{"as_of":"2026-08-10T19:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd9e6cdacac9351820be8446d06f7665f155bf74f3968608e9493e607a76277b","coverage":[{"denominator":72,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":72,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:17:55.948003Z","state":"measured"},{"denominator":72,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":72,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.02868/citation-record","integrity":"/paper/2506.02868/integrity","json":"/paper/2506.02868/citation-record.json","paper":"/paper/2506.02868"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43247-024-01883-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A transdisciplinary, comparative analysis reveals key risks from Arctic permafrost thaw,","venue":"Communications Earth & Environment","work_id":"643c069f-8b74-43fa-89f2-e5a0beedbf40","year":2025},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:48.772750Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:f373dbb4a572b3f485ee1e202bdcac1bb118b39a1c47565ffc45382a4a3396dc","observation_id":"fba0d00f-12eb-4245-aa28-e155a10ad862","resolution":{"observed_at":"2026-08-07T11:17:58.322945Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-07T18:18:06.551294+00:00","source":"paper_reference_links","state":"open"},"event_date":"2025-03-26","event_type":"correction","notice_doi":"10.1038/s43247-025-02204-5","provenance":{"observed_at":"2026-07-11T03:06:52.28519+00:00","source":"crossref","source_record_id":"10.1038/s43247-025-02204-5->10.1038/s43247-024-01883-w:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/wcas-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:58.105094Z","title":"Environmental Impacts from Projected Permafrost Thaw in Alaska: Defining Knowledge Gaps, Data Needs, and Research Priorities,","venue":null,"work_id":"1f5d54af-c1fd-46b9-8c07-1f16a7fb525d","year":2025},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:48.901627Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:533b6f60fc9803458dfd76921d1d026c8ff6c42994b1e5401fb7c85d293be057","observation_id":"2dc71e60-f0da-485b-aaa2-55e1e11bbf24","resolution":{"observed_at":"2026-08-07T11:17:58.164878Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:03.997077Z","title":"Unmet Needs of Environmentally Threatened Alaska Native Villages: Assessment and Recommendations,","venue":null,"work_id":"50ee607b-4bea-49c3-a771-759bc303b0d2","year":2024},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:48.999802Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:6a494f7e93e63b5a452937405006d2c8ef6c849e974da52b531b47a4de31ca44","observation_id":"f056f6f2-5d2a-43f0-87fc-093fd24734bd","resolution":{"observed_at":"2026-08-07T11:18:04.088715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:49.078946Z","title":"The Arctic has warmed nearly four times faster than the globe since 1979,","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.078946Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:4c7da226cd42a4c1dad230ea74459f6df709556f058a753c76e8e2a822e3a150","observation_id":"4aca0aa5-33ac-432c-8405-9818f2e7b846","resolution":{"observed_at":"2026-08-07T11:17:49.078946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1130/g38626.1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Climate-driven thaw of permafrost preserved glacial landscapes, northwestern Canada,","venue":"Geology","work_id":"15b82220-c01a-48b2-bcdd-1f4e76dc4a29","year":2017},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.164417Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:7019e964a27b7ac5de715d58b969af25c7cf760ed3803a1cd46b4a58985ea687","observation_id":"f593abf9-20d8-48a7-9471-93142985796d","resolution":{"observed_at":"2026-08-07T11:17:58.031499Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:49.219751Z","title":"Increase in Arctic coastal erosion and its sensitivity to warming in the twenty-first century,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.219751Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:90b0d481abd00171699c47f1f23b8621088e6e0f58f4a818076be31ca28a8771","observation_id":"9e0e77cb-5580-42fe-bff2-ef57dd3317bb","resolution":{"observed_at":"2026-08-07T11:17:49.219751Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43017-021-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:57.789060Z","title":"Impacts of permafrost degradation on infrastructure,","venue":null,"work_id":"8f2325fd-93dd-4b55-a562-bfc8b072f52f","year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.309887Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:7e318ec2e87e7cce84f0a61d5c97b7e6f94d015dc3a76577f6746d231b353f6f","observation_id":"b16ae737-29c8-4e59-acb8-b81f6f8113d8","resolution":{"observed_at":"2026-08-07T11:17:57.885459Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1146/annurev-environ-012220-011847","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Permafrost