{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4EEPSTE76CDHOILLPCOYEKGYQH","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":"4d212c4d2384b9a76946a9215ba320f093febdf5d3cac0980245d5b35380ed4c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-25T19:50:47Z","title_canon_sha256":"4fb644c911f9c3ae1b93fd6e864f3b1a8d34b94a9158aa6b01b9bd001edcfed9"},"schema_version":"1.0","source":{"id":"2309.14500","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.14500","created_at":"2026-07-05T08:23:55Z"},{"alias_kind":"arxiv_version","alias_value":"2309.14500v4","created_at":"2026-07-05T08:23:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.14500","created_at":"2026-07-05T08:23:55Z"},{"alias_kind":"pith_short_12","alias_value":"4EEPSTE76CDH","created_at":"2026-07-05T08:23:55Z"},{"alias_kind":"pith_short_16","alias_value":"4EEPSTE76CDHOILL","created_at":"2026-07-05T08:23:55Z"},{"alias_kind":"pith_short_8","alias_value":"4EEPSTE7","created_at":"2026-07-05T08:23:55Z"}],"graph_snapshots":[{"event_id":"sha256:89f273fe805de3f1f58a92caa0d4514df503aac75ff52676390997e6dbc4ca50","target":"graph","created_at":"2026-07-05T08:23:55Z","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/2309.14500/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision foundation models are a new frontier in Geospatial Artificial Intelligence (GeoAI), an interdisciplinary research area that applies and extends AI for geospatial problem solving and geographic knowledge discovery, because of their potential to enable powerful image analysis by learning and extracting important image features from vast amounts of geospatial data. This paper evaluates the performance of the first-of-its-kind geospatial foundation model, IBM-NASA's Prithvi, to support a crucial geospatial analysis task: flood inundation mapping. This model is compared with convolutional ne","authors_text":"Chia-Yu Hsu, Hyunho Lee, Samantha T. Arundel, Sizhe Wang, Wenwen Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-25T19:50:47Z","title":"Assessment of a new GeoAI foundation model for flood inundation mapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.14500","kind":"arxiv","version":4},"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":"sha256:819bea303e23f5a654353c1bd8b3b9813fe69c328bf126aa500bdc4afeffe7bb","target":"record","created_at":"2026-07-05T08:23:55Z","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":"4d212c4d2384b9a76946a9215ba320f093febdf5d3cac0980245d5b35380ed4c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-09-25T19:50:47Z","title_canon_sha256":"4fb644c911f9c3ae1b93fd6e864f3b1a8d34b94a9158aa6b01b9bd001edcfed9"},"schema_version":"1.0","source":{"id":"2309.14500","kind":"arxiv","version":4}},"canonical_sha256":"e108f94c9ff08677216b789d8228d881f0b599e2aaa37210448ac2a9c6af913a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e108f94c9ff08677216b789d8228d881f0b599e2aaa37210448ac2a9c6af913a","first_computed_at":"2026-07-05T08:23:55.852434Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:55.852434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PDAEkg48PQqXL0xT0sQ1W20DPE3dLWsqgnvDVPBbF7jg73QXlexvvURmbYnHStr0iginSRSDmn7PA+Z4NByDBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:55.852911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.14500","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:819bea303e23f5a654353c1bd8b3b9813fe69c328bf126aa500bdc4afeffe7bb","sha256:89f273fe805de3f1f58a92caa0d4514df503aac75ff52676390997e6dbc4ca50"],"state_sha256":"e6598c23f44b148db7f082b5d2d24e461e23562ff2bf688fbab68a7f571f59fb"}