{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:QIGE2OYMVEZG4PCFUMVLFNGT2C","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":"1c86857be800c7cddcf85615b99d5bdb8704ed187e43b06852e839fd001de0e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T09:21:51Z","title_canon_sha256":"ec2d2ea63ea394bd9bceb7a4a860e94999eea9a3d4a55825743ebdd78c377d73"},"schema_version":"1.0","source":{"id":"2103.00860","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.00860","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"arxiv_version","alias_value":"2103.00860v1","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.00860","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_12","alias_value":"QIGE2OYMVEZG","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_16","alias_value":"QIGE2OYMVEZG4PCF","created_at":"2026-07-05T02:19:10Z"},{"alias_kind":"pith_short_8","alias_value":"QIGE2OYM","created_at":"2026-07-05T02:19:10Z"}],"graph_snapshots":[{"event_id":"sha256:8198547f8223bf90a8a44dd7cea9041e4ec7c6b3d4806157f6889adc803e4241","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/2103.00860/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network. Our method trains a lightweight deep network, DCE-Net, to estimate pixel-wise and high-order curves for dynamic range adjustment of a given image. The curve estimation is specially designed, considering pixel value range, monotonicity, and differentiability. Zero-DCE is appealing in its relaxed assumption on reference images, i.e., it does not require any paired or even unpaired data during training. This is ac","authors_text":"Chen Change Loy, Chongyi Li, Chunle Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T09:21:51Z","title":"Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.00860","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":"sha256:16e482fd8155833f16cfa6f0e04f2b2b9bdb868d8a126d743461215aa00f98dd","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":"1c86857be800c7cddcf85615b99d5bdb8704ed187e43b06852e839fd001de0e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-01T09:21:51Z","title_canon_sha256":"ec2d2ea63ea394bd9bceb7a4a860e94999eea9a3d4a55825743ebdd78c377d73"},"schema_version":"1.0","source":{"id":"2103.00860","kind":"arxiv","version":1}},"canonical_sha256":"820c4d3b0ca9326e3c45a32ab2b4d3d08d52a19d445907fba3287cfc60e5a9dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"820c4d3b0ca9326e3c45a32ab2b4d3d08d52a19d445907fba3287cfc60e5a9dc","first_computed_at":"2026-07-05T02:19:10.393023Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:19:10.393023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I+Dtk8/sTcp3caFN0g1Lfz9CIzLGEwoQniK337jWE9KEPKE4PKOCRutTalpjeliS97iblNdYZeT50WOCDc7dCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:19:10.393456Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.00860","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16e482fd8155833f16cfa6f0e04f2b2b9bdb868d8a126d743461215aa00f98dd","sha256:8198547f8223bf90a8a44dd7cea9041e4ec7c6b3d4806157f6889adc803e4241"],"state_sha256":"e9330a0ed6014cf37e8cbdcf038f4c11ed11ca9b0328cb8a9d15430bb6b854a3"}