{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ZT6TKX6KHMV5VN4LCQSPC5GVUM","short_pith_number":"pith:ZT6TKX6K","canonical_record":{"source":{"id":"2010.01291","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-03T06:55:26Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"33c860e4a9f03abb6b2df2d56cbab89cea31e917b89a4b37d7ef944b49f139a8","abstract_canon_sha256":"c32ec85db18dede4eccdb0473ccd68c31af7bd6a099f9e42d2536d4920eee8db"},"schema_version":"1.0"},"canonical_sha256":"ccfd355fca3b2bdab78b1424f174d5a31b26e7bab4f6bd245397748114088d5e","source":{"kind":"arxiv","id":"2010.01291","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.01291","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"arxiv_version","alias_value":"2010.01291v2","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.01291","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZT6TKX6KHMV5","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZT6TKX6KHMV5VN4L","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZT6TKX6K","created_at":"2026-07-05T02:44:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ZT6TKX6KHMV5VN4LCQSPC5GVUM","target":"record","payload":{"canonical_record":{"source":{"id":"2010.01291","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-03T06:55:26Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"33c860e4a9f03abb6b2df2d56cbab89cea31e917b89a4b37d7ef944b49f139a8","abstract_canon_sha256":"c32ec85db18dede4eccdb0473ccd68c31af7bd6a099f9e42d2536d4920eee8db"},"schema_version":"1.0"},"canonical_sha256":"ccfd355fca3b2bdab78b1424f174d5a31b26e7bab4f6bd245397748114088d5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:44:16.107359Z","signature_b64":"dgUB9Hf71QnVErpYQU/1r3ySb3aosi+J5wMt5dPACuC0qnz3ZHsprJx/d0ZVT8qolf6CPhzpPsQd8J+H/0HMDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ccfd355fca3b2bdab78b1424f174d5a31b26e7bab4f6bd245397748114088d5e","last_reissued_at":"2026-07-05T02:44:16.107000Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:44:16.107000Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.01291","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:44:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M/ezTiD5MFktfJrvWdQdL5PZujJUd5wZyKcc6EwLT4liGPuCXnCT9T0slOYBYfWC8DUAy/d7mkFfF1b8nek0CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:22:39.838581Z"},"content_sha256":"52a781e57f8e45258495265dc68e29be5f116589552300a0ac5c899f47b8fdd9","schema_version":"1.0","event_id":"sha256:52a781e57f8e45258495265dc68e29be5f116589552300a0ac5c899f47b8fdd9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ZT6TKX6KHMV5VN4LCQSPC5GVUM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Chao Tan, Xin Feng","submitted_at":"2020-10-03T06:55:26Z","abstract_excerpt":"Unsupervised shadow removal aims to learn a non-linear function to map the original image from shadow domain to non-shadow domain in the absence of paired shadow and non-shadow data. In this paper, we develop a simple yet efficient target-consistency generative adversarial network (TC-GAN) for the shadow removal task in the unsupervised manner. Compared with the bidirectional mapping in cycle-consistency GAN based methods for shadow removal, TC-GAN tries to learn a one-sided mapping to cast shadow images into shadow-free ones. With the proposed target-consistency constraint, the correlations b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.01291","kind":"arxiv","version":2},"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/2010.01291/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":"2026-07-05T02:44:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rW7xnIRBRO/9BimEAI04tncrZ6XESBjkOCodDvAKqTyhSjIqcCPzPHXItRPoRjI+tQTclWDAkr1LanMDOENaBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:22:39.839089Z"},"content_sha256":"c2ed1b67a3c844231f96c50dc7e76674fdbfabde4cefcb2cb86455ff1c0a893f","schema_version":"1.0","event_id":"sha256:c2ed1b67a3c844231f96c50dc7e76674fdbfabde4cefcb2cb86455ff1c0a893f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZT6TKX6KHMV5VN4LCQSPC5GVUM/bundle.json","state_url":"https://pith.science/pith/ZT6TKX6KHMV5VN4LCQSPC5GVUM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZT6TKX6KHMV5VN4LCQSPC5GVUM/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":"2026-08-09T20:22:39Z","links":{"resolver":"https://pith.science/pith/ZT6TKX6KHMV5VN4LCQSPC5GVUM","bundle":"https://pith.science/pith/ZT6TKX6KHMV5VN4LCQSPC5GVUM/bundle.json","state":"https://pith.science/pith/ZT6TKX6KHMV5VN4LCQSPC5GVUM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZT6TKX6KHMV5VN4LCQSPC5GVUM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZT6TKX6KHMV5VN4LCQSPC5GVUM","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":"c32ec85db18dede4eccdb0473ccd68c31af7bd6a099f9e42d2536d4920eee8db","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-03T06:55:26Z","title_canon_sha256":"33c860e4a9f03abb6b2df2d56cbab89cea31e917b89a4b37d7ef944b49f139a8"},"schema_version":"1.0","source":{"id":"2010.01291","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.01291","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"arxiv_version","alias_value":"2010.01291v2","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.01291","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZT6TKX6KHMV5","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZT6TKX6KHMV5VN4L","created_at":"2026-07-05T02:44:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZT6TKX6K","created_at":"2026-07-05T02:44:16Z"}],"graph_snapshots":[{"event_id":"sha256:c2ed1b67a3c844231f96c50dc7e76674fdbfabde4cefcb2cb86455ff1c0a893f","target":"graph","created_at":"2026-07-05T02:44:16Z","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/2010.01291/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised shadow removal aims to learn a non-linear function to map the original image from shadow domain to non-shadow domain in the absence of paired shadow and non-shadow data. In this paper, we develop a simple yet efficient target-consistency generative adversarial network (TC-GAN) for the shadow removal task in the unsupervised manner. Compared with the bidirectional mapping in cycle-consistency GAN based methods for shadow removal, TC-GAN tries to learn a one-sided mapping to cast shadow images into shadow-free ones. With the proposed target-consistency constraint, the correlations b","authors_text":"Chao Tan, Xin Feng","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-03T06:55:26Z","title":"Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.01291","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":"sha256:52a781e57f8e45258495265dc68e29be5f116589552300a0ac5c899f47b8fdd9","target":"record","created_at":"2026-07-05T02:44:16Z","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":"c32ec85db18dede4eccdb0473ccd68c31af7bd6a099f9e42d2536d4920eee8db","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-03T06:55:26Z","title_canon_sha256":"33c860e4a9f03abb6b2df2d56cbab89cea31e917b89a4b37d7ef944b49f139a8"},"schema_version":"1.0","source":{"id":"2010.01291","kind":"arxiv","version":2}},"canonical_sha256":"ccfd355fca3b2bdab78b1424f174d5a31b26e7bab4f6bd245397748114088d5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ccfd355fca3b2bdab78b1424f174d5a31b26e7bab4f6bd245397748114088d5e","first_computed_at":"2026-07-05T02:44:16.107000Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:44:16.107000Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dgUB9Hf71QnVErpYQU/1r3ySb3aosi+J5wMt5dPACuC0qnz3ZHsprJx/d0ZVT8qolf6CPhzpPsQd8J+H/0HMDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:44:16.107359Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.01291","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:52a781e57f8e45258495265dc68e29be5f116589552300a0ac5c899f47b8fdd9","sha256:c2ed1b67a3c844231f96c50dc7e76674fdbfabde4cefcb2cb86455ff1c0a893f"],"state_sha256":"e4f697f31b3605a48936094c2bb6f9075d267d62627f873c670fdaed7c05f451"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HO0+rpD/Alr7rlv+zyA8s7A4xOSkUQdCev54DNFsy/Jpt8eOttHZHBRQD8aMdUX4YuvG+gMDNU1KSyIREVNhBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:22:39.843766Z","bundle_sha256":"b591f20bb9c426de2cb515128386ca90098651ad28b2aa79456200627d70fd9d"}}