{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5H36MV73FX3A5Z23WCQZQMG72D","short_pith_number":"pith:5H36MV73","canonical_record":{"source":{"id":"2412.16460","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-21T03:25:01Z","cross_cats_sorted":[],"title_canon_sha256":"fbbd3b52cdae47b440b48b6df15548383250bdca35c3e9ac994006d98091e296","abstract_canon_sha256":"8fa1a872a6b797e00c41607929efca143a1e9ed1eecca56825ab697c725720f0"},"schema_version":"1.0"},"canonical_sha256":"e9f7e657fb2df60ee75bb0a19830dfd0c63188fc3904d3f5c50c017a4ac4f679","source":{"kind":"arxiv","id":"2412.16460","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16460","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16460v2","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16460","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"pith_short_12","alias_value":"5H36MV73FX3A","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"pith_short_16","alias_value":"5H36MV73FX3A5Z23","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"pith_short_8","alias_value":"5H36MV73","created_at":"2026-07-05T10:38:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5H36MV73FX3A5Z23WCQZQMG72D","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16460","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-21T03:25:01Z","cross_cats_sorted":[],"title_canon_sha256":"fbbd3b52cdae47b440b48b6df15548383250bdca35c3e9ac994006d98091e296","abstract_canon_sha256":"8fa1a872a6b797e00c41607929efca143a1e9ed1eecca56825ab697c725720f0"},"schema_version":"1.0"},"canonical_sha256":"e9f7e657fb2df60ee75bb0a19830dfd0c63188fc3904d3f5c50c017a4ac4f679","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:38:22.364147Z","signature_b64":"MWdtfZG5W+xz9TVTAOS/CttCEhVNWVpaeEtpA+Fuh/8Vb/WM1HWpdGvSSCqcfPm4bUP5x2cN90twYGUGNWoUDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9f7e657fb2df60ee75bb0a19830dfd0c63188fc3904d3f5c50c017a4ac4f679","last_reissued_at":"2026-07-05T10:38:22.363592Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:38:22.363592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16460","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":"2026-07-05T10:38:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"enU19g3/SQG3Ld2ZFlq44TyS7AeWOpA/p7bHXZdChYmtVIIASOzljx+4C4SuY0mXAEy95MB17LkbDdSOE2TvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:13:56.872347Z"},"content_sha256":"bc395b6434ce312581016bde07605c3ced0fe328eaf3e68fabb60840c21e83fc","schema_version":"1.0","event_id":"sha256:bc395b6434ce312581016bde07605c3ced0fe328eaf3e68fabb60840c21e83fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5H36MV73FX3A5Z23WCQZQMG72D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hua Huang, Lin Zhu, Lizhi Wang, Tong Li, Wanxuan Lu, Zhiyuan Xu","submitted_at":"2024-12-21T03:25:01Z","abstract_excerpt":"Image denoising enhances image quality, serving as a foundational technique across various computational photography applications. The obstacle to clean image acquisition in real scenarios necessitates the development of self-supervised image denoising methods only depending on noisy images, especially a single noisy image. Existing self-supervised image denoising paradigms (Noise2Noise and Noise2Void) rely heavily on information-lossy operations, such as downsampling and masking, culminating in low quality denoising performance. In this paper, we propose a novel self-supervised single image d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16460","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/2412.16460/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":"2026-07-05T10:38:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+i938k27jrFWZIRiA6PrI/BG+UsVwsvQaIqt7Fjm+mok4G8l7748rIzbLiUYQslLVM2YjFQ74PNPXCjD5XFkCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:13:56.872708Z"},"content_sha256":"a433390798f419d5ec5b3edfa0bab10c610c91a48bed481bc085b2d653c318b8","schema_version":"1.0","event_id":"sha256:a433390798f419d5ec5b3edfa0bab10c610c91a48bed481bc085b2d653c318b8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5H36MV73FX3A5Z23WCQZQMG72D/bundle.json","state_url":"https://pith.science/pith/5H36MV73FX3A5Z