{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:6MDVPCPT3AOY2OOQA6ZMRXPBNU","short_pith_number":"pith:6MDVPCPT","canonical_record":{"source":{"id":"2012.05609","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T11:51:23Z","cross_cats_sorted":[],"title_canon_sha256":"455112ba265a22a9891ead501de40bea2c3dc9b99cdc68cf4921603a285c4c66","abstract_canon_sha256":"d4df700518527d182cbb4d2cdfbb7e208c9d0b88856818968c423f9480faadd6"},"schema_version":"1.0"},"canonical_sha256":"f3075789f3d81d8d39d007b2c8dde16d1b0054fce4cfff9a55d0498a6eb137f7","source":{"kind":"arxiv","id":"2012.05609","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.05609","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"arxiv_version","alias_value":"2012.05609v1","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.05609","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"pith_short_12","alias_value":"6MDVPCPT3AOY","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"pith_short_16","alias_value":"6MDVPCPT3AOY2OOQ","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"pith_short_8","alias_value":"6MDVPCPT","created_at":"2026-07-05T01:58:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:6MDVPCPT3AOY2OOQA6ZMRXPBNU","target":"record","payload":{"canonical_record":{"source":{"id":"2012.05609","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T11:51:23Z","cross_cats_sorted":[],"title_canon_sha256":"455112ba265a22a9891ead501de40bea2c3dc9b99cdc68cf4921603a285c4c66","abstract_canon_sha256":"d4df700518527d182cbb4d2cdfbb7e208c9d0b88856818968c423f9480faadd6"},"schema_version":"1.0"},"canonical_sha256":"f3075789f3d81d8d39d007b2c8dde16d1b0054fce4cfff9a55d0498a6eb137f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:58:35.377681Z","signature_b64":"0h2oxOJuQb6TnBDE8OpkDvcPS6r8jclUZKXoDrtM+hv1ahTuzTblsFt6jspToiPPYEJ1lrS/CJ4zRdI9kvu4Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3075789f3d81d8d39d007b2c8dde16d1b0054fce4cfff9a55d0498a6eb137f7","last_reissued_at":"2026-07-05T01:58:35.377213Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:58:35.377213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.05609","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":"2026-07-05T01:58:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"huwkZCUTnVjtMdV4f9Oksl6t1tQzx/vNPz0CUcILQuEXYd00EES174fowQ7TdcHg1rycQeJWAeJtDdt3m+agDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T22:05:08.250530Z"},"content_sha256":"aa0c7fc8f0464d165b7dbe6173dec30040ea2787595714106a302a9fcf2cbb3b","schema_version":"1.0","event_id":"sha256:aa0c7fc8f0464d165b7dbe6173dec30040ea2787595714106a302a9fcf2cbb3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:6MDVPCPT3AOY2OOQA6ZMRXPBNU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiaao Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo","submitted_at":"2020-12-10T11:51:23Z","abstract_excerpt":"Low-light image enhancement plays very important roles in low-level vision field. Recent works have built a large variety of deep learning models to address this task. However, these approaches mostly rely on significant architecture engineering and suffer from high computational burden. In this paper, we propose a new method, named Retinex-inspired Unrolling with Architecture Search (RUAS), to construct lightweight yet effective enhancement network for low-light images in real-world scenario. Specifically, building upon Retinex rule, RUAS first establishes models to characterize the intrinsic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.05609","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/2012.05609/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":"2026-07-05T01:58:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aI28cy4ZpoxxpBTkOhnc6gZvwlvL3swFNsTMFgtbRXWT/O22CGAo4DNuld3Pta7f7IYfssvrY9V9Oz8XnlEBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T22:05:08.250901Z"},"content_sha256":"24647b302a4a636cb329ba7d66548cf759793240d74bfb5ab8b2add8c627b5c1","schema_version":"1.0","event_id":"sha256:24647b302a4a636cb329ba7d66548cf759793240d74bfb5ab8b2add8c627b5c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6MDVPCPT3AOY2OOQA6ZMRXPBNU/bundle.json","state_url":"https