{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6JY35CPJBEE7CZCK2WQSXFDZX7","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":"670bd3a2a427f54e3b717efd84157290a5d237f47d1c22f2a9048deceaf6d308","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T12:46:15Z","title_canon_sha256":"e70ab2dc7b74c497fc3b0c5437331d97c3f5943b27edcfdc0e066ee836e14163"},"schema_version":"1.0","source":{"id":"2607.05005","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.05005","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.05005v1","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.05005","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_12","alias_value":"6JY35CPJBEE7","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_16","alias_value":"6JY35CPJBEE7CZCK","created_at":"2026-07-07T02:20:17Z"},{"alias_kind":"pith_short_8","alias_value":"6JY35CPJ","created_at":"2026-07-07T02:20:17Z"}],"graph_snapshots":[{"event_id":"sha256:99bb8bc37fe7d9ec5cdac2e45664a9f2d7a44b82331efac90877bbf65c1002fa","target":"graph","created_at":"2026-07-07T02:20:17Z","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/2607.05005/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-light degradation reduces image visibility and weakens structural cues that are important for visual representation and scene understanding. Existing low-light image enhancement methods mainly focus on appearance restoration, while insufficiently exploiting scene geometry to preserve structural consistency. To address this limitation, this paper proposes a Depth-guided Multi-scale Attention Network (DMSA-Net) for geometry-aware low-light image enhancement. DMSA-Net introduces depth-related structural priors into low-light representation learning through reflectance-geometry interaction. A ","authors_text":"Cheng Wu, Fang Gao, Hanbo Zheng, Jiabao Wang, Jingfeng Tang, Jiongkai Qin, Ming Cheng, Qingbao Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T12:46:15Z","title":"Geometry-aware Depth-guided Representation Learning for Structure-preserving Low-light Image Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.05005","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:d1d4e55d4a386e88f5a33152c97f7110cddb3a4452a4c17a3f724afd682811ec","target":"record","created_at":"2026-07-07T02:20:17Z","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":"670bd3a2a427f54e3b717efd84157290a5d237f47d1c22f2a9048deceaf6d308","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-06T12:46:15Z","title_canon_sha256":"e70ab2dc7b74c497fc3b0c5437331d97c3f5943b27edcfdc0e066ee836e14163"},"schema_version":"1.0","source":{"id":"2607.05005","kind":"arxiv","version":1}},"canonical_sha256":"f271be89e90909f1644ad5a12b9479bfd4491fdab498613f1c58c3152355f0a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f271be89e90909f1644ad5a12b9479bfd4491fdab498613f1c58c3152355f0a4","first_computed_at":"2026-07-07T02:20:17.970748Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:20:17.970748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dKDWS6tM1PN7q8fousBcEmjusQ+8lJYV9Xm74ZnocZm1MCJIYItGZNAQWeeT62vlCHXQnIcdHd18HJOmv1WtCQ==","signature_status":"signed_v1","signed_at":"2026-07-07T02:20:17.971549Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.05005","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1d4e55d4a386e88f5a33152c97f7110cddb3a4452a4c17a3f724afd682811ec","sha256:99bb8bc37fe7d9ec5cdac2e45664a9f2d7a44b82331efac90877bbf65c1002fa"],"state_sha256":"de4526cde3353963cc0a8f71fbf60f1ede930b81a8a8134c705dd88cb1b81beb"}