{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7LRNPWIF6FOHDUR5AEWVTZM3ZU","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":"f2ef18cca7659f88ebbd39f5e389326f64196728e4519725cb903026ca14c294","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-28T14:59:16Z","title_canon_sha256":"2e25c32f4a694c4421b4c98b99d6a8bd28a800dbb33edd6438299ba15ad29824"},"schema_version":"1.0","source":{"id":"2309.16494","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16494","created_at":"2026-07-05T12:04:25Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16494v3","created_at":"2026-07-05T12:04:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16494","created_at":"2026-07-05T12:04:25Z"},{"alias_kind":"pith_short_12","alias_value":"7LRNPWIF6FOH","created_at":"2026-07-05T12:04:25Z"},{"alias_kind":"pith_short_16","alias_value":"7LRNPWIF6FOHDUR5","created_at":"2026-07-05T12:04:25Z"},{"alias_kind":"pith_short_8","alias_value":"7LRNPWIF","created_at":"2026-07-05T12:04:25Z"}],"graph_snapshots":[{"event_id":"sha256:5ce46dceac49202b6a3ac4d125ef7fc421813ff27fc0fb6be51c90ed72720dbc","target":"graph","created_at":"2026-07-05T12:04:25Z","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/2309.16494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, deep learning-based methods have dominated image dehazing domain. A multi-receptive-field non-local network (MRFNLN) consisting of the multi-stream feature attention block (MSFAB) and the cross non-local block (CNLB) is presented in this paper to further enhance the performance. We start with extracting richer features for dehazing. Specifically, a multi-stream feature extraction (MSFE) sub-block, which contains three parallel convolutions with different receptive fields (i.e., $1\\times 1$, $3\\times 3$, $5\\times 5$), is designed for extracting multi-scale features. Following MSFE, an","authors_text":"Evangelos K. Markakis, Hao Luo, Jinlei Li, Xuecheng Sun, Zewei He, Zhe-Ming Lu, Ziqian Lu, Zixuan Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-28T14:59:16Z","title":"Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16494","kind":"arxiv","version":3},"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":"sha256:665210bb8a8a1787188065e5a00a5ca21663c71e427484126413b8e1a6c8fe1c","target":"record","created_at":"2026-07-05T12:04:25Z","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":"f2ef18cca7659f88ebbd39f5e389326f64196728e4519725cb903026ca14c294","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-28T14:59:16Z","title_canon_sha256":"2e25c32f4a694c4421b4c98b99d6a8bd28a800dbb33edd6438299ba15ad29824"},"schema_version":"1.0","source":{"id":"2309.16494","kind":"arxiv","version":3}},"canonical_sha256":"fae2d7d905f15c71d23d012d59e59bcd0e73a016903f977ff65fef929f9c7c24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fae2d7d905f15c71d23d012d59e59bcd0e73a016903f977ff65fef929f9c7c24","first_computed_at":"2026-07-05T12:04:25.493194Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:25.493194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Htti4OobtWIaRV7xJa+k9vGkA7AM6NKakm7C31ZNhaBldTsDHfEBiH8fYn8dzBZY3+y6CqF8DGvPgSrENgktDA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:25.493604Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.16494","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:665210bb8a8a1787188065e5a00a5ca21663c71e427484126413b8e1a6c8fe1c","sha256:5ce46dceac49202b6a3ac4d125ef7fc421813ff27fc0fb6be51c90ed72720dbc"],"state_sha256":"de19afb635b305cbc5b9dcb81559b6f6c7361844f85848595e58835cb3766c21"}