{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LBS6POV2LL6Q4K3EELYQ67PX3I","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":"733843ea4d6f0a71d0df327bee4075b60ff699786ba3f321a24ceab358650453","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-08T17:34:28Z","title_canon_sha256":"5171f10477b1aefc2e35d2d6cce10e2982910a247eed7778136a87b819304a2b"},"schema_version":"1.0","source":{"id":"2308.04417","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.04417","created_at":"2026-07-05T06:39:27Z"},{"alias_kind":"arxiv_version","alias_value":"2308.04417v1","created_at":"2026-07-05T06:39:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.04417","created_at":"2026-07-05T06:39:27Z"},{"alias_kind":"pith_short_12","alias_value":"LBS6POV2LL6Q","created_at":"2026-07-05T06:39:27Z"},{"alias_kind":"pith_short_16","alias_value":"LBS6POV2LL6Q4K3E","created_at":"2026-07-05T06:39:27Z"},{"alias_kind":"pith_short_8","alias_value":"LBS6POV2","created_at":"2026-07-05T06:39:27Z"}],"graph_snapshots":[{"event_id":"sha256:19c8abb358570a659ef02dcf8583a8432ee5820594f35d99516a8c22d3d004df","target":"graph","created_at":"2026-07-05T06:39:27Z","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/2308.04417/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optical satellite images are a critical data source; however, cloud cover often compromises their quality, hindering image applications and analysis. Consequently, effectively removing clouds from optical satellite images has emerged as a prominent research direction. While recent advancements in cloud removal primarily rely on generative adversarial networks, which may yield suboptimal image quality, diffusion models have demonstrated remarkable success in diverse image-generation tasks, showcasing their potential in addressing this challenge. This paper presents a novel framework called Diff","authors_text":"Junliang Xing, Kai Li, Lei Jin, Pin Tao, Shiying Wang, Xuechao Zou, Yu Zhang","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-08T17:34:28Z","title":"DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.04417","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":"sha256:3d6d6ed1424800c5f272650629f86dc16f17be132af4169a4a664c0fe7c2a9ee","target":"record","created_at":"2026-07-05T06:39:27Z","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":"733843ea4d6f0a71d0df327bee4075b60ff699786ba3f321a24ceab358650453","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-08T17:34:28Z","title_canon_sha256":"5171f10477b1aefc2e35d2d6cce10e2982910a247eed7778136a87b819304a2b"},"schema_version":"1.0","source":{"id":"2308.04417","kind":"arxiv","version":1}},"canonical_sha256":"5865e7baba5afd0e2b6422f10f7df7da1f18c3dc2782caee06a54bc52fa71392","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5865e7baba5afd0e2b6422f10f7df7da1f18c3dc2782caee06a54bc52fa71392","first_computed_at":"2026-07-05T06:39:27.182831Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:39:27.182831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N6JsMrJlptO3ai3KV6xMl5q2d9zvVmbaxdv4qh7ur6niquyeTGFQ52ncTxGWwPpYTSKsOM0xRpLkNu6zVs+ZAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:39:27.183331Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.04417","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d6d6ed1424800c5f272650629f86dc16f17be132af4169a4a664c0fe7c2a9ee","sha256:19c8abb358570a659ef02dcf8583a8432ee5820594f35d99516a8c22d3d004df"],"state_sha256":"94e62ec413868c2047f659b5ad4b99d0997e221407514f45ab6ab31869a3e5fd"}