{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IO3PPL6XRDY4BSRX77L6KTPCR5","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":"3dcc5f8e7a3b238478c7795dfe33af67e2da1764b92394df43455bba12019b28","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-11T20:58:38Z","title_canon_sha256":"892fb07a21171a97f5170ead7cb7ba79b5c4f9e6a14810927bda6f82b440fb86"},"schema_version":"1.0","source":{"id":"2407.08865","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.08865","created_at":"2026-07-05T09:15:34Z"},{"alias_kind":"arxiv_version","alias_value":"2407.08865v2","created_at":"2026-07-05T09:15:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.08865","created_at":"2026-07-05T09:15:34Z"},{"alias_kind":"pith_short_12","alias_value":"IO3PPL6XRDY4","created_at":"2026-07-05T09:15:34Z"},{"alias_kind":"pith_short_16","alias_value":"IO3PPL6XRDY4BSRX","created_at":"2026-07-05T09:15:34Z"},{"alias_kind":"pith_short_8","alias_value":"IO3PPL6X","created_at":"2026-07-05T09:15:34Z"}],"graph_snapshots":[{"event_id":"sha256:7f5fa0a1e41fe09c528ddf3733023e6b093c7366d47eeb7979bbf9c230fdffa7","target":"graph","created_at":"2026-07-05T09:15:34Z","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/2407.08865/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Shadow removal aims at restoring the image content within shadow regions, pursuing a uniform distribution of illumination that is consistent between shadow and non-shadow regions. {Comparing to other image restoration tasks, there are two unique challenges in shadow removal:} 1) The patterns of shadows are arbitrary, varied, and often have highly complex trace structures, making ``trace-less'' image recovery difficult. 2) The degradation caused by shadows is spatially non-uniform, resulting in inconsistencies in illumination and color between shadow and non-shadow areas. Recent developments in","authors_text":"Alex C. Kot, Bihan Wen, Chong Wang, Laniqng Guo, Siyu Huang, Wenhan Yang, Yi Yu, Yufei Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-11T20:58:38Z","title":"Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.08865","kind":"arxiv","version":2},"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:b8284aab4edaa3925f9df3ad6205fd13779eb7628fe9529b1f1251df4422cec4","target":"record","created_at":"2026-07-05T09:15:34Z","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":"3dcc5f8e7a3b238478c7795dfe33af67e2da1764b92394df43455bba12019b28","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-11T20:58:38Z","title_canon_sha256":"892fb07a21171a97f5170ead7cb7ba79b5c4f9e6a14810927bda6f82b440fb86"},"schema_version":"1.0","source":{"id":"2407.08865","kind":"arxiv","version":2}},"canonical_sha256":"43b6f7afd788f1c0ca37ffd7e54de28f500b7a6182226711164f001abd94e654","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43b6f7afd788f1c0ca37ffd7e54de28f500b7a6182226711164f001abd94e654","first_computed_at":"2026-07-05T09:15:34.893467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:34.893467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c41hNn+lgILqSwwXL5ww451Huh2f0+kkfqGbpEPSo9RD58pT56PkH3Y5hJAVlS+D50ZK5bnkKeNB3YhaiWkACQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:34.893986Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.08865","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8284aab4edaa3925f9df3ad6205fd13779eb7628fe9529b1f1251df4422cec4","sha256:7f5fa0a1e41fe09c528ddf3733023e6b093c7366d47eeb7979bbf9c230fdffa7"],"state_sha256":"e12536f5250df0aba3f918dc3819a2a6ce474823473511e7b9d622f7e1a37f60"}