{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:INAJWHCGOSGJ43MX4PFPLCGRYZ","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":"e1d56f1eae766c35bfa812da42440eae52c61e1b4339a78c70b6e8ab6806cc59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-01T17:08:26Z","title_canon_sha256":"e04a7a4375b390bbdff5ff9f1443d355a0248f89863ceb626fc0d4e80679e83d"},"schema_version":"1.0","source":{"id":"2311.00660","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.00660","created_at":"2026-07-05T07:10:30Z"},{"alias_kind":"arxiv_version","alias_value":"2311.00660v3","created_at":"2026-07-05T07:10:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.00660","created_at":"2026-07-05T07:10:30Z"},{"alias_kind":"pith_short_12","alias_value":"INAJWHCGOSGJ","created_at":"2026-07-05T07:10:30Z"},{"alias_kind":"pith_short_16","alias_value":"INAJWHCGOSGJ43MX","created_at":"2026-07-05T07:10:30Z"},{"alias_kind":"pith_short_8","alias_value":"INAJWHCG","created_at":"2026-07-05T07:10:30Z"}],"graph_snapshots":[{"event_id":"sha256:d618bbb22704dc1e1746d1cc49e2d591d52e733fbbec4699234e1e148d7993e1","target":"graph","created_at":"2026-07-05T07:10:30Z","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/2311.00660/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Rain generation algorithms have the potential to improve the generalization of deraining methods and scene understanding in rainy conditions. However, in practice, they produce artifacts and distortions and struggle to control the amount of rain generated due to a lack of proper constraints. In this paper, we propose an unpaired image-to-image translation framework for generating realistic rainy images. We first introduce a Triangular Probability Similarity (TPS) constraint to guide the generated images toward clear and rainy images in the discriminator manifold, thereby minimizing artifacts a","authors_text":"Changjie Lu, Shen Zheng, Srinivasa G. Narasimhan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-01T17:08:26Z","title":"TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.00660","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":"sha256:443bfaa0ade61ead528459ca7418965c9e61e2658cacf0b4c097e580609e0560","target":"record","created_at":"2026-07-05T07:10:30Z","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":"e1d56f1eae766c35bfa812da42440eae52c61e1b4339a78c70b6e8ab6806cc59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-01T17:08:26Z","title_canon_sha256":"e04a7a4375b390bbdff5ff9f1443d355a0248f89863ceb626fc0d4e80679e83d"},"schema_version":"1.0","source":{"id":"2311.00660","kind":"arxiv","version":3}},"canonical_sha256":"43409b1c46748c9e6d97e3caf588d1c665e343ab369e22713098eed9af02ad11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43409b1c46748c9e6d97e3caf588d1c665e343ab369e22713098eed9af02ad11","first_computed_at":"2026-07-05T07:10:30.426600Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:30.426600Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YcdgPHjSTLrSK/LnE+0JqXxr/WEbuAuVJS3HZ6QtXFLW4RV5fogJ8rYMEYL3kbRnW6k6POYzcW+c6TTmQdbQAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:30.427084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.00660","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:443bfaa0ade61ead528459ca7418965c9e61e2658cacf0b4c097e580609e0560","sha256:d618bbb22704dc1e1746d1cc49e2d591d52e733fbbec4699234e1e148d7993e1"],"state_sha256":"43dd9783b93496f2357e1c21c3ce5de3188ba4680eb8c46abc05dc6a2af30377"}