and Climate Change: Carbon Cycle Feedbacks From the Warming Arctic,","venue":"Annual Review of Environment and Resources","work_id":"79746467-04c2-4c2f-824e-c9d70b00cdb8","year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.398281Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:35c450e6f72948ffc614b2f537589a0b1fdadff49f4565601097815c95f87de6","observation_id":"7713881d-b764-4eed-bc17-7c06543f21bc","resolution":{"observed_at":"2026-08-07T11:17:57.695155Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/tc-17-889-2023","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Towards long-term records of rain-on-snow events across the Arctic from satellite data,","venue":"˜The œcryosphere","work_id":"d0b08f8c-149e-4837-8117-ec177138eb01","year":2023},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.479697Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:a02604a3645c0d98cf80fedd26d81d35edf9002a9edf8669dfd4464f357edb5d","observation_id":"4f72b99a-eb04-4e64-9520-debecde6456b","resolution":{"observed_at":"2026-08-07T11:17:57.514986Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:03.838048Z","title":"The capillaries of the Arctic tundra,","venue":null,"work_id":"d8e23f38-b457-4ac1-9c1f-654e58c1091d","year":2024},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.546523Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:c9784a71399251b441495e64b3fdd65aebc5ba391468ea7361a8f89c76ab17c3","observation_id":"32d78266-edd3-4d7a-93c9-4f019e826327","resolution":{"observed_at":"2026-08-07T11:18:03.929053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.14358/pers.21-00059r2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery,","venue":"Photogrammetric Engineering & Remote Sensing","work_id":"574b00be-dac4-4714-a92c-09bbf36217ca","year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.610864Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:0a880a228e6c82fadbf5241769e080b865e926203ad058b8ad57b1325fc1f729","observation_id":"70b2f688-5b02-4da9-bffb-ede595304055","resolution":{"observed_at":"2026-08-07T11:17:57.348086Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:03.658798Z","title":"Use of commercial satellite imagery to monitor changing arctic polygonal tundra,","venue":null,"work_id":"86c00791-a1f0-4a9a-929e-f10434446549","year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.661719Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:64f09c93f1ee587b91992255a37b625be28781b9a5a98dcdc4cdac943d430479","observation_id":"2df0d822-9f0b-479c-a58b-775c49893ce1","resolution":{"observed_at":"2026-08-07T11:18:03.750172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/rs13040558","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery,","venue":"Remote Sensing","work_id":"acf4f1ff-7d78-4e39-97f8-85d71261bb50","year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.729114Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:4e3391b4b25e26e994a740ba5ece1c11db0201d8d573b4f5c52c2714a35fdc98","observation_id":"0875cc9e-0750-458d-b737-317e80eb7501","resolution":{"observed_at":"2026-08-07T11:17:57.114823Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2024gl113022","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Rapid Changes in Retrogressive Thaw Slump Dynamics in the Russian High Arctic Based on Very High-Resolution Remote Sensing,","venue":"Geophysical Research Letters","work_id":"2ab40cad-76a4-4cd9-9846-913bb0874d2e","year":2025},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.804259Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:2242898611c5551f5267b2aa87f2093ef6b85f81884f370c1dd444718747004b","observation_id":"2e503a86-153f-45ad-a45b-8adfad2a16b6","resolution":{"observed_at":"2026-08-07T11:17:56.973935Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-025-04372-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards,","venue":"Scientific Data","work_id":"677d939e-1553-4d91-8161-95b8bcb58aa8","year":2025},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:49.886203Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:482f0af2c853367284a154bc3b2187b4852d657674e29cd41764d295e5a1538d","observation_id":"efd8c4f1-a918-4f56-a5e9-eff3a49ce4b3","resolution":{"observed_at":"2026-08-07T11:17:56.823128Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:50.002279Z","title":"A multi- objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.002279Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:73bd12b8815b5023f3c0f2594ac1baa1fdf99a1294f477cc662122232a4580e4","observation_id":"a698eb59-f407-4849-bb12-98edeef3c114","resolution":{"observed_at":"2026-08-07T11:17:50.002279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:50.087438Z","title":"Permafrost