{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AFD52TZOQARTIF4HWYIXOIMEM5","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":"58108987905c5ff70a5ad12c207172f68ef8270e406cbee9d72002239ac7a300","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T21:35:25Z","title_canon_sha256":"424f06276b3967fdfbe1cd0d334af56084deb5ee8f4746d9d6a75d21854151dd"},"schema_version":"1.0","source":{"id":"2409.00263","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00263","created_at":"2026-07-05T09:53:04Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00263v2","created_at":"2026-07-05T09:53:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00263","created_at":"2026-07-05T09:53:04Z"},{"alias_kind":"pith_short_12","alias_value":"AFD52TZOQART","created_at":"2026-07-05T09:53:04Z"},{"alias_kind":"pith_short_16","alias_value":"AFD52TZOQARTIF4H","created_at":"2026-07-05T09:53:04Z"},{"alias_kind":"pith_short_8","alias_value":"AFD52TZO","created_at":"2026-07-05T09:53:04Z"}],"graph_snapshots":[{"event_id":"sha256:173d39f05346a0f15ba9f3d4014689b5458927550731ab90be293b22289cf2fd","target":"graph","created_at":"2026-07-05T09:53:04Z","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/2409.00263/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"All-Weather Image Restoration (AWIR) under adverse weather conditions is a challenging task due to the presence of different types of degradations. Prior research in this domain relies on extensive training data but lacks the utilization of additional contextual information for restoration guidance. Consequently, the performance of existing methods is limited by the degradation cues that are learnt from individual training samples. Recent advancements in visual in-context learning have introduced generalist models that are capable of addressing multiple computer vision tasks simultaneously by ","authors_text":"Sudarshan Rajagopalan, Vishal M. Patel","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T21:35:25Z","title":"AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00263","kind":"arxiv","version":2},"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":"sha256:7b07af8e92e0c6b8cfdafbbb98e18aee1ecfc88de72078e8e130ad878be5bb6b","target":"record","created_at":"2026-07-05T09:53:04Z","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":"58108987905c5ff70a5ad12c207172f68ef8270e406cbee9d72002239ac7a300","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T21:35:25Z","title_canon_sha256":"424f06276b3967fdfbe1cd0d334af56084deb5ee8f4746d9d6a75d21854151dd"},"schema_version":"1.0","source":{"id":"2409.00263","kind":"arxiv","version":2}},"canonical_sha256":"0147dd4f2e8023341787b6117721846777727385362742b42510886970718f5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0147dd4f2e8023341787b6117721846777727385362742b42510886970718f5e","first_computed_at":"2026-07-05T09:53:04.437302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:04.437302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rJzuVsYU9rqcjppP2wkNw+sV6sRWNAVwNrHdnfZwlK4QDr9gis7r7nMYdnPSMEUKM/3/VnWBs5ZDuufqNUZbAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:04.437802Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.00263","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b07af8e92e0c6b8cfdafbbb98e18aee1ecfc88de72078e8e130ad878be5bb6b","sha256:173d39f05346a0f15ba9f3d4014689b5458927550731ab90be293b22289cf2fd"],"state_sha256":"36eac1c01e3f07932931780c04d3043b8e18e2c22eb675600999561cf673a9df"}