstract_canon_sha256":"ca25ff98b348180fc0c8b94c04f6d0badb6d10785be676cb7ec15e707e432aee"},"schema_version":"1.0"},"canonical_sha256":"997d5ea5eef389b76bcb42c682263dcc365fd1f6b12f0c6b09891cd5952aaced","source":{"kind":"arxiv","id":"2403.06054","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06054","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06054v6","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06054","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"TF6V5JPO6OE3","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"pith_short_16","alias_value":"TF6V5JPO6OE3O26L","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"pith_short_8","alias_value":"TF6V5JPO","created_at":"2026-07-05T11:17:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TF6V5JPO6OE3O26LILDIEJR5ZQ","target":"record","payload":{"canonical_record":{"source":{"id":"2403.06054","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-03-10T00:47:05Z","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","eess.SP"],"title_canon_sha256":"6efc278e85e78f2ae2ddbda54c7c5077191c308bdd53c692faf52d984f2a4e3b","abstract_canon_sha256":"ca25ff98b348180fc0c8b94c04f6d0badb6d10785be676cb7ec15e707e432aee"},"schema_version":"1.0"},"canonical_sha256":"997d5ea5eef389b76bcb42c682263dcc365fd1f6b12f0c6b09891cd5952aaced","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:32.331339Z","signature_b64":"Uj6CGJaAP3VMhc2R5CuCGF/u7DjD8NsPxyous0D9tR7YN/W1WoFfOPIZ5qKvfwZ2JMlCsDf+Oqu5XTGwEOPkCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"997d5ea5eef389b76bcb42c682263dcc365fd1f6b12f0c6b09891cd5952aaced","last_reissued_at":"2026-07-05T11:17:32.330843Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:32.330843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.06054","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UQ9Hn3Ph1iY3bxdv6EbhiVIWpSEWp9gAn+izZU50ag+jpUsMRRKhoAxHOQjM/IqMS84Go/Hl3bNycW7YnxK9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T06:44:39.833654Z"},"content_sha256":"6d802204279c83f802a8f8466d15e06fade193cca71f67db444c69ddc320a3a8","schema_version":"1.0","event_id":"sha256:6d802204279c83f802a8f8466d15e06fade193cca71f67db444c69ddc320a3a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TF6V5JPO6OE3O26LILDIEJR5ZQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Decoupled Data Consistency with Diffusion Purification for Image Restoration","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.LG","eess.SP"],"primary_cat":"eess.IV","authors_text":"Ismail R. Alkhouri, Qing Qu, Saiprasad Ravishankar, Shijun Liang, Soo Min Kwon, Xiang Li","submitted_at":"2024-03-10T00:47:05Z","abstract_excerpt":"Diffusion models have recently gained traction as a powerful class of deep generative priors, excelling in a wide range of image restoration tasks due to their exceptional ability to model data distributions. To solve image restoration problems, many existing techniques achieve data consistency by incorporating additional likelihood gradient steps into the reverse sampling process of diffusion models. However, the additional gradient steps pose a challenge for real-world practical applications as they incur a large computational overhead, thereby increasing inference time. They also present ad"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06054","kind":"arxiv","version":6},"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/2403.06054/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":"2026-07-05T11:17:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LLqixzxNUfZbLLYv3n9y/8KqQBz/6AJPGsXP7nwgJ8NbI6F42+Nb56WZMWjgNpzZCVmJLOolMl5i9K6ObSvpCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T06:44:39.834171Z"},"content_sha256":"665e5c6f7acb7c56b9fce69ce353e7d19f49c9877927c8b9d1d8b05cee505b4f","schema_version":"1.0","event_id":"sha256:665e5c6f7acb7c56b9fce69ce353e7d19f49c9877927c8b9d1d8b05cee505b4f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TF6V5JPO6OE3O26LILDIEJR5ZQ/bundle.json","state_url":"https://pith.science/pith/TF6V5JPO6OE3O26LILDIEJR5ZQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TF6V5JPO6OE3O26LILDIEJR5ZQ/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":"2026-08-23T06:44:39Z","links":{"resolver":"https://pith