thaw-related infrastructure damage costs in Alaska are projected to double under medium and high emission scenarios,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.087438Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:7c113ff63391774d3c16185598d66d44b4e7b942cee92979a923a05d1d4bb6df","observation_id":"90759cee-c586-4f7d-ada9-69e886fe9cf8","resolution":{"observed_at":"2026-08-07T11:17:50.087438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:03.503975Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,","venue":null,"work_id":"e019f0b9-3dce-4f46-8a5c-67f2f64187fc","year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.222015Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:626e161cd590b3d3fd7f608036cfcc3671fce6e213996153abf58a027ca9f2e2","observation_id":"c3f1e530-6e79-4fba-9a2f-000cc9bfaa4f","resolution":{"observed_at":"2026-08-07T11:18:03.581068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/s23073447","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"PLG-ViT: Vision Transformer with Parallel Local and Global Self-Attention,","venue":"Sensors","work_id":"cb6c7503-0d7f-4923-9d35-7ad71e018bb2","year":2023},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.332281Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:47cf3881ee3fe072d0018d5a97f08a81d929ff92c28f0c12089e996ed81cbdf2","observation_id":"b5a8420d-bdb4-4f06-8e7a-cbb20e0b53cb","resolution":{"observed_at":"2026-08-07T11:17:56.643188Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:50.451839Z","title":"Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.451839Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:e6d83a9de36fe805b0836a319d31e3a6c726065c9d47fc4adb58423c5b85ad1a","observation_id":"0b24db86-85eb-4825-b388-2d926641ce4b","resolution":{"observed_at":"2026-08-07T11:17:50.451839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:03.356759Z","title":"SatMAE: pre-training transformers for temporal and multi-spectral satellite imagery,","venue":null,"work_id":"0fa703fc-a105-43de-83df-605bbd07e831","year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.582914Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:00c66a5fdbe046f23b5356b9509267f894ff8b07b262006a3cfb8881e84e01ee","observation_id":"801dadf9-6236-4ab2-b036-782978545910","resolution":{"observed_at":"2026-08-07T11:18:03.446982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2011.21681","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:00.650189Z","title":"Morphological Building/Shadow Index for Building Extraction From High-Resolution Imagery Over Urban Areas,","venue":null,"work_id":"b6f0fe19-2f47-4d5a-8773-2ce6485ae92a","year":2012},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.705873Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:f350277658971d211f2541743a3e2d25a0870c000ef4c41c02f8a1b081eaf255","observation_id":"770422cb-a95e-4335-ab84-adf52259c1f2","resolution":{"observed_at":"2026-08-07T11:18:00.688274Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:50.805701Z","title":"DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.805701Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:c24a491af6e4cd83ae31dbe182097dad925a533fbfd686248f378b2bf3d20982","observation_id":"a1094939-9099-4ba5-9948-f904a867abdf","resolution":{"observed_at":"2026-08-07T11:17:50.805701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16020","last_updated":"2023-11-21T23:23:08Z","snapshot_observed_at":"2026-07-06T16:24:38.375055Z","submitted_at":"2023-09-27T20:54:56Z","title":"GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16020","snapshot_observed_at":"2026-08-07T11:17:50.879422Z","title":"GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.879422Z"},"links":{"cited_paper":"/paper/2309.16020","citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:f1b4244a46af79f2f03c8c187ef55c9eec4d5e030dff999d3a3f0a413773998f","observation_id":"67aa6f6e-668c-450e-b8e2-d946e1c76b20","resolution":{"observed_at":"2026-08-07T11:17:50.879422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:03.180605Z","title":"Learning Transferable Visual Models From Natural Language