{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2V33ISMVYOBTYMAWBFR7XZXQWA","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":"6a93162153800570ee158a8c40f25e35f9f726d256bbcb1b3710ab6141d8c3ab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T13:34:01Z","title_canon_sha256":"b36bb6d1679404e548448f20b6c7e1f00251db1f1117377d67a321c7c81dfba6"},"schema_version":"1.0","source":{"id":"2506.02868","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02868","created_at":"2026-07-05T11:15:10Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02868v1","created_at":"2026-07-05T11:15:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02868","created_at":"2026-07-05T11:15:10Z"},{"alias_kind":"pith_short_12","alias_value":"2V33ISMVYOBT","created_at":"2026-07-05T11:15:10Z"},{"alias_kind":"pith_short_16","alias_value":"2V33ISMVYOBTYMAW","created_at":"2026-07-05T11:15:10Z"},{"alias_kind":"pith_short_8","alias_value":"2V33ISMV","created_at":"2026-07-05T11:15:10Z"}],"graph_snapshots":[{"event_id":"sha256:697bc861b30079167c1795c595ae1e6f6c3023022141931bba7cd1212609a932","target":"graph","created_at":"2026-07-05T11:15:10Z","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/2506.02868/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate mapping of permafrost landforms, thaw disturbances, and human-built infrastructure at pan-Arctic scale using sub-meter satellite imagery is increasingly critical. Handling petabyte-scale image data requires high-performance computing and robust feature detection models. While convolutional neural network (CNN)-based deep learning approaches are widely used for remote sensing (RS),similar to the success in transformer based large language models, Vision Transformers (ViTs) offer advantages in capturing long-range dependencies and global context via attention mechanisms. ViTs support pr","authors_text":"Amal S. Perera, Anna K. Liljedahl, Chandi Witharana, Chia-Yu Hsu, David Fernandez, Elias Manos, Guido Grosse, Ingmar Nitze, Michael Pimenta, Todd Nicholson, Wenwen Li, Yili Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02868","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":"sha256:2a2194493c5ff0bbd316390dcd28b0396bc2f1ee1e6a0271a2b54959ac7980df","target":"record","created_at":"2026-07-05T11:15:10Z","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":"6a93162153800570ee158a8c40f25e35f9f726d256bbcb1b3710ab6141d8c3ab","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-03T13:34:01Z","title_canon_sha256":"b36bb6d1679404e548448f20b6c7e1f00251db1f1117377d67a321c7c81dfba6"},"schema_version":"1.0","source":{"id":"2506.02868","kind":"arxiv","version":1}},"canonical_sha256":"d577b44995c3833c30160963fbe6f0b00afbefe36b89cf18f8b6fb18367a4470","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d577b44995c3833c30160963fbe6f0b00afbefe36b89cf18f8b6fb18367a4470","first_computed_at":"2026-07-05T11:15:10.735794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:10.735794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z8/unxsR/7snlDJ4mvmZKfk8BvO4uv2yNl6khpSWQgbc78z2JpKVipuUb2fJORMKHgjwzUI/Gxs6K56hLZuFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:10.736267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02868","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a2194493c5ff0bbd316390dcd28b0396bc2f1ee1e6a0271a2b54959ac7980df","sha256:697bc861b30079167c1795c595ae1e6f6c3023022141931bba7cd1212609a932"],"state_sha256":"7101e5fc0485858df60c674fbdbb0b266549da500d79caa483332b1cc5701756"}