://pith.science/pith/6MDVPCPT3AOY2OOQA6ZMRXPBNU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6MDVPCPT3AOY2OOQA6ZMRXPBNU/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":"2026-07-19T22:05:08Z","links":{"resolver":"https://pith.science/pith/6MDVPCPT3AOY2OOQA6ZMRXPBNU","bundle":"https://pith.science/pith/6MDVPCPT3AOY2OOQA6ZMRXPBNU/bundle.json","state":"https://pith.science/pith/6MDVPCPT3AOY2OOQA6ZMRXPBNU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6MDVPCPT3AOY2OOQA6ZMRXPBNU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:6MDVPCPT3AOY2OOQA6ZMRXPBNU","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":"d4df700518527d182cbb4d2cdfbb7e208c9d0b88856818968c423f9480faadd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T11:51:23Z","title_canon_sha256":"455112ba265a22a9891ead501de40bea2c3dc9b99cdc68cf4921603a285c4c66"},"schema_version":"1.0","source":{"id":"2012.05609","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.05609","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"arxiv_version","alias_value":"2012.05609v1","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.05609","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"pith_short_12","alias_value":"6MDVPCPT3AOY","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"pith_short_16","alias_value":"6MDVPCPT3AOY2OOQ","created_at":"2026-07-05T01:58:35Z"},{"alias_kind":"pith_short_8","alias_value":"6MDVPCPT","created_at":"2026-07-05T01:58:35Z"}],"graph_snapshots":[{"event_id":"sha256:24647b302a4a636cb329ba7d66548cf759793240d74bfb5ab8b2add8c627b5c1","target":"graph","created_at":"2026-07-05T01:58:35Z","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/2012.05609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-light image enhancement plays very important roles in low-level vision field. Recent works have built a large variety of deep learning models to address this task. However, these approaches mostly rely on significant architecture engineering and suffer from high computational burden. In this paper, we propose a new method, named Retinex-inspired Unrolling with Architecture Search (RUAS), to construct lightweight yet effective enhancement network for low-light images in real-world scenario. Specifically, building upon Retinex rule, RUAS first establishes models to characterize the intrinsic","authors_text":"Jiaao Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T11:51:23Z","title":"Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.05609","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:aa0c7fc8f0464d165b7dbe6173dec30040ea2787595714106a302a9fcf2cbb3b","target":"record","created_at":"2026-07-05T01:58:35Z","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":"d4df700518527d182cbb4d2cdfbb7e208c9d0b88856818968c423f9480faadd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-10T11:51:23Z","title_canon_sha256":"455112ba265a22a9891ead501de40bea2c3dc9b99cdc68cf4921603a285c4c66"},"schema_version":"1.0","source":{"id":"2012.05609","kind":"arxiv","version":1}},"canonical_sha256":"f3075789f3d81d8d39d007b2c8dde16d1b0054fce4cfff9a55d0498a6eb137f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3075789f3d81d8d39d007b2c8dde16d1b0054fce4cfff9a55d0498a6eb137f7","first_computed_at":"2026-07-05T01:58:35.377213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:58:35.377213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0h2oxOJuQb6TnBDE8OpkDvcPS6r8jclUZKXoDrtM+hv1ahTuzTblsFt6jspToiPPYEJ1lrS/CJ4zRdI9kvu4Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:58:35.377681Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.05609","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa0c7fc8f0464d165b7dbe6173dec30040ea2787595714106a302a9fcf2cbb3b","sha256:24647b302a4a636cb329ba7d66548cf759793240d74bfb5ab8b2add8c627b5c1"],"state_sha256":"ff2545773e9c90dd6b33ae222d080f5a6fe4a0529c553320263c7c533c20b398"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N6/LJKQlqYwMrLQE23NvF8bUJYz3Z/fb4GeQ9s5w9SYVeyeTe+FwtfwP2h1cdLkFAIcXT1luCCwY3HG6yrWSDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T22:05:08.252964Z","bundle_sha256":"93ce65af639ce8b357138e161378ab9184a8648d6c07e5ef97304cb1911cfc5a"}}