Supervision,","venue":null,"work_id":"4b59b891-c69e-4a57-af5b-d0c7492fc2de","year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:50.970240Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:0e79117208aed5533d1b83d59f1170ac19566e33f176763b02eaaaa56e5710f0","observation_id":"70b9609b-9fb8-45c6-b7e5-cd4119dcfae1","resolution":{"observed_at":"2026-08-07T11:18:03.235521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10279","last_updated":"2024-01-12T12:43:33Z","snapshot_observed_at":"2026-07-06T17:17:35.111617Z","submitted_at":"2024-01-12T12:43:33Z","title":"A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems","version":1},"cited_work":{"arxiv_id":"2401.10279","doi":"10.48550/arxiv.2401.10279","metadata_source":"pith","pith_arxiv_id":"2401.10279","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems","venue":"cs.IR","work_id":"90b02396-32d7-4442-8e83-727f72c6d7da","year":2024},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.048330Z"},"links":{"cited_paper":"/paper/2401.10279","citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:2c477cdf11e9a8d1179f8eee1f9e29d3aa4045bc25da8ee6df9cd73224f150be","observation_id":"6c1f4d8e-dabd-465b-8698-489df2b682bf","resolution":{"observed_at":"2026-08-07T11:17:56.489432Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17179","last_updated":"2024-04-12T22:23:32Z","snapshot_observed_at":"2026-08-09T05:37:15.584506Z","submitted_at":"2023-11-28T19:14:40Z","title":"SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17179","snapshot_observed_at":"2026-08-07T11:17:51.144910Z","title":"SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.144910Z"},"links":{"cited_paper":"/paper/2311.17179","citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:f83e8dac56f80dbf456df15bb9099eaed5b04b124d30dd44309fabdb6c77a248","observation_id":"83796325-bb7e-4a1a-b7e5-3db15276bdc4","resolution":{"observed_at":"2026-08-07T11:17:51.144910Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2004.82725","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:00.390211Z","title":"A relative evaluation of multiclass image classification by support vector machines,","venue":null,"work_id":"db9217d8-85a9-41e8-825f-a911def34430","year":2004},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.213988Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:7ca4df0414e35766c49921e110f61dc4b4e81c0f1421692858edee36ddcab9fd","observation_id":"115219c8-be8c-43f1-b77e-958232c65dbd","resolution":{"observed_at":"2026-08-07T11:18:00.458836Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2009.20162","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:00.201773Z","title":"Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques,","venue":null,"work_id":"d8ea543d-22d1-4ccd-be0b-627eb1e3aee4","year":2009},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.272374Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:51bfdf7b4db9c86e8c95b5bf298477fa70cf167e491300383529ef62c1008f75","observation_id":"e99c84e7-f6a1-4fa5-a3b4-a99734aa20fe","resolution":{"observed_at":"2026-08-07T11:18:00.254324Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2011.21659","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:59.981104Z","title":"Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis,","venue":null,"work_id":"667e33b5-fade-4755-9689-787b6330b9e4","year":2012},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.371452Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:bcff8af1f158c257c2abf504b454f5b52c38111d402866cb9e3a26e866ff8278","observation_id":"8c44ff00-6e9a-4c14-ba57-35f7af9a3548","resolution":{"observed_at":"2026-08-07T11:18:00.037086Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2004.83186","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:59.752190Z","title":"Classification of hyperspectral remote sensing images with support vector machines,","venue":null,"work_id":"c69e5910-641a-4943-a83d-94b38d78511c","year":2004},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.460823Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:c69a6c44f57eade376191f995b9333bba70904d77a4af32b996986407786866f","observation_id":"cd81a0a3-eb89-40b5-973a-8c21af642162","resolution":{"observed_at":"2026-08-07T11:17:59.846789Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2000.86171","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:59.535459Z","title":"Support vector machines for classification of hyperspectral data,","venue":null,"work_id":"b6a2be5c-cf54-48b8-82b2-2f0c45c6a5b8","year":2000},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.557669Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:b1c01e8682e92a20161148f772814b586427f29744165e69fddc6f91c32280ce","observation_id":"55f02bed-e568-4053-8c86-fdd781108530","resolution":{"observed_at":"2026-08-07T11:17:59.597667Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:51.625690Z","title":"Support vector machines in remote sensing: A review,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.625690Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:5f06966762bf7d25b4937435f7d9aaf0e1a098264ebf07a3be56564d46a6f06a","observation_id":"592122a4-8832-46c4-9b77-ba796f8aedbb","resolution":{"observed_at":"2026-08-07T11:17:51.625690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1080/014311697218700","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Introduction