.science/pith/TF6V5JPO6OE3O26LILDIEJR5ZQ","bundle":"https://pith.science/pith/TF6V5JPO6OE3O26LILDIEJR5ZQ/bundle.json","state":"https://pith.science/pith/TF6V5JPO6OE3O26LILDIEJR5ZQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TF6V5JPO6OE3O26LILDIEJR5ZQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TF6V5JPO6OE3O26LILDIEJR5ZQ","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":"ca25ff98b348180fc0c8b94c04f6d0badb6d10785be676cb7ec15e707e432aee","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-03-10T00:47:05Z","title_canon_sha256":"6efc278e85e78f2ae2ddbda54c7c5077191c308bdd53c692faf52d984f2a4e3b"},"schema_version":"1.0","source":{"id":"2403.06054","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.06054","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"arxiv_version","alias_value":"2403.06054v6","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.06054","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"pith_short_12","alias_value":"TF6V5JPO6OE3","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"pith_short_16","alias_value":"TF6V5JPO6OE3O26L","created_at":"2026-07-05T11:17:32Z"},{"alias_kind":"pith_short_8","alias_value":"TF6V5JPO","created_at":"2026-07-05T11:17:32Z"}],"graph_snapshots":[{"event_id":"sha256:665e5c6f7acb7c56b9fce69ce353e7d19f49c9877927c8b9d1d8b05cee505b4f","target":"graph","created_at":"2026-07-05T11:17:32Z","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/2403.06054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have recently gained traction as a powerful class of deep generative priors, excelling in a wide range of image restoration tasks due to their exceptional ability to model data distributions. To solve image restoration problems, many existing techniques achieve data consistency by incorporating additional likelihood gradient steps into the reverse sampling process of diffusion models. However, the additional gradient steps pose a challenge for real-world practical applications as they incur a large computational overhead, thereby increasing inference time. They also present ad","authors_text":"Ismail R. Alkhouri, Qing Qu, Saiprasad Ravishankar, Shijun Liang, Soo Min Kwon, Xiang Li","cross_cats":["cs.AI","cs.CV","cs.LG","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-03-10T00:47:05Z","title":"Decoupled Data Consistency with Diffusion Purification for Image Restoration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.06054","kind":"arxiv","version":6},"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":"sha256:6d802204279c83f802a8f8466d15e06fade193cca71f67db444c69ddc320a3a8","target":"record","created_at":"2026-07-05T11:17:32Z","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":"ca25ff98b348180fc0c8b94c04f6d0badb6d10785be676cb7ec15e707e432aee","cross_cats_sorted":["cs.AI","cs.CV","cs.LG","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-03-10T00:47:05Z","title_canon_sha256":"6efc278e85e78f2ae2ddbda54c7c5077191c308bdd53c692faf52d984f2a4e3b"},"schema_version":"1.0","source":{"id":"2403.06054","kind":"arxiv","version":6}},"canonical_sha256":"997d5ea5eef389b76bcb42c682263dcc365fd1f6b12f0c6b09891cd5952aaced","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"997d5ea5eef389b76bcb42c682263dcc365fd1f6b12f0c6b09891cd5952aaced","first_computed_at":"2026-07-05T11:17:32.330843Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:32.330843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Uj6CGJaAP3VMhc2R5CuCGF/u7DjD8NsPxyous0D9tR7YN/W1WoFfOPIZ5qKvfwZ2JMlCsDf+Oqu5XTGwEOPkCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:32.331339Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.06054","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d802204279c83f802a8f8466d15e06fade193cca71f67db444c69ddc320a3a8","sha256:665e5c6f7acb7c56b9fce69ce353e7d19f49c9877927c8b9d1d8b05cee505b4f"],"state_sha256":"0a7018cb80a1afd7a8a3d261f6cba940b097ea33ddbf8abf7fab96b10622d1ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7f1Pm9FezisC7MZBAJNekvkzNYimKMPBY63Q+SGQuu7ixMOSj7FVz/gCFz3G6zvP3nUHCpNYEqa7pksA2IS7BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T06:44:39.839001Z","bundle_sha256":"d46863a13ed8d4440eb7171cc129e8e53f29a0f189b0644622ba007e74a46235"}}