{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KOWWNU2D6D74CNIY6WMVQT4WFF","short_pith_number":"pith:KOWWNU2D","canonical_record":{"source":{"id":"2111.14358","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-29T07:22:53Z","cross_cats_sorted":[],"title_canon_sha256":"31bea7a7f1863a8714c43dfc0400956bf3686d9b181b2eb888c1a57fd22a066f","abstract_canon_sha256":"ba6d6f95a6c308da17b842444954a721c5e5b28d02e3b55be969f87387f12c45"},"schema_version":"1.0"},"canonical_sha256":"53ad66d343f0ffc13518f599584f9629661fd8215e904a92f0204baa61662eef","source":{"kind":"arxiv","id":"2111.14358","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.14358","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"arxiv_version","alias_value":"2111.14358v2","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.14358","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"pith_short_12","alias_value":"KOWWNU2D6D74","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"pith_short_16","alias_value":"KOWWNU2D6D74CNIY","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"pith_short_8","alias_value":"KOWWNU2D","created_at":"2026-07-05T04:07:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KOWWNU2D6D74CNIY6WMVQT4WFF","target":"record","payload":{"canonical_record":{"source":{"id":"2111.14358","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-29T07:22:53Z","cross_cats_sorted":[],"title_canon_sha256":"31bea7a7f1863a8714c43dfc0400956bf3686d9b181b2eb888c1a57fd22a066f","abstract_canon_sha256":"ba6d6f95a6c308da17b842444954a721c5e5b28d02e3b55be969f87387f12c45"},"schema_version":"1.0"},"canonical_sha256":"53ad66d343f0ffc13518f599584f9629661fd8215e904a92f0204baa61662eef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:07:06.714584Z","signature_b64":"3j7Z51so3dEZalpCov2br06on8zBhOwqT3pSZGUchE9SDM+NyBvXvL1Ljw1dU/iGvDmccKjWCO/psF0JF7H6CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53ad66d343f0ffc13518f599584f9629661fd8215e904a92f0204baa61662eef","last_reissued_at":"2026-07-05T04:07:06.714123Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:07:06.714123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.14358","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:07:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bbFUHI1PpPyJCIGhjQKpgRbNAtrsp75V9bxTGL+RL6kh13BAjK+ihjcM9+3ehtr+SOlPZfiCJMMzZ8tyG2e4Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:40:41.327473Z"},"content_sha256":"bb4ee02b2a3e6f1fcf5752a5cfcf01dad7ac157a84a2803fcfc4e2d6cb59ecc4","schema_version":"1.0","event_id":"sha256:bb4ee02b2a3e6f1fcf5752a5cfcf01dad7ac157a84a2803fcfc4e2d6cb59ecc4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KOWWNU2D6D74CNIY6WMVQT4WFF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IDR: Self-Supervised Image Denoising via Iterative Data Refinement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dasong Li, Hongsheng Li, Hongwei Qin, Ka Lung Law, Xiaogang Wang, Yi Zhang","submitted_at":"2021-11-29T07:22:53Z","abstract_excerpt":"The lack of large-scale noisy-clean image pairs restricts supervised denoising methods' deployment in actual applications. While existing unsupervised methods are able to learn image denoising without ground-truth clean images, they either show poor performance or work under impractical settings (e.g., paired noisy images). In this paper, we present a practical unsupervised image denoising method to achieve state-of-the-art denoising performance. Our method only requires single noisy images and a noise model, which is easily accessible in practical raw image denoising. It performs two steps it"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.14358","kind":"arxiv","version":2},"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/2111.14358/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":"2026-07-05T04:07:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rT8evNJ9zJWx6DTjLTIN7SkDUlyVlbeTWmefx4dQbQxGT7w7RL1PPz5WfYW1dC22l97Wl2G/i+8O+3GoG9Y1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T10:40:41.328897Z"},"content_sha256":"c8c596dbe420780bf9e5a982d9d7a37a5a7d23b36bca3bf2fdc44e5031415801","schema_version":"1.0","event_id":"sha256:c8c596dbe420780bf9e5a982d9d7a37a5a7d23b36bca3bf2fdc44e5031415801"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KOWWNU2D6D74CNIY6WMVQT4WFF/bundle.json","state_url":"https://pith