{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:ETF4OIPRDV2MEJHSVJVUMBRMGB","short_pith_number":"pith:ETF4OIPR","schema_version":"1.0","canonical_sha256":"24cbc721f11d74c224f2aa6b46062c30415f2466ff84ef8806448a57da4f6b85","source":{"kind":"arxiv","id":"2607.09583","version":1},"attestation_state":"computed","paper":{"title":"Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mohammad Dabaja, Turgay Celik","submitted_at":"2026-07-10T16:33:05Z","abstract_excerpt":"The deployment of large-scale foundation models, such as the Segment Anything Model 3 (SAM 3), promises a transition toward open-vocabulary, training-free computer vision. However, their capacity to generalize out-of-distribution to the complex, top-down geometric structures of Earth Observation imagery remains largely unquantified. Driven by SAM 3's performance disparities in highly specialized domains, we present a comprehensive, multi-task empirical evaluation across remote sensing scene classification, object detection, and instance segmentation under strict zero-shot and one-shot constrai"},"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":"2607.09583","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-10T16:33:05Z","cross_cats_sorted":[],"title_canon_sha256":"e60a998f7f7e4d1040d56721caeb1e38e628fb5739e90e63bdd9dbe3d8678d21","abstract_canon_sha256":"3ae8d95b962dc017178214cc630097c57919f4c0bb9a51f50d5cca18dd8d0f3e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-13T01:20:21.789213Z","signature_b64":"V6GGGt++Io2Akq+leLLSfj+Ia3oeEPnQl1NAonXEIkzA+CRtUM8rmF9YYaIOHCGRDTJ8ghWqPZMQCpIy+OnJDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24cbc721f11d74c224f2aa6b46062c30415f2466ff84ef8806448a57da4f6b85","last_reissued_at":"2026-07-13T01:20:21.788182Z","signature_status":"signed_v1","first_computed_at":"2026-07-13T01:20:21.788182Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Promptable Concept Segmentation from Above: Evaluating SAM 3's Zero-Shot and One-Shot Capabilities in Remote Sensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mohammad Dabaja, Turgay Celik","submitted_at":"2026-07-10T16:33:05Z","abstract_excerpt":"The deployment of large-scale foundation models, such as the Segment Anything Model 3 (SAM 3), promises a transition toward open-vocabulary, training-free computer vision. However, their capacity to generalize out-of-distribution to the complex, top-down geometric structures of Earth Observation imagery remains largely unquantified. Driven by SAM 3's performance disparities in highly specialized domains, we present a comprehensive, multi-task empirical evaluation across remote sensing scene classification, object detection, and instance segmentation under strict zero-shot and one-shot constrai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09583","kind":"arxiv","version":1},"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/2607.09583/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":"2607.09583","created_at":"2026-07-13T01:20:21.788740+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.09583v1","created_at":"2026-07-13T01:20:21.788740+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09583","created_at":"2026-07-13T01:20:21.788740+00:00"},{"alias_kind":"pith_short_12","alias_value":"ETF4OIPRDV2M","created_at":"2026-07-13T01:20:21.788740+00:00"},{"alias_kind":"pith_short_16","alias_value":"ETF4OIPRDV2MEJHS","created_at":"2026-07-13T01:20:21.788740+00:00"},{"alias_kind":"pith_short_8","alias_value":"ETF4OIPR","created_at":"2026-07-13T01:20:21.788740+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/ETF4OIPRDV2MEJHSVJVUMBRMGB","json":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB.json","graph_json":"https://pith.science/api/pith-number/ETF4OIPRDV2MEJHSVJVUMBRMGB/graph.json","events_json":"https://pith.science/api/pith-number/ETF4OIPRDV2MEJHSVJVUMBRMGB/events.json","paper":"https://pith.science/paper/ETF4OIPR"},"agent_actions":{"view_html":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB","download_json":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB.json","view_paper":"https://pith.science/paper/ETF4OIPR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.09583&json=true","fetch_graph":"https://pith.science/api/pith-number/ETF4OIPRDV2MEJHSVJVUMBRMGB/graph.json","fetch_events":"https://pith.science/api/pith-number/ETF4OIPRDV2MEJHSVJVUMBRMGB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB/action/storage_attestation","attest_author":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB/action/author_attestation","sign_citation":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB/action/citation_signature","submit_replication":"https://pith.science/pith/ETF4OIPRDV2MEJHSVJVUMBRMGB/action/replication_record"}},"created_at":"2026-07-13T01:20:21.788740+00:00","updated_at":"2026-07-13T01:20:21.788740+00:00"}