{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AWKMBHDM6VL56C2ELBN7V25CFO","short_pith_number":"pith:AWKMBHDM","canonical_record":{"source":{"id":"2506.16318","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-19T13:48:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6237f2fdca050c66b34c703a33165ad48e4b4b2eb78d03c80b9b7f8cc1e3786a","abstract_canon_sha256":"9f918475521260f61814ff41d3a837fbb6fd9809704139657c6a1d47cb7519d8"},"schema_version":"1.0"},"canonical_sha256":"0594c09c6cf557df0b44585bfaeba22bbce700723ce81d137802db7329582a2f","source":{"kind":"arxiv","id":"2506.16318","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16318","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16318v2","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16318","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_12","alias_value":"AWKMBHDM6VL5","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_16","alias_value":"AWKMBHDM6VL56C2E","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_8","alias_value":"AWKMBHDM","created_at":"2026-07-05T11:25:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AWKMBHDM6VL56C2ELBN7V25CFO","target":"record","payload":{"canonical_record":{"source":{"id":"2506.16318","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-19T13:48:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6237f2fdca050c66b34c703a33165ad48e4b4b2eb78d03c80b9b7f8cc1e3786a","abstract_canon_sha256":"9f918475521260f61814ff41d3a837fbb6fd9809704139657c6a1d47cb7519d8"},"schema_version":"1.0"},"canonical_sha256":"0594c09c6cf557df0b44585bfaeba22bbce700723ce81d137802db7329582a2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:46.787274Z","signature_b64":"H7G40s+xW4INkRDgbvvCyN4QuaEfzGy3cXb5mmZUPh9mtAaUE0Zq/x7ru89R7x9if/beWJzn0F2llt1tEfuBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0594c09c6cf557df0b44585bfaeba22bbce700723ce81d137802db7329582a2f","last_reissued_at":"2026-07-05T11:25:46.786766Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:46.786766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.16318","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:25:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U4Y/QhMUYf/b/wTPTpJQJ4OWx/UrXMLPtBOuaUk8G8CI0xwKaUO4YTBt2eTZmXyGH3xm78gaLpukW5lzShD/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:33:10.536099Z"},"content_sha256":"151c081ffb6af9477eee3c5fc2784ad1d3f000c4307f15f98ffafd9d60b4cdbe","schema_version":"1.0","event_id":"sha256:151c081ffb6af9477eee3c5fc2784ad1d3f000c4307f15f98ffafd9d60b4cdbe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AWKMBHDM6VL56C2ELBN7V25CFO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Carmelo Scribano, Elena Govi, Giorgia Franchini, Marko Bertogna, Paolo Bertellini, Simone Parisi","submitted_at":"2025-06-19T13:48:20Z","abstract_excerpt":"Accurate mapping of agricultural field boundaries is essential for the efficient operation of agriculture. Automatic extraction from high-resolution satellite imagery, supported by computer vision techniques, can avoid costly ground surveys. In this paper, we present a pipeline for field delineation based on the Segment Anything Model (SAM), introducing a fine-tuning strategy to adapt SAM to this task. In addition to using published datasets, we describe a method for acquiring a complementary regional dataset that covers areas beyond current sources. Extensive experiments assess segmentation a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16318","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/2506.16318/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:25:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HfduUGY+H0rH78HUy3b4uLYcrWYutV8BItA6PyyNWbxV/we6cdPVpYl/MNY/uEYpwXUxLplKBTk3uLFsxjDBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:33:10.536632Z"},"content_sha256":"ec282cca07ca8ef000b5e2fced394dc83f69579eaaf816cd182397cf0313d39d","schema_version":"1.0","event_id":"sha256:ec282cca07ca8ef000b5e2fced394dc83f69579eaaf816cd182397cf0313d39d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AWKMBHDM6VL56C2ELBN7V25CFO/bundle.json","state_url":"https://pith.science/pith/AWKMBHDM6VL56C2ELBN7V25CFO