{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QZTOWNKNL75Z7G3GTNQ7XRBO5R","short_pith_number":"pith:QZTOWNKN","canonical_record":{"source":{"id":"2212.12116","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-23T03:00:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"89fc6a8c1a20e680a977fb3917f07eaea0124d4c722e8253cb05743b26c07a4c","abstract_canon_sha256":"4776cea95778d1b0ddc1d94fc3196b07d866a887b2bd4c816e60911e0c28b7a3"},"schema_version":"1.0"},"canonical_sha256":"8666eb354d5ffb9f9b669b61fbc42eec776e4b46d64f67da8ca9c87a7a475874","source":{"kind":"arxiv","id":"2212.12116","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.12116","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"arxiv_version","alias_value":"2212.12116v1","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.12116","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"pith_short_12","alias_value":"QZTOWNKNL75Z","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"pith_short_16","alias_value":"QZTOWNKNL75Z7G3G","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"pith_short_8","alias_value":"QZTOWNKN","created_at":"2026-07-05T05:27:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QZTOWNKNL75Z7G3GTNQ7XRBO5R","target":"record","payload":{"canonical_record":{"source":{"id":"2212.12116","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-23T03:00:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"89fc6a8c1a20e680a977fb3917f07eaea0124d4c722e8253cb05743b26c07a4c","abstract_canon_sha256":"4776cea95778d1b0ddc1d94fc3196b07d866a887b2bd4c816e60911e0c28b7a3"},"schema_version":"1.0"},"canonical_sha256":"8666eb354d5ffb9f9b669b61fbc42eec776e4b46d64f67da8ca9c87a7a475874","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:27:51.612119Z","signature_b64":"xzIq3HSjN6npp5Ro5ZfsQpt7yc/8wiSMxaW0Qr7cZr1B2ck+ebPQkrM0JEcxDeq4uW1KKInUuCtk1FnkPUEWCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8666eb354d5ffb9f9b669b61fbc42eec776e4b46d64f67da8ca9c87a7a475874","last_reissued_at":"2026-07-05T05:27:51.611739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:27:51.611739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.12116","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":"2026-07-05T05:27:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mntTf44ov17BMSxp9C5eTi8XENCXukNI5iTs0X/LFyZkwhMXpFI+cjLXYb08M6Nv4G6jLn+M6GIys5P+CF+mBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:58:05.266294Z"},"content_sha256":"1c69bbfc9b7ab9e3537f33c21e70daa07dd7b52725d85afc03927e53b0a9acea","schema_version":"1.0","event_id":"sha256:1c69bbfc9b7ab9e3537f33c21e70daa07dd7b52725d85afc03927e53b0a9acea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QZTOWNKNL75Z7G3GTNQ7XRBO5R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chaofeng Li, Shaopeng Shang, Wenqi Ren, Wenwu Wang, Xiao-Jun Wu, Yaozong Mo","submitted_at":"2022-12-23T03:00:28Z","abstract_excerpt":"Deep learning-based methods have achieved significant performance for image defogging. However, existing methods are mainly developed for land scenes and perform poorly when dealing with overwater foggy images, since overwater scenes typically contain large expanses of sky and water. In this work, we propose a Prior map Guided CycleGAN (PG-CycleGAN) for defogging of images with overwater scenes. To promote the recovery of the objects on water in the image, two loss functions are exploited for the network where a prior map is designed to invert the dark channel and the min-max normalization is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.12116","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/2212.12116/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":"2026-07-05T05:27:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bUBX44mmlVd3t3Kp9DOroJ3Wv7chslJSHjGoREMW6OnGjY3sKSkecoLw5pv9ZmnL06TQErR8EbqX6If1zsdRCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:58:05.267291Z"},"content_sha256":"ab02bcef1146434df901820ff057be6c72cdb9e36fe9bda53f5674e53384c89b","schema_version":"1.0","event_id":"sha256:ab02bcef1146434df901820ff057be6c72cdb9e36fe9bda53f5674e53384c89b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QZTOWNKNL75Z7G3GTNQ7XRBO5R/bundle.json","state_url":"https://pith.science/pith/QZTOWNKNL75Z7G3GTNQ7XRBO5R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QZTOWNKNL75Z7G3GTNQ7XRBO5R/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":"2026-08-18T18:58:05Z","links":{"resolver":"https://pith.science/pith/QZTOWNKNL75Z7G3GTNQ7XRBO5R","bundle":"https://pith.science/pith/QZTOWNKNL75Z7G3GTNQ7XRBO5R/bundle.json","state":"https://pith.science/pith/QZTOWNKNL75Z7G3GTNQ7XRBO5R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QZTOWNKNL75Z7G3GTNQ7XRBO5R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QZTOWNKNL75Z7G3GTNQ7XRBO5R","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":"4776cea95778d1b0ddc1d94fc3196b07d866a887b2bd4c816e60911e0c28b7a3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-23T03:00:28Z","title_canon_sha256":"89fc6a8c1a20e680a977fb3917f07eaea0124d4c722e8253cb05743b26c07a4c"},"schema_version":"1.0","source":{"id":"2212.12116","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.12116","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"arxiv_version","alias_value":"2212.12116v1","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.12116","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"pith_short_12","alias_value":"QZTOWNKNL75Z","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"pith_short_16","alias_value":"QZTOWNKNL75Z7G3G","created_at":"2026-07-05T05:27:51Z"},{"alias_kind":"pith_short_8","alias_value":"QZTOWNKN","created_at":"2026-07-05T05:27:51Z"}],"graph_snapshots":[{"event_id":"sha256:ab02bcef1146434df901820ff057be6c72cdb9e36fe9bda53f5674e53384c89b","target":"graph","created_at":"2026-07-05T05:27:51Z","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/2212.12116/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based methods have achieved significant performance for image defogging. However, existing methods are mainly developed for land scenes and perform poorly when dealing with overwater foggy images, since overwater scenes typically contain large expanses of sky and water. In this work, we propose a Prior map Guided CycleGAN (PG-CycleGAN) for defogging of images with overwater scenes. To promote the recovery of the objects on water in the image, two loss functions are exploited for the network where a prior map is designed to invert the dark channel and the min-max normalization is ","authors_text":"Chaofeng Li, Shaopeng Shang, Wenqi Ren, Wenwu Wang, Xiao-Jun Wu, Yaozong Mo","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-23T03:00:28Z","title":"Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.12116","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":"sha256:1c69bbfc9b7ab9e3537f33c21e70daa07dd7b52725d85afc03927e53b0a9acea","target":"record","created_at":"2026-07-05T05:27:51Z","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":"4776cea95778d1b0ddc1d94fc3196b07d866a887b2bd4c816e60911e0c28b7a3","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-12-23T03:00:28Z","title_canon_sha256":"89fc6a8c1a20e680a977fb3917f07eaea0124d4c722e8253cb05743b26c07a4c"},"schema_version":"1.0","source":{"id":"2212.12116","kind":"arxiv","version":1}},"canonical_sha256":"8666eb354d5ffb9f9b669b61fbc42eec776e4b46d64f67da8ca9c87a7a475874","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8666eb354d5ffb9f9b669b61fbc42eec776e4b46d64f67da8ca9c87a7a475874","first_computed_at":"2026-07-05T05:27:51.611739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:27:51.611739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xzIq3HSjN6npp5Ro5ZfsQpt7yc/8wiSMxaW0Qr7cZr1B2ck+ebPQkrM0JEcxDeq4uW1KKInUuCtk1FnkPUEWCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:27:51.612119Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.12116","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c69bbfc9b7ab9e3537f33c21e70daa07dd7b52725d85afc03927e53b0a9acea","sha256:ab02bcef1146434df901820ff057be6c72cdb9e36fe9bda53f5674e53384c89b"],"state_sha256":"d9bbaa5e882e1dbf1fe21c1d5cf4d34001e362ec4e033d809417403b975b046d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fdsZja1rWI6Z/VO64elyOsWovU8l4/ExTikFrLwAxrjlHayBRosz5gYObT0/MKjtqyPAVBKr9jjb+r45D1fGBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T18:58:05.285290Z","bundle_sha256":"e56b79bea021ed554ef3d93880a0113031af2991c5d0826ad4e281330b79eb51"}}