{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7MD3OARY7Q4ZEQH5K6CB7JLBGT","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"066d5ed19e031dce2e9a66f406abbf022505f20276f05d6ecb3f305a0a329660","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-05T11:17:49Z","title_canon_sha256":"e4be34da60a83a23b7f0351fb93c7ea73445cee8b0be95c301ce6b3daca62215"},"schema_version":"1.0","source":{"id":"2608.04706","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04706","created_at":"2026-08-06T01:46:32Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04706v1","created_at":"2026-08-06T01:46:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04706","created_at":"2026-08-06T01:46:32Z"},{"alias_kind":"pith_short_12","alias_value":"7MD3OARY7Q4Z","created_at":"2026-08-06T01:46:32Z"},{"alias_kind":"pith_short_16","alias_value":"7MD3OARY7Q4ZEQH5","created_at":"2026-08-06T01:46:32Z"},{"alias_kind":"pith_short_8","alias_value":"7MD3OARY","created_at":"2026-08-06T01:46:32Z"}],"graph_snapshots":[{"event_id":"sha256:02214f2e4f828058ece6abb579d1f6c994306b3ad3bce9a7cc62d1083c963036","target":"graph","created_at":"2026-08-06T01:46:32Z","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/2608.04706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Monitoring of offshore wind energy infrastructure life cycles, especially during the deployment phase, is an important contribution for stakeholders to make informed decisions in a phase of increasing deployment activities. ESA's Sentinel-1 Synthetic Aperture Radar (SAR) mission produces large data archives that enable the global monitoring of offshore wind infrastructure. Turning these high-volume archives into information requires algorithms that automatically extract single event labels from dense time series at a global scale. In this study, we present a structured comparison of ten deep l","authors_text":"Claudia Kuenzer, Felix Bachofer, Thorsten Hoeser","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-05T11:17:49Z","title":"Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04706","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":"sha256:1d7a6881dd60faedc35324de901a963c94602ebbb591ddde2bdf374aa8df74f0","target":"record","created_at":"2026-08-06T01:46:32Z","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":"066d5ed19e031dce2e9a66f406abbf022505f20276f05d6ecb3f305a0a329660","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-05T11:17:49Z","title_canon_sha256":"e4be34da60a83a23b7f0351fb93c7ea73445cee8b0be95c301ce6b3daca62215"},"schema_version":"1.0","source":{"id":"2608.04706","kind":"arxiv","version":1}},"canonical_sha256":"fb07b70238fc399240fd57841fa56134ce6777070bc8355443e6f1538280de5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb07b70238fc399240fd57841fa56134ce6777070bc8355443e6f1538280de5c","first_computed_at":"2026-08-06T01:46:32.645675Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-06T01:46:32.645675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0GLy0+sNLOFQJj2qVIRwNUHG/wnMEqdGyOlWfm8WjKglnaPqNgyT9fJ2GM+LuJBjHg0tcx4gvfVDyZRi6xSrCA==","signature_status":"signed_v1","signed_at":"2026-08-06T01:46:32.647229Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.04706","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d7a6881dd60faedc35324de901a963c94602ebbb591ddde2bdf374aa8df74f0","sha256:02214f2e4f828058ece6abb579d1f6c994306b3ad3bce9a7cc62d1083c963036","sha256:ad5284a75f684700e0dc80253f269198ed6843f45b72c1b141ec3a5cd047e9b3"],"state_sha256":"a3892157ae8c0cf9084596ce35bf2ffdb2eb4ec619b1cf2370d22e554e95a3c3"}