{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:RBSG3BEEMMVE2JKKKQGEPDI3ON","short_pith_number":"pith:RBSG3BEE","canonical_record":{"source":{"id":"2209.02174","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-06T01:33:38Z","cross_cats_sorted":[],"title_canon_sha256":"5e8b7e3028509a11df96b21880fd0e8fdcf15ae1830f9ebbd6522d774d69def7","abstract_canon_sha256":"d19d3098012fa955e6889e66af9a8683ff4e3e16ab865c6902bb54844063e945"},"schema_version":"1.0"},"canonical_sha256":"88646d8484632a4d254a540c478d1b736e93af32c97dec283fd3771913f7b150","source":{"kind":"arxiv","id":"2209.02174","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.02174","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"arxiv_version","alias_value":"2209.02174v1","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.02174","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"pith_short_12","alias_value":"RBSG3BEEMMVE","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"pith_short_16","alias_value":"RBSG3BEEMMVE2JKK","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"pith_short_8","alias_value":"RBSG3BEE","created_at":"2026-07-05T04:55:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:RBSG3BEEMMVE2JKKKQGEPDI3ON","target":"record","payload":{"canonical_record":{"source":{"id":"2209.02174","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-06T01:33:38Z","cross_cats_sorted":[],"title_canon_sha256":"5e8b7e3028509a11df96b21880fd0e8fdcf15ae1830f9ebbd6522d774d69def7","abstract_canon_sha256":"d19d3098012fa955e6889e66af9a8683ff4e3e16ab865c6902bb54844063e945"},"schema_version":"1.0"},"canonical_sha256":"88646d8484632a4d254a540c478d1b736e93af32c97dec283fd3771913f7b150","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:55:08.067734Z","signature_b64":"52WDffSdmmnGRwUujT/z3FHk/32rRnNn/1HqwvoHaEK7vFHBlf/pzyMNXPlVRq8ydvRJVRGLZlva6pX5Drm7BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88646d8484632a4d254a540c478d1b736e93af32c97dec283fd3771913f7b150","last_reissued_at":"2026-07-05T04:55:08.067328Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:55:08.067328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.02174","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":"2026-07-05T04:55:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P2IUQGWSx62+N46fcED5koEuD3JlVbC86qJOjg71TR/RAG9XW+PcIXPQs/l4qkvqEkFUU2HYlpZarXEWgn9bCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:51:53.711425Z"},"content_sha256":"e91ea2b590867e769c782f6f359c10e12fe40ace14123a0ea15088c4b51894cf","schema_version":"1.0","event_id":"sha256:e91ea2b590867e769c782f6f359c10e12fe40ace14123a0ea15088c4b51894cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:RBSG3BEEMMVE2JKKKQGEPDI3ON","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Zhao, Jie Huang, Naishan Zheng, Qianhao Yu","submitted_at":"2022-09-06T01:33:38Z","abstract_excerpt":"The key to shadow removal is recovering the contents of the shadow regions with the guidance of the non-shadow regions. Due to the inadequate long-range modeling, the CNN-based approaches cannot thoroughly investigate the information from the non-shadow regions. To solve this problem, we propose a novel cleanness-navigated-shadow network (CNSNet), with a shadow-oriented adaptive normalization (SOAN) module and a shadow-aware aggregation with transformer (SAAT) module based on the shadow mask. Under the guidance of the shadow mask, the SOAN module formulates the statistics from the non-shadow r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.02174","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/2209.02174/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":"2026-07-05T04:55:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pG7KmMebpWdGYJCS2ZWi/8/BIef5s7XxbKtQE+KWDofbByUMPiGis79WJPxgeRiK79HLTZT9M4IggtOFRoQ+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:51:53.711799Z"},"content_sha256":"f8c21fa6489bcef84f9a6eefe81fd4bdce28baac0de6149f440a5d38bc172952","schema_version":"1.0","event_id":"sha256:f8c21fa6489bcef84f9a6eefe81fd4bdce28baac0de6149f440a5d38bc172952"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RBSG3BEEMMVE2JKKKQGEPDI3ON/bundle.json","state_url":"https://pith.science/pith/RBSG3BEEMMVE2JKKKQGEPDI3ON/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RBSG3BEEMMVE2JKKKQGEPDI3ON/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":"2026-07-07T03:51:53Z","links":{"resolver":"https://pith.science/pith/RBSG3BEEMMVE2JKKKQGEPDI3ON","bundle":"https://pith.science/pith/RBSG3BEEMMVE2JKKKQGEPDI3ON/bundle.json","state":"https://pith.science/pith/RBSG3BEEMMVE2JKKKQGEPDI3ON/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RBSG3BEEMMVE2JKKKQGEPDI3ON/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RBSG3BEEMMVE2JKKKQGEPDI3ON","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":"d19d3098012fa955e6889e66af9a8683ff4e3e16ab865c6902bb54844063e945","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-06T01:33:38Z","title_canon_sha256":"5e8b7e3028509a11df96b21880fd0e8fdcf15ae1830f9ebbd6522d774d69def7"},"schema_version":"1.0","source":{"id":"2209.02174","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.02174","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"arxiv_version","alias_value":"2209.02174v1","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.02174","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"pith_short_12","alias_value":"RBSG3BEEMMVE","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"pith_short_16","alias_value":"RBSG3BEEMMVE2JKK","created_at":"2026-07-05T04:55:08Z"},{"alias_kind":"pith_short_8","alias_value":"RBSG3BEE","created_at":"2026-07-05T04:55:08Z"}],"graph_snapshots":[{"event_id":"sha256:f8c21fa6489bcef84f9a6eefe81fd4bdce28baac0de6149f440a5d38bc172952","target":"graph","created_at":"2026-07-05T04:55:08Z","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/2209.02174/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The key to shadow removal is recovering the contents of the shadow regions with the guidance of the non-shadow regions. Due to the inadequate long-range modeling, the CNN-based approaches cannot thoroughly investigate the information from the non-shadow regions. To solve this problem, we propose a novel cleanness-navigated-shadow network (CNSNet), with a shadow-oriented adaptive normalization (SOAN) module and a shadow-aware aggregation with transformer (SAAT) module based on the shadow mask. Under the guidance of the shadow mask, the SOAN module formulates the statistics from the non-shadow r","authors_text":"Feng Zhao, Jie Huang, Naishan Zheng, Qianhao Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-06T01:33:38Z","title":"CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.02174","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:e91ea2b590867e769c782f6f359c10e12fe40ace14123a0ea15088c4b51894cf","target":"record","created_at":"2026-07-05T04:55:08Z","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":"d19d3098012fa955e6889e66af9a8683ff4e3e16ab865c6902bb54844063e945","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-06T01:33:38Z","title_canon_sha256":"5e8b7e3028509a11df96b21880fd0e8fdcf15ae1830f9ebbd6522d774d69def7"},"schema_version":"1.0","source":{"id":"2209.02174","kind":"arxiv","version":1}},"canonical_sha256":"88646d8484632a4d254a540c478d1b736e93af32c97dec283fd3771913f7b150","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88646d8484632a4d254a540c478d1b736e93af32c97dec283fd3771913f7b150","first_computed_at":"2026-07-05T04:55:08.067328Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:55:08.067328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"52WDffSdmmnGRwUujT/z3FHk/32rRnNn/1HqwvoHaEK7vFHBlf/pzyMNXPlVRq8ydvRJVRGLZlva6pX5Drm7BA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:55:08.067734Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.02174","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e91ea2b590867e769c782f6f359c10e12fe40ace14123a0ea15088c4b51894cf","sha256:f8c21fa6489bcef84f9a6eefe81fd4bdce28baac0de6149f440a5d38bc172952"],"state_sha256":"2815b76d737cbb4df41e3354d3733e4825a20162676e3b0c8d9df985b3695cf5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WlBRILnZFuiZosZX9V1WtGZT3ZEMGXK8Mflu+mAx8q4AfrKrpsKlcD++qDdQVIMIcNXvhvtlSaeWSjBlqzXxDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T03:51:53.713899Z","bundle_sha256":"deebf9ebbd00983e0d0c9d75dcdc47ae6f8a0935d26e3672d907a188ddb9ae23"}}