{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:LVCOWXUIRHVAZRSZKHYU5MIAFD","short_pith_number":"pith:LVCOWXUI","canonical_record":{"source":{"id":"2103.00832","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T08:05:02Z","cross_cats_sorted":[],"title_canon_sha256":"dad2230809803afde4d28de7f499ee472972326a1b68ea7ea7a3468b7df1cf1f","abstract_canon_sha256":"f980136c1123cae095b66704cd9d508436b67c00cb1bb107bffce3c52dbec669"},"schema_version":"1.0"},"canonical_sha256":"5d44eb5e8889ea0cc65951f14eb10028de6ad8a1961ca4ab705c91a4ea537f7c","source":{"kind":"arxiv","id":"2103.00832","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.00832","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"arxiv_version","alias_value":"2103.00832v1","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.00832","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_12","alias_value":"LVCOWXUIRHVA","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_16","alias_value":"LVCOWXUIRHVAZRSZ","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_8","alias_value":"LVCOWXUI","created_at":"2026-07-05T02:19:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:LVCOWXUIRHVAZRSZKHYU5MIAFD","target":"record","payload":{"canonical_record":{"source":{"id":"2103.00832","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T08:05:02Z","cross_cats_sorted":[],"title_canon_sha256":"dad2230809803afde4d28de7f499ee472972326a1b68ea7ea7a3468b7df1cf1f","abstract_canon_sha256":"f980136c1123cae095b66704cd9d508436b67c00cb1bb107bffce3c52dbec669"},"schema_version":"1.0"},"canonical_sha256":"5d44eb5e8889ea0cc65951f14eb10028de6ad8a1961ca4ab705c91a4ea537f7c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:19:10.161991Z","signature_b64":"rEcJ6rBqgpQNNO+4sjGRfGYrTz36ehjKs9tU7nBHDvg0nraz2BCNJJPEPSSMRIrwBaLviRs4GkCMqzuI/GlCBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d44eb5e8889ea0cc65951f14eb10028de6ad8a1961ca4ab705c91a4ea537f7c","last_reissued_at":"2026-07-05T02:19:10.161537Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:19:10.161537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.00832","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":"2026-07-05T02:19:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nzMztJ5u6KjHogwsvotWtmT3Y85YGCFGzCUcICs0TAm7BIDq6RlnjVfP8WUA57HjJqEbJOfC6VW8KSh9AIuPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T02:17:31.312104Z"},"content_sha256":"671338195c35b2cbb3e848620450ada7a254a43e082e3ad44ad6aead8c8d9458","schema_version":"1.0","event_id":"sha256:671338195c35b2cbb3e848620450ada7a254a43e082e3ad44ad6aead8c8d9458"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:LVCOWXUIRHVAZRSZKHYU5MIAFD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-supervised Low Light Image Enhancement and Denoising","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Zhang, Chunhui Wang, Qingyan Li, Shiyu Yan, Xiaoguang Di, Yu Zhang","submitted_at":"2021-03-01T08:05:02Z","abstract_excerpt":"This paper proposes a self-supervised low light image enhancement method based on deep learning, which can improve the image contrast and reduce noise at the same time to avoid the blur caused by pre-/post-denoising. The method contains two deep sub-networks, an Image Contrast Enhancement Network (ICE-Net) and a Re-Enhancement and Denoising Network (RED-Net). The ICE-Net takes the low light image as input and produces a contrast enhanced image. The RED-Net takes the result of ICE-Net and the low light image as input, and can re-enhance the low light image and denoise at the same time. Both of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.00832","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/2103.00832/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":"2026-07-05T02:19:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wyZR7eY+xpjQp7TLLBb8BapBxkcVShOxJ6+wsP916FLxbKQ2NU/f9fGdA53GJLgQyEkDDNqnUGI7uesSK0jFBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T02:17:31.312971Z"},"content_sha256":"06842fa0378cd8e98e2e99e34c8e29ce79610017280abde3ddc00c9d7001e99a","schema_version":"1.0","event_id":"sha256:06842fa0378cd8e98e2e99e34c8e29ce79610017280abde3ddc00c9d7001e99a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LVCOWXUIRHVAZRSZKHYU5MIAFD/bundle.json","state_url":"https