{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WRGZTZTFTUTJNHGFHZ64P6LYDI","short_pith_number":"pith:WRGZTZTF","canonical_record":{"source":{"id":"1811.12766","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T12:44:50Z","cross_cats_sorted":[],"title_canon_sha256":"8d575d3812db6c216cb9ac2f162c057c083c5c182fff713009feaa8fcef1fedc","abstract_canon_sha256":"2c87e8e0e554330d06bdc591f38611329096dabc558bfcef3dd956d8ad420962"},"schema_version":"1.0"},"canonical_sha256":"b44d99e6659d26969cc53e7dc7f9781a1b23065b7bd06bc80e8b8955aa070ccf","source":{"kind":"arxiv","id":"1811.12766","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.12766","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"arxiv_version","alias_value":"1811.12766v3","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.12766","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"pith_short_12","alias_value":"WRGZTZTFTUTJ","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"pith_short_16","alias_value":"WRGZTZTFTUTJNHGF","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"pith_short_8","alias_value":"WRGZTZTF","created_at":"2026-07-05T00:43:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WRGZTZTFTUTJNHGFHZ64P6LYDI","target":"record","payload":{"canonical_record":{"source":{"id":"1811.12766","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T12:44:50Z","cross_cats_sorted":[],"title_canon_sha256":"8d575d3812db6c216cb9ac2f162c057c083c5c182fff713009feaa8fcef1fedc","abstract_canon_sha256":"2c87e8e0e554330d06bdc591f38611329096dabc558bfcef3dd956d8ad420962"},"schema_version":"1.0"},"canonical_sha256":"b44d99e6659d26969cc53e7dc7f9781a1b23065b7bd06bc80e8b8955aa070ccf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:43:31.580576Z","signature_b64":"DArrKLeUyB8OI8zixSSSzlOtAG5YLGosSe2xD09p+g4gBkWW3ENMl0Fz25xkYev+i0ofVBTzkZbnptIwBPY3CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b44d99e6659d26969cc53e7dc7f9781a1b23065b7bd06bc80e8b8955aa070ccf","last_reissued_at":"2026-07-05T00:43:31.580081Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:43:31.580081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.12766","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":"2026-07-05T00:43:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"viPgOKJxnFypK/Rv92cmGPYcY1RoHFBFOE9CCHRQWeFww0bwRg+AS4N2DRaaQlXfse5U7Zrn4bvuLsJFtMwqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T12:42:04.435816Z"},"content_sha256":"9927682c767af6cf166939d8b3f91586295cc951b9e347e2f00861517dbcef3b","schema_version":"1.0","event_id":"sha256:9927682c767af6cf166939d8b3f91586295cc951b9e347e2f00861517dbcef3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WRGZTZTFTUTJNHGFHZ64P6LYDI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model-blind Video Denoising Via Frame-to-frame Training","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias, Thibaud Ehret","submitted_at":"2018-11-30T12:44:50Z","abstract_excerpt":"Modeling the processing chain that has produced a video is a difficult reverse engineering task, even when the camera is available. This makes model based video processing a still more complex task. In this paper we propose a fully blind video denoising method, with two versions off-line and on-line. This is achieved by fine-tuning a pre-trained AWGN denoising network to the video with a novel frame-to-frame training strategy. Our denoiser can be used without knowledge of the origin of the video or burst and the post processing steps applied from the camera sensor. The on-line process only req"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.12766","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/1811.12766/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":"2026-07-05T00:43:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z0LjmMn3BBGENXimy4hijjM1crKww0MyhXOQTIGdLImDCGZNPOLhto5Aldl30M/LjJdF8pKWZsAEcaQ1n5TAAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T12:42:04.436350Z"},"content_sha256":"8b993df4575270622b881ea805603cfbdd02e5cc6147b30899bee67771682c4d","schema_version":"1.0","event_id":"sha256:8b993df4575270622b881ea805603cfbdd02e5cc6147b30899bee67771682c4d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WRGZTZTFTUTJNHGFHZ64P6LYDI/bundle.json","state_url":"https://pith.science/pith/WRGZTZTFTUTJNHGFHZ64P6LYDI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WRGZTZTFTUTJNHGFHZ64P6LYDI/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":"2026-08-15T12:42:04Z","links":{"resolver":"https://pith.science/pith/WRGZTZTFTUTJNHGFHZ64P6LYDI","bundle":"https://pith.science/pith/WRGZTZTFTUTJNHGFHZ64P6LYDI/bundle.json","state":"https://pith.science/pith/WRGZTZTFTUTJNHGFHZ64P6LYDI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WRGZTZTFTUTJNHGFHZ64P6LYDI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WRGZTZTFTUTJNHGFHZ64P6LYDI","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":"2c87e8e0e554330d06bdc591f38611329096dabc558bfcef3dd956d8ad420962","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T12:44:50Z","title_canon_sha256":"8d575d3812db6c216cb9ac2f162c057c083c5c182fff713009feaa8fcef1fedc"},"schema_version":"1.0","source":{"id":"1811.12766","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.12766","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"arxiv_version","alias_value":"1811.12766v3","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.12766","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"pith_short_12","alias_value":"WRGZTZTFTUTJ","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"pith_short_16","alias_value":"WRGZTZTFTUTJNHGF","created_at":"2026-07-05T00:43:31Z"},{"alias_kind":"pith_short_8","alias_value":"WRGZTZTF","created_at":"2026-07-05T00:43:31Z"}],"graph_snapshots":[{"event_id":"sha256:8b993df4575270622b881ea805603cfbdd02e5cc6147b30899bee67771682c4d","target":"graph","created_at":"2026-07-05T00:43:31Z","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/1811.12766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modeling the processing chain that has produced a video is a difficult reverse engineering task, even when the camera is available. This makes model based video processing a still more complex task. In this paper we propose a fully blind video denoising method, with two versions off-line and on-line. This is achieved by fine-tuning a pre-trained AWGN denoising network to the video with a novel frame-to-frame training strategy. Our denoiser can be used without knowledge of the origin of the video or burst and the post processing steps applied from the camera sensor. The on-line process only req","authors_text":"Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias, Thibaud Ehret","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T12:44:50Z","title":"Model-blind Video Denoising Via Frame-to-frame Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.12766","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":"sha256:9927682c767af6cf166939d8b3f91586295cc951b9e347e2f00861517dbcef3b","target":"record","created_at":"2026-07-05T00:43:31Z","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":"2c87e8e0e554330d06bdc591f38611329096dabc558bfcef3dd956d8ad420962","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-30T12:44:50Z","title_canon_sha256":"8d575d3812db6c216cb9ac2f162c057c083c5c182fff713009feaa8fcef1fedc"},"schema_version":"1.0","source":{"id":"1811.12766","kind":"arxiv","version":3}},"canonical_sha256":"b44d99e6659d26969cc53e7dc7f9781a1b23065b7bd06bc80e8b8955aa070ccf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b44d99e6659d26969cc53e7dc7f9781a1b23065b7bd06bc80e8b8955aa070ccf","first_computed_at":"2026-07-05T00:43:31.580081Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:43:31.580081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DArrKLeUyB8OI8zixSSSzlOtAG5YLGosSe2xD09p+g4gBkWW3ENMl0Fz25xkYev+i0ofVBTzkZbnptIwBPY3CA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:43:31.580576Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.12766","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9927682c767af6cf166939d8b3f91586295cc951b9e347e2f00861517dbcef3b","sha256:8b993df4575270622b881ea805603cfbdd02e5cc6147b30899bee67771682c4d"],"state_sha256":"503684c5c419da478b242756b6a4e6b71634e77ada6439d7be22153829f754cb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZWN4i9F/NoPar+xrCqSGSX5C306M4DZ7dO4xhX1uwZ2hCUBTii7z26tRCVR2LR3rvqi4vWiKTujZ8asMZFRHBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T12:42:04.440025Z","bundle_sha256":"c7eec690ead3c56677f6bbdae7ac545fcfef49d920dd08710ac472d5ea02a26e"}}