{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2M5JDMJENPAGXL7KAXA4WB6WOG","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":"6dd05165260f03f1f081425bcd66c748bc3d47c4547999658cc8bb98c70128a3","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T01:09:49Z","title_canon_sha256":"9d0fc66ef0c18a4595b07644b976ddb060d931b68ef4dfb7b8b6a19973c47be3"},"schema_version":"1.0","source":{"id":"2501.04210","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.04210","created_at":"2026-07-05T09:58:31Z"},{"alias_kind":"arxiv_version","alias_value":"2501.04210v1","created_at":"2026-07-05T09:58:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.04210","created_at":"2026-07-05T09:58:31Z"},{"alias_kind":"pith_short_12","alias_value":"2M5JDMJENPAG","created_at":"2026-07-05T09:58:31Z"},{"alias_kind":"pith_short_16","alias_value":"2M5JDMJENPAGXL7K","created_at":"2026-07-05T09:58:31Z"},{"alias_kind":"pith_short_8","alias_value":"2M5JDMJE","created_at":"2026-07-05T09:58:31Z"}],"graph_snapshots":[{"event_id":"sha256:5aa080794f56f97caaa2bc4d37c1a6d30abe81a2f1377ffa8a3be6505b524613","target":"graph","created_at":"2026-07-05T09:58:31Z","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/2501.04210/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a novel low-light image enhancement method aimed at improving the performance of recognition models. Despite recent advances in deep learning, the recognition of images under low-light conditions remains a challenge. Although existing low-light image enhancement methods have been developed to improve image visibility for human vision, they do not specifically focus on enhancing recognition model performance. Our proposed low-light image enhancement method consists of two key modules: the Global Enhance Module, which adjusts the overall brightness and color balance of ","authors_text":"Atsushi Ito, Masato Tsukada, Seitaro Ono, Takahiro Toizumi, Yuka Ogino","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T01:09:49Z","title":"Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.04210","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:e0798418eea6bb81937880f40a2ea7df9efed2892f79edc00b3020ff2ec72dfd","target":"record","created_at":"2026-07-05T09:58:31Z","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":"6dd05165260f03f1f081425bcd66c748bc3d47c4547999658cc8bb98c70128a3","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-08T01:09:49Z","title_canon_sha256":"9d0fc66ef0c18a4595b07644b976ddb060d931b68ef4dfb7b8b6a19973c47be3"},"schema_version":"1.0","source":{"id":"2501.04210","kind":"arxiv","version":1}},"canonical_sha256":"d33a91b1246bc06bafea05c1cb07d671b4e91c4897497028fddfe798d3ac3e52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d33a91b1246bc06bafea05c1cb07d671b4e91c4897497028fddfe798d3ac3e52","first_computed_at":"2026-07-05T09:58:31.784047Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:58:31.784047Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MC3ybYsd3FH6J53QMNQTnAf1ciQg43H7A4F+ZiJO46+kG4MfCUjiunPexACd0MlYHOoJvLePh3E/ghAswTauCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:58:31.784471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.04210","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0798418eea6bb81937880f40a2ea7df9efed2892f79edc00b3020ff2ec72dfd","sha256:5aa080794f56f97caaa2bc4d37c1a6d30abe81a2f1377ffa8a3be6505b524613"],"state_sha256":"67dded93c14e69b066a66e401ed16c29b182f997bb751fa4b54e995636910494"}