Neural networks in remote sensing,","venue":"International Journal of Remote Sensing","work_id":"1dbfad5a-5ba6-47af-a9ec-11e9f3d69b35","year":1997},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.785996Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:ef7bb154ff7a2f054486671889dec1225fe12a250e2fc92052407038fa8730b5","observation_id":"a3071894-593c-4d73-b16d-c133b12c56e2","resolution":{"observed_at":"2026-08-07T11:17:56.345408Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/36.752239","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A technique for the selection of kernel- function parameters in RBF neural networks for classification of remote-sensing images,","venue":"IEEE Transactions on Geoscience and Remote Sensing","work_id":"56b0c66a-9307-44b0-9c44-05f91f1ed7d2","year":1999},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:51.874334Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:88f0aede5ac1b1c1f0bac29d39b7838858053a2e4099ba3e2699642e134a0a5d","observation_id":"7b7fd4f4-0bbe-4a03-b33b-5ffcff28c5e0","resolution":{"observed_at":"2026-08-07T11:17:56.177484Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:52.051780Z","title":"Reducing the Dimensionality of Data with Neural Networks,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:52.051780Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:9406ba0fc7e9b581899e3307848920c841cd4d1897d232fd28160668779ffaf7","observation_id":"fdb957c4-001c-4ac9-ba7e-426adf65edda","resolution":{"observed_at":"2026-08-07T11:17:52.051780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:52.210464Z","title":"Deep learning in remote sensing applications: A meta-analysis and review,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:52.210464Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:5bd425869d62bc65e47020d60e512ab6b0a8a80b2f232fef6fa3ff864442b226","observation_id":"cb4a0dbc-6903-485d-8bbd-5459b20aa07e","resolution":{"observed_at":"2026-08-07T11:17:52.210464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:52.345611Z","title":"Deep Convolutional Neural Networks for Hyperspectral Image Classification,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:52.345611Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:9bc85dd39e77e8c6725c208dcb62a840e915dff810466720896576eb9aadab88","observation_id":"71e82a17-a214-4520-9771-3a7011e3d615","resolution":{"observed_at":"2026-08-07T11:17:52.345611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:52.506214Z","title":"Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:52.506214Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:047efd5fdf19ebb213af6b305834a79e8bf914850d700672661ea954de8638e0","observation_id":"4d95414c-7ecf-4ef7-bb2a-9d9b6704a725","resolution":{"observed_at":"2026-08-07T11:17:52.506214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:03.015994Z","title":"SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,","venue":null,"work_id":"a0770557-eb35-4424-a6f5-1bdb9b67c80f","year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:52.742369Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:59e185ebd81624706eb4c7ad08cf7f9acf08524c6cbb2f330556f2e2940e9826","observation_id":"19b697c2-3a64-4f8e-9ffe-224b747378af","resolution":{"observed_at":"2026-08-07T11:18:03.103893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:52.953804Z","title":"Semantic texton forests for image categorization and segmentation,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:52.953804Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:c2cbdf6996b4226c0bc14c534505427b2804403845199ba1552dd4c704584759","observation_id":"05f80e68-016d-4e5f-80da-2eb4b279b5a1","resolution":{"observed_at":"2026-08-07T11:17:52.953804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:53.066479Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:53.066479Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:1fe8fa0e1cd1a5a695252dfc1fe6b6b6a5e083acab28d9e8ab79ebd4d44c237b","observation_id":"7ca102e5-c6e8-4917-9f3a-7c884ca02b19","resolution":{"observed_at":"2026-08-07T11:17:53.066479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:02.858244Z","title":"Mask r-cnn,","venue":null,"work_id":"f60b011f-727c-4330-be7e-4802a66351bf","year":2017},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:53.231180Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:f2e86bb8cbda485a7086c063ecb71d6d09460dedf44af66d6eb5a5fe2e11094e","observation_id":"6e2761d0-1d1b-4372-9cac-60290baba6ae","resolution":{"observed_at":"2026-08-07T11:18:02.926226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:53.394021Z","title":"FCOS: Fully Convolutional One-Stage Object