.science/pith/KOWWNU2D6D74CNIY6WMVQT4WFF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KOWWNU2D6D74CNIY6WMVQT4WFF/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":"2026-08-05T10:40:41Z","links":{"resolver":"https://pith.science/pith/KOWWNU2D6D74CNIY6WMVQT4WFF","bundle":"https://pith.science/pith/KOWWNU2D6D74CNIY6WMVQT4WFF/bundle.json","state":"https://pith.science/pith/KOWWNU2D6D74CNIY6WMVQT4WFF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KOWWNU2D6D74CNIY6WMVQT4WFF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KOWWNU2D6D74CNIY6WMVQT4WFF","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":"ba6d6f95a6c308da17b842444954a721c5e5b28d02e3b55be969f87387f12c45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-29T07:22:53Z","title_canon_sha256":"31bea7a7f1863a8714c43dfc0400956bf3686d9b181b2eb888c1a57fd22a066f"},"schema_version":"1.0","source":{"id":"2111.14358","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.14358","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"arxiv_version","alias_value":"2111.14358v2","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.14358","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"pith_short_12","alias_value":"KOWWNU2D6D74","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"pith_short_16","alias_value":"KOWWNU2D6D74CNIY","created_at":"2026-07-05T04:07:06Z"},{"alias_kind":"pith_short_8","alias_value":"KOWWNU2D","created_at":"2026-07-05T04:07:06Z"}],"graph_snapshots":[{"event_id":"sha256:c8c596dbe420780bf9e5a982d9d7a37a5a7d23b36bca3bf2fdc44e5031415801","target":"graph","created_at":"2026-07-05T04:07:06Z","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/2111.14358/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The lack of large-scale noisy-clean image pairs restricts supervised denoising methods' deployment in actual applications. While existing unsupervised methods are able to learn image denoising without ground-truth clean images, they either show poor performance or work under impractical settings (e.g., paired noisy images). In this paper, we present a practical unsupervised image denoising method to achieve state-of-the-art denoising performance. Our method only requires single noisy images and a noise model, which is easily accessible in practical raw image denoising. It performs two steps it","authors_text":"Dasong Li, Hongsheng Li, Hongwei Qin, Ka Lung Law, Xiaogang Wang, Yi Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-29T07:22:53Z","title":"IDR: Self-Supervised Image Denoising via Iterative Data Refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.14358","kind":"arxiv","version":2},"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:bb4ee02b2a3e6f1fcf5752a5cfcf01dad7ac157a84a2803fcfc4e2d6cb59ecc4","target":"record","created_at":"2026-07-05T04:07:06Z","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":"ba6d6f95a6c308da17b842444954a721c5e5b28d02e3b55be969f87387f12c45","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-11-29T07:22:53Z","title_canon_sha256":"31bea7a7f1863a8714c43dfc0400956bf3686d9b181b2eb888c1a57fd22a066f"},"schema_version":"1.0","source":{"id":"2111.14358","kind":"arxiv","version":2}},"canonical_sha256":"53ad66d343f0ffc13518f599584f9629661fd8215e904a92f0204baa61662eef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53ad66d343f0ffc13518f599584f9629661fd8215e904a92f0204baa61662eef","first_computed_at":"2026-07-05T04:07:06.714123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:07:06.714123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3j7Z51so3dEZalpCov2br06on8zBhOwqT3pSZGUchE9SDM+NyBvXvL1Ljw1dU/iGvDmccKjWCO/psF0JF7H6CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:07:06.714584Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.14358","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb4ee02b2a3e6f1fcf5752a5cfcf01dad7ac157a84a2803fcfc4e2d6cb59ecc4","sha256:c8c596dbe420780bf9e5a982d9d7a37a5a7d23b36bca3bf2fdc44e5031415801"],"state_sha256":"06c444e7d693737de3bd674df3f3fa5d396b8f5ea161ef160478b46938f48daa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G0otXU2+AL2yekSvRyaNBKnEScCyzdCjwkxfpbxPMRRtbSXfHxzdd/x+CNkQrOrwB2GbUCxBvccrslsDkijBDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T10:40:41.334081Z","bundle_sha256":"4325791eb6ab5b1217fbe7cdcd415bc314830a0adc8f1e0d1cba8875d9d469c6"}}