{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:CSSXOO7AF5TNCTCW22VVTAVXKQ","short_pith_number":"pith:CSSXOO7A","schema_version":"1.0","canonical_sha256":"14a5773be02f66d14c56d6ab5982b75425992eb192b783f94985f9371a2d6d41","source":{"kind":"arxiv","id":"2203.15325","version":1},"attestation_state":"computed","paper":{"title":"Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"De Cheng, Dingwen Zhang, Jiande Sun, Nannan Wang, Xinbo Gao, Yan Li","submitted_at":"2022-03-29T08:11:04Z","abstract_excerpt":"Single image dehazing as a fundamental low-level vision task, is essential for the development of robust intelligent surveillance system. In this paper, we make an early effort to consider dehazing robustness under variational haze density, which is a realistic while under-studied problem in the research filed of singe image dehazing. To properly address this problem, we propose a novel density-variational learning framework to improve the robustness of the image dehzing model assisted by a variety of negative hazy images, to better deal with various complex hazy scenarios. Specifically, the d"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2203.15325","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-29T08:11:04Z","cross_cats_sorted":[],"title_canon_sha256":"fbee6db936a0a11852fe0dced36010b967c37f0f7f1f2eea50a924e1e2fe18d2","abstract_canon_sha256":"ce1f7a302e51300e67e3ba5c3a303e02513dea8bcff25c3854e1de9982f55f17"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:24.093871Z","signature_b64":"fZO+f/Cp8k9l79ne/lXPNmtezDM4zivykyhjsKOLwX0tu5LiwcJXf7kEL40gep21vN+f2nL6nUfSJaiIDGwlDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14a5773be02f66d14c56d6ab5982b75425992eb192b783f94985f9371a2d6d41","last_reissued_at":"2026-07-05T04:09:24.093509Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:24.093509Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"De Cheng, Dingwen Zhang, Jiande Sun, Nannan Wang, Xinbo Gao, Yan Li","submitted_at":"2022-03-29T08:11:04Z","abstract_excerpt":"Single image dehazing as a fundamental low-level vision task, is essential for the development of robust intelligent surveillance system. In this paper, we make an early effort to consider dehazing robustness under variational haze density, which is a realistic while under-studied problem in the research filed of singe image dehazing. To properly address this problem, we propose a novel density-variational learning framework to improve the robustness of the image dehzing model assisted by a variety of negative hazy images, to better deal with various complex hazy scenarios. Specifically, the d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.15325","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/2203.15325/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2203.15325","created_at":"2026-07-05T04:09:24.093571+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.15325v1","created_at":"2026-07-05T04:09:24.093571+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.15325","created_at":"2026-07-05T04:09:24.093571+00:00"},{"alias_kind":"pith_short_12","alias_value":"CSSXOO7AF5TN","created_at":"2026-07-05T04:09:24.093571+00:00"},{"alias_kind":"pith_short_16","alias_value":"CSSXOO7AF5TNCTCW","created_at":"2026-07-05T04:09:24.093571+00:00"},{"alias_kind":"pith_short_8","alias_value":"CSSXOO7A","created_at":"2026-07-05T04:09:24.093571+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ","json":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ.json","graph_json":"https://pith.science/api/pith-number/CSSXOO7AF5TNCTCW22VVTAVXKQ/graph.json","events_json":"https://pith.science/api/pith-number/CSSXOO7AF5TNCTCW22VVTAVXKQ/events.json","paper":"https://pith.science/paper/CSSXOO7A"},"agent_actions":{"view_html":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ","download_json":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ.json","view_paper":"https://pith.science/paper/CSSXOO7A","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.15325&json=true","fetch_graph":"https://pith.science/api/pith-number/CSSXOO7AF5TNCTCW22VVTAVXKQ/graph.json","fetch_events":"https://pith.science/api/pith-number/CSSXOO7AF5TNCTCW22VVTAVXKQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ/action/storage_attestation","attest_author":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ/action/author_attestation","sign_citation":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ/action/citation_signature","submit_replication":"https://pith.science/pith/CSSXOO7AF5TNCTCW22VVTAVXKQ/action/replication_record"}},"created_at":"2026-07-05T04:09:24.093571+00:00","updated_at":"2026-07-05T04:09:24.093571+00:00"}