{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:XA727XAUUYS2IHKAJ6WYBPRXAA","short_pith_number":"pith:XA727XAU","schema_version":"1.0","canonical_sha256":"b83fafdc14a625a41d404fad80be370012f71d2efd8b3673c9908ccd2c0cfb6b","source":{"kind":"arxiv","id":"2501.09129","version":2},"attestation_state":"computed","paper":{"title":"Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Alexander L. Handwerger, Charles Marshak, Harris Hardiman-Mostow","submitted_at":"2025-01-15T20:24:18Z","abstract_excerpt":"Mapping land surface disturbances supports disaster response, resource and ecosystem management, and climate adaptation efforts. Synthetic aperture radar (SAR) is an invaluable tool for disturbance mapping, providing consistent time-series images of the ground regardless of weather or illumination conditions. Despite SAR's potential for disturbance mapping, processing SAR data to an analysis-ready format requires expertise and significant compute resources, particularly for large-scale global analysis. In October 2023, NASA's Observational Products for End-Users from Remote Sensing Analysis (O"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.09129","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T20:24:18Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"85959db5b8d47f796b1beac5f576221f2938e2bd9612c05adaf528b6c68640bd","abstract_canon_sha256":"9ee35c9e5f2a7b832cc84f74831f76d332d696c3bdc45e7c572f24e767ed6820"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:33:07.863339Z","signature_b64":"wWVDGfuRIQCiT0T1MXDlWR6o8Pq1XV+LOC8Cht4rdO6FpsufHkSiABzArxjJ4kI9cHPV4ziHbRls239YedHhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b83fafdc14a625a41d404fad80be370012f71d2efd8b3673c9908ccd2c0cfb6b","last_reissued_at":"2026-07-05T10:33:07.862713Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:33:07.862713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Self-Supervised Disturbance Mapping with the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Alexander L. Handwerger, Charles Marshak, Harris Hardiman-Mostow","submitted_at":"2025-01-15T20:24:18Z","abstract_excerpt":"Mapping land surface disturbances supports disaster response, resource and ecosystem management, and climate adaptation efforts. Synthetic aperture radar (SAR) is an invaluable tool for disturbance mapping, providing consistent time-series images of the ground regardless of weather or illumination conditions. Despite SAR's potential for disturbance mapping, processing SAR data to an analysis-ready format requires expertise and significant compute resources, particularly for large-scale global analysis. In October 2023, NASA's Observational Products for End-Users from Remote Sensing Analysis (O"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09129","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.09129/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.09129","created_at":"2026-07-05T10:33:07.862783+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.09129v2","created_at":"2026-07-05T10:33:07.862783+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09129","created_at":"2026-07-05T10:33:07.862783+00:00"},{"alias_kind":"pith_short_12","alias_value":"XA727XAUUYS2","created_at":"2026-07-05T10:33:07.862783+00:00"},{"alias_kind":"pith_short_16","alias_value":"XA727XAUUYS2IHKA","created_at":"2026-07-05T10:33:07.862783+00:00"},{"alias_kind":"pith_short_8","alias_value":"XA727XAU","created_at":"2026-07-05T10:33:07.862783+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA","json":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA.json","graph_json":"https://pith.science/api/pith-number/XA727XAUUYS2IHKAJ6WYBPRXAA/graph.json","events_json":"https://pith.science/api/pith-number/XA727XAUUYS2IHKAJ6WYBPRXAA/events.json","paper":"https://pith.science/paper/XA727XAU"},"agent_actions":{"view_html":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA","download_json":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA.json","view_paper":"https://pith.science/paper/XA727XAU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.09129&json=true","fetch_graph":"https://pith.science/api/pith-number/XA727XAUUYS2IHKAJ6WYBPRXAA/graph.json","fetch_events":"https://pith.science/api/pith-number/XA727XAUUYS2IHKAJ6WYBPRXAA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA/action/storage_attestation","attest_author":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA/action/author_attestation","sign_citation":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA/action/citation_signature","submit_replication":"https://pith.science/pith/XA727XAUUYS2IHKAJ6WYBPRXAA/action/replication_record"}},"created_at":"2026-07-05T10:33:07.862783+00:00","updated_at":"2026-07-05T10:33:07.862783+00:00"}