23WCQZQMG72D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5H36MV73FX3A5Z23WCQZQMG72D/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":"2026-07-07T04:13:56Z","links":{"resolver":"https://pith.science/pith/5H36MV73FX3A5Z23WCQZQMG72D","bundle":"https://pith.science/pith/5H36MV73FX3A5Z23WCQZQMG72D/bundle.json","state":"https://pith.science/pith/5H36MV73FX3A5Z23WCQZQMG72D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5H36MV73FX3A5Z23WCQZQMG72D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5H36MV73FX3A5Z23WCQZQMG72D","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":"8fa1a872a6b797e00c41607929efca143a1e9ed1eecca56825ab697c725720f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-21T03:25:01Z","title_canon_sha256":"fbbd3b52cdae47b440b48b6df15548383250bdca35c3e9ac994006d98091e296"},"schema_version":"1.0","source":{"id":"2412.16460","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16460","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16460v2","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16460","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"pith_short_12","alias_value":"5H36MV73FX3A","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"pith_short_16","alias_value":"5H36MV73FX3A5Z23","created_at":"2026-07-05T10:38:22Z"},{"alias_kind":"pith_short_8","alias_value":"5H36MV73","created_at":"2026-07-05T10:38:22Z"}],"graph_snapshots":[{"event_id":"sha256:a433390798f419d5ec5b3edfa0bab10c610c91a48bed481bc085b2d653c318b8","target":"graph","created_at":"2026-07-05T10:38:22Z","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/2412.16460/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image denoising enhances image quality, serving as a foundational technique across various computational photography applications. The obstacle to clean image acquisition in real scenarios necessitates the development of self-supervised image denoising methods only depending on noisy images, especially a single noisy image. Existing self-supervised image denoising paradigms (Noise2Noise and Noise2Void) rely heavily on information-lossy operations, such as downsampling and masking, culminating in low quality denoising performance. In this paper, we propose a novel self-supervised single image d","authors_text":"Hua Huang, Lin Zhu, Lizhi Wang, Tong Li, Wanxuan Lu, Zhiyuan Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-21T03:25:01Z","title":"Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16460","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:bc395b6434ce312581016bde07605c3ced0fe328eaf3e68fabb60840c21e83fc","target":"record","created_at":"2026-07-05T10:38:22Z","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":"8fa1a872a6b797e00c41607929efca143a1e9ed1eecca56825ab697c725720f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-21T03:25:01Z","title_canon_sha256":"fbbd3b52cdae47b440b48b6df15548383250bdca35c3e9ac994006d98091e296"},"schema_version":"1.0","source":{"id":"2412.16460","kind":"arxiv","version":2}},"canonical_sha256":"e9f7e657fb2df60ee75bb0a19830dfd0c63188fc3904d3f5c50c017a4ac4f679","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9f7e657fb2df60ee75bb0a19830dfd0c63188fc3904d3f5c50c017a4ac4f679","first_computed_at":"2026-07-05T10:38:22.363592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:38:22.363592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MWdtfZG5W+xz9TVTAOS/CttCEhVNWVpaeEtpA+Fuh/8Vb/WM1HWpdGvSSCqcfPm4bUP5x2cN90twYGUGNWoUDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:38:22.364147Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16460","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc395b6434ce312581016bde07605c3ced0fe328eaf3e68fabb60840c21e83fc","sha256:a433390798f419d5ec5b3edfa0bab10c610c91a48bed481bc085b2d653c318b8"],"state_sha256":"6d472003b469cacf766ffbc7812d93f2d43da41455eaf4e99b96aea82f76e1ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PBhBWgcLWGrAKADCOWwY/8xIZ2g39fLVo//iZzJalWUwxCoUbdl5moIlA+SZqHDbkhjdWb3L6YRCawB6xWaxCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T04:13:56.874616Z","bundle_sha256":"50e9c6c5ec3a9573e62359bcb65ee9d5e6545b7ddf316907ecae3332376557ed"}}