://pith.science/pith/LVCOWXUIRHVAZRSZKHYU5MIAFD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LVCOWXUIRHVAZRSZKHYU5MIAFD/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":"2026-08-17T02:17:31Z","links":{"resolver":"https://pith.science/pith/LVCOWXUIRHVAZRSZKHYU5MIAFD","bundle":"https://pith.science/pith/LVCOWXUIRHVAZRSZKHYU5MIAFD/bundle.json","state":"https://pith.science/pith/LVCOWXUIRHVAZRSZKHYU5MIAFD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LVCOWXUIRHVAZRSZKHYU5MIAFD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:LVCOWXUIRHVAZRSZKHYU5MIAFD","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":"f980136c1123cae095b66704cd9d508436b67c00cb1bb107bffce3c52dbec669","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T08:05:02Z","title_canon_sha256":"dad2230809803afde4d28de7f499ee472972326a1b68ea7ea7a3468b7df1cf1f"},"schema_version":"1.0","source":{"id":"2103.00832","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.00832","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"arxiv_version","alias_value":"2103.00832v1","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.00832","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_12","alias_value":"LVCOWXUIRHVA","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_16","alias_value":"LVCOWXUIRHVAZRSZ","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_8","alias_value":"LVCOWXUI","created_at":"2026-07-05T02:19:10Z"}],"graph_snapshots":[{"event_id":"sha256:06842fa0378cd8e98e2e99e34c8e29ce79610017280abde3ddc00c9d7001e99a","target":"graph","created_at":"2026-07-05T02:19:10Z","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/2103.00832/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes a self-supervised low light image enhancement method based on deep learning, which can improve the image contrast and reduce noise at the same time to avoid the blur caused by pre-/post-denoising. The method contains two deep sub-networks, an Image Contrast Enhancement Network (ICE-Net) and a Re-Enhancement and Denoising Network (RED-Net). The ICE-Net takes the low light image as input and produces a contrast enhanced image. The RED-Net takes the result of ICE-Net and the low light image as input, and can re-enhance the low light image and denoise at the same time. Both of ","authors_text":"Bin Zhang, Chunhui Wang, Qingyan Li, Shiyu Yan, Xiaoguang Di, Yu Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T08:05:02Z","title":"Self-supervised Low Light Image Enhancement and Denoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.00832","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":"sha256:671338195c35b2cbb3e848620450ada7a254a43e082e3ad44ad6aead8c8d9458","target":"record","created_at":"2026-07-05T02:19:10Z","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":"f980136c1123cae095b66704cd9d508436b67c00cb1bb107bffce3c52dbec669","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T08:05:02Z","title_canon_sha256":"dad2230809803afde4d28de7f499ee472972326a1b68ea7ea7a3468b7df1cf1f"},"schema_version":"1.0","source":{"id":"2103.00832","kind":"arxiv","version":1}},"canonical_sha256":"5d44eb5e8889ea0cc65951f14eb10028de6ad8a1961ca4ab705c91a4ea537f7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d44eb5e8889ea0cc65951f14eb10028de6ad8a1961ca4ab705c91a4ea537f7c","first_computed_at":"2026-07-05T02:19:10.161537Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:19:10.161537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rEcJ6rBqgpQNNO+4sjGRfGYrTz36ehjKs9tU7nBHDvg0nraz2BCNJJPEPSSMRIrwBaLviRs4GkCMqzuI/GlCBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:19:10.161991Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.00832","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:671338195c35b2cbb3e848620450ada7a254a43e082e3ad44ad6aead8c8d9458","sha256:06842fa0378cd8e98e2e99e34c8e29ce79610017280abde3ddc00c9d7001e99a"],"state_sha256":"9febcf8bc63f80de281cd71f6013cd44fdadf0d1ac7c351f581509e3eb9bfed5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L8RCvcdVE4BIQu8u9A2WnZ4v4o+QzHQpsKm/dJTq6rklOXI7kBC6aug5nW5USxZ9Dmd5vu8XNh7o/5TuRRo3Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T02:17:31.323839Z","bundle_sha256":"d3fa663319c807e7b6d816587e93304b6988a0b5b3e4089ba69e6e249c205b1c"}}