{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:I67LXAKHS5KWACXRRISMLBCXWX","short_pith_number":"pith:I67LXAKH","schema_version":"1.0","canonical_sha256":"47bebb81479755600af18a24c58457b5f33e1140e38a8ae5f84c31ff0d8d2790","source":{"kind":"arxiv","id":"2608.08211","version":1},"attestation_state":"computed","paper":{"title":"Retrieval-Augmented Generation-Based Color Restoration for Low-Light Image Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Li-Wei Lu, Shaou-Gang Miaou","submitted_at":"2026-08-08T16:12:12Z","abstract_excerpt":"Recent low-light image enhancement (LLIE) methods have driven brightness and structural fidelity close to that of normally-exposed images, yet their outputs still exhibit systematic color shifts such as greenish skies, yellowish faces, and warm-tinted white objects. We attribute this to end-to-end LLIE training coupling brightness, structure, and color within a single network, leaving the color channels weakly supervised. We recast color restoration as an independent sub-problem and decouple it from brightness enhancement, realizing it as a general-purpose post-processing module built on retri"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.08211","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2026-08-08T16:12:12Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"26b2afc31896959fbf1f236713688e7eb01cc6ce9b4c54759190edf8303e8f19","abstract_canon_sha256":"c44328459075dce45d18236e8204c0ed0bfe8382af75b5bc9c2a9fdeb9b7637e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-11T01:21:59.711594Z","signature_b64":"xAzBKf6ztIF76OL4nFY/RSR0chlYccl4uFBt8AlPNQzrbbGQLC2Zd/YqtllrZVZTwJec5+7iDKOjd88Xb05aBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47bebb81479755600af18a24c58457b5f33e1140e38a8ae5f84c31ff0d8d2790","last_reissued_at":"2026-08-11T01:21:59.709254Z","signature_status":"signed_v1","first_computed_at":"2026-08-11T01:21:59.709254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Retrieval-Augmented Generation-Based Color Restoration for Low-Light Image Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Li-Wei Lu, Shaou-Gang Miaou","submitted_at":"2026-08-08T16:12:12Z","abstract_excerpt":"Recent low-light image enhancement (LLIE) methods have driven brightness and structural fidelity close to that of normally-exposed images, yet their outputs still exhibit systematic color shifts such as greenish skies, yellowish faces, and warm-tinted white objects. We attribute this to end-to-end LLIE training coupling brightness, structure, and color within a single network, leaving the color channels weakly supervised. We recast color restoration as an independent sub-problem and decouple it from brightness enhancement, realizing it as a general-purpose post-processing module built on retri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.08211","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/2608.08211/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.08211","created_at":"2026-08-11T01:21:59.709972+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.08211v1","created_at":"2026-08-11T01:21:59.709972+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.08211","created_at":"2026-08-11T01:21:59.709972+00:00"},{"alias_kind":"pith_short_12","alias_value":"I67LXAKHS5KW","created_at":"2026-08-11T01:21:59.709972+00:00"},{"alias_kind":"pith_short_16","alias_value":"I67LXAKHS5KWACXR","created_at":"2026-08-11T01:21:59.709972+00:00"},{"alias_kind":"pith_short_8","alias_value":"I67LXAKH","created_at":"2026-08-11T01:21:59.709972+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX","json":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX.json","graph_json":"https://pith.science/api/pith-number/I67LXAKHS5KWACXRRISMLBCXWX/graph.json","events_json":"https://pith.science/api/pith-number/I67LXAKHS5KWACXRRISMLBCXWX/events.json","paper":"https://pith.science/paper/I67LXAKH"},"agent_actions":{"view_html":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX","download_json":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX.json","view_paper":"https://pith.science/paper/I67LXAKH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.08211&json=true","fetch_graph":"https://pith.science/api/pith-number/I67LXAKHS5KWACXRRISMLBCXWX/graph.json","fetch_events":"https://pith.science/api/pith-number/I67LXAKHS5KWACXRRISMLBCXWX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX/action/storage_attestation","attest_author":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX/action/author_attestation","sign_citation":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX/action/citation_signature","submit_replication":"https://pith.science/pith/I67LXAKHS5KWACXRRISMLBCXWX/action/replication_record"}},"created_at":"2026-08-11T01:21:59.709972+00:00","updated_at":"2026-08-11T01:21:59.709972+00:00"}