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AWKMBHDM6VL56C2ELBN7V25CFO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T17:33:10Z","links":{"resolver":"https://pith.science/pith/AWKMBHDM6VL56C2ELBN7V25CFO","bundle":"https://pith.science/pith/AWKMBHDM6VL56C2ELBN7V25CFO/bundle.json","state":"https://pith.science/pith/AWKMBHDM6VL56C2ELBN7V25CFO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AWKMBHDM6VL56C2ELBN7V25CFO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AWKMBHDM6VL56C2ELBN7V25CFO","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":"9f918475521260f61814ff41d3a837fbb6fd9809704139657c6a1d47cb7519d8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-19T13:48:20Z","title_canon_sha256":"6237f2fdca050c66b34c703a33165ad48e4b4b2eb78d03c80b9b7f8cc1e3786a"},"schema_version":"1.0","source":{"id":"2506.16318","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16318","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16318v2","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16318","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_12","alias_value":"AWKMBHDM6VL5","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_16","alias_value":"AWKMBHDM6VL56C2E","created_at":"2026-07-05T11:25:46Z"},{"alias_kind":"pith_short_8","alias_value":"AWKMBHDM","created_at":"2026-07-05T11:25:46Z"}],"graph_snapshots":[{"event_id":"sha256:ec282cca07ca8ef000b5e2fced394dc83f69579eaaf816cd182397cf0313d39d","target":"graph","created_at":"2026-07-05T11:25:46Z","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/2506.16318/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate mapping of agricultural field boundaries is essential for the efficient operation of agriculture. Automatic extraction from high-resolution satellite imagery, supported by computer vision techniques, can avoid costly ground surveys. In this paper, we present a pipeline for field delineation based on the Segment Anything Model (SAM), introducing a fine-tuning strategy to adapt SAM to this task. In addition to using published datasets, we describe a method for acquiring a complementary regional dataset that covers areas beyond current sources. Extensive experiments assess segmentation a","authors_text":"Carmelo Scribano, Elena Govi, Giorgia Franchini, Marko Bertogna, Paolo Bertellini, Simone Parisi","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-19T13:48:20Z","title":"Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16318","kind":"arxiv","version":2},"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":"sha256:151c081ffb6af9477eee3c5fc2784ad1d3f000c4307f15f98ffafd9d60b4cdbe","target":"record","created_at":"2026-07-05T11:25:46Z","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":"9f918475521260f61814ff41d3a837fbb6fd9809704139657c6a1d47cb7519d8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-19T13:48:20Z","title_canon_sha256":"6237f2fdca050c66b34c703a33165ad48e4b4b2eb78d03c80b9b7f8cc1e3786a"},"schema_version":"1.0","source":{"id":"2506.16318","kind":"arxiv","version":2}},"canonical_sha256":"0594c09c6cf557df0b44585bfaeba22bbce700723ce81d137802db7329582a2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0594c09c6cf557df0b44585bfaeba22bbce700723ce81d137802db7329582a2f","first_computed_at":"2026-07-05T11:25:46.786766Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:46.786766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H7G40s+xW4INkRDgbvvCyN4QuaEfzGy3cXb5mmZUPh9mtAaUE0Zq/x7ru89R7x9if/beWJzn0F2llt1tEfuBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:46.787274Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.16318","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:151c081ffb6af9477eee3c5fc2784ad1d3f000c4307f15f98ffafd9d60b4cdbe","sha256:ec282cca07ca8ef000b5e2fced394dc83f69579eaaf816cd182397cf0313d39d"],"state_sha256":"4df10416b4943022bfd6fe7c5c709757ff91eabf8f165842a32b837241b532d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E5OllKN4FYk68BFsVvWrXk2fIGsPfnScU9zAaqgFpq79ShmJ+TF1sg45j6dD3J8pfUs7U/6fkXePEEETEXsRCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:33:10.540872Z","bundle_sha256":"d2aee8ecb4c48d4e1eabdef837c4a42e27e3ec20cdb6b5edd6d19adf0bbe4a4a"}}