{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GHZWAAR3NH46R4PWMUTDLILTZJ","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":"7c97778590ee87b2994f3e4d7807755139de4112297ba45848e2dfcf90f639d6","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T20:09:01Z","title_canon_sha256":"7b30fad712104a96e02dfdaeb8f11192449dc65e59738b92d67c190a82d56e41"},"schema_version":"1.0","source":{"id":"2201.09355","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.09355","created_at":"2026-07-05T03:50:56Z"},{"alias_kind":"arxiv_version","alias_value":"2201.09355v1","created_at":"2026-07-05T03:50:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.09355","created_at":"2026-07-05T03:50:56Z"},{"alias_kind":"pith_short_12","alias_value":"GHZWAAR3NH46","created_at":"2026-07-05T03:50:56Z"},{"alias_kind":"pith_short_16","alias_value":"GHZWAAR3NH46R4PW","created_at":"2026-07-05T03:50:56Z"},{"alias_kind":"pith_short_8","alias_value":"GHZWAAR3","created_at":"2026-07-05T03:50:56Z"}],"graph_snapshots":[{"event_id":"sha256:642b66bae7317fb9f92e13de4a7a0d41aee50a390196d8cae355cb2caa2991cd","target":"graph","created_at":"2026-07-05T03:50:56Z","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/2201.09355/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Synthetic Aperture Radar (SAR) images are usually degraded by a multiplicative noise known as speckle which makes processing and interpretation of SAR images difficult. In this paper, we introduce a transformer-based network for SAR image despeckling. The proposed despeckling network comprises of a transformer-based encoder which allows the network to learn global dependencies between different image regions - aiding in better despeckling. The network is trained end-to-end with synthetically generated speckled images using a composite loss function. Experiments show that the proposed method ac","authors_text":"Jeya Maria Jose Valanarasu, Malsha V. Perera, Vishal M. Patel, Wele Gedara Chaminda Bandara","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T20:09:01Z","title":"Transformer-based SAR Image Despeckling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.09355","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:f48817f086f18fadb50b22c05053962ec94c2986e5fa52078f0c1fa7dd929a99","target":"record","created_at":"2026-07-05T03:50:56Z","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":"7c97778590ee87b2994f3e4d7807755139de4112297ba45848e2dfcf90f639d6","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-01-23T20:09:01Z","title_canon_sha256":"7b30fad712104a96e02dfdaeb8f11192449dc65e59738b92d67c190a82d56e41"},"schema_version":"1.0","source":{"id":"2201.09355","kind":"arxiv","version":1}},"canonical_sha256":"31f360023b69f9e8f1f6652635a173ca653cd291e16871ffdb147c161214d7a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31f360023b69f9e8f1f6652635a173ca653cd291e16871ffdb147c161214d7a9","first_computed_at":"2026-07-05T03:50:56.685646Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:50:56.685646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DlQcZ+g0OtLe1/XDYqbnqq0LUaEnQgYwihV7vC5nrxrFpKuW6HmEidlWf/m2AAQRRVJqh7nvDngQHHjC29ABBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:50:56.686059Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.09355","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f48817f086f18fadb50b22c05053962ec94c2986e5fa52078f0c1fa7dd929a99","sha256:642b66bae7317fb9f92e13de4a7a0d41aee50a390196d8cae355cb2caa2991cd"],"state_sha256":"460e27014a662ad3b727422093f25887f4a1e619fd65fecc354d1a2f987038c8"}