Detection,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:53.394021Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:b77f8d7000d94f94e56a0c64f066d88c61af80882b360ca0376ae5a30b6cae96","observation_id":"1ebafa4b-9595-42e1-b662-ba014f1927b4","resolution":{"observed_at":"2026-08-07T11:17:53.394021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:53.654785Z","title":"CenterMask: Real-Time Anchor-Free Instance Segmentation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:53.654785Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:aab998c544cc5895ae532a77f26ef2401fbbafd36bd2bc513400737b8db14ffe","observation_id":"e9a6d437-e863-4303-a4d9-7614500cadde","resolution":{"observed_at":"2026-08-07T11:17:53.654785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:02.688087Z","title":"Masked-Attention Mask Transformer for Universal Image Segmentation,","venue":null,"work_id":"2e51abb3-d34e-4c0c-ae81-5e6ed86c49e4","year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:53.727179Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:d0e5762cae5dac65c593355a523e4b3b2553a70504a960956aad77dcd287ecba","observation_id":"3402b2cd-e077-4b93-9c33-1c62fa5c4402","resolution":{"observed_at":"2026-08-07T11:18:02.771028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:53.797099Z","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:53.797099Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:a8318081dff0133ac0e619e9c6a35062ee772da4a3c4c13796361e321298b143","observation_id":"55db46b0-a599-4955-90dd-6c95ab2c0e3c","resolution":{"observed_at":"2026-08-07T11:17:53.797099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:53.937229Z","title":"Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:53.937229Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:afdff67761177196de04b7b58b586909bfe08bc429f01a44245956cbf61abab9","observation_id":"b254de90-8d46-4dd7-994f-7380475e927d","resolution":{"observed_at":"2026-08-07T11:17:53.937229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:54.030832Z","title":"ImageNet: A large-scale hierarchical image database,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.030832Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:3ac2df24710d4c71febf5ebed1cbdabfa50f46368fbf4943b4894330e9d2b5ec","observation_id":"f308438e-c45c-4dce-9b50-f261a204af82","resolution":{"observed_at":"2026-08-07T11:17:54.030832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:02.357761Z","title":"ImageNet Classification with Deep Convolutional Neural Networks,","venue":null,"work_id":"af1be35c-1652-47d1-8add-b584ce3b1480","year":null},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.129846Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:f78daea2f4e80a91adf2069ac98364b6954f9a948c79ad12b616b75e25b13770","observation_id":"c4765dd7-3b09-4158-ab9a-d47f67a5b505","resolution":{"observed_at":"2026-08-07T11:18:02.443935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-07T11:17:54.318453Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.318453Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:154caf4b959a704168230c41668becf540fe09dc748df3aeb317b4d8be982b59","observation_id":"898ba2c9-989e-402b-beaf-b397cc139a51","resolution":{"observed_at":"2026-08-07T11:17:54.318453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:54.427726Z","title":"Deep Residual Learning for Image Recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.427726Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:0a260e3eb46120118a9f070e7232c8a4bb4191c2dac61d196b4fb98d44f7de70","observation_id":"b1c24b11-3efd-4053-a1ee-322aed6ed0c3","resolution":{"observed_at":"2026-08-07T11:17:54.427726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:02.533405Z","title":"Training data-efficient image transformers & distillation through attention,","venue":null,"work_id":"898118fc-d6a7-4ff3-b606-d2ffb027879b","year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.527117Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:0a0cc890d02796892dfa76b5b40d432a2096651c6d5dc3b1a999aa3355323cce","observation_id":"939baaa4-b0fc-45ea-8fdf-94d9ac0e86fc","resolution":{"observed_at":"2026-08-07T11:18:02.596359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.16527","last_updated":"2022-06-10T16:57:51Z","snapshot_observed_at":"2026-07-06T12:54:54.273968Z","submitted_at":"2022-03-30T17:58:23Z","title":"Exploring Plain Vision Transformer Backbones for Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.16527","snapshot_observed_at":"2026-08-07T11:17:54.608439Z","title":"Exploring Plain Vision Transformer Backbones for Object Detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.608439Z"},"links":{"cited_paper":"/paper/2203.16527","citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:c604e69e4f4b127ffac37cde87f68508c890938229fbb589f8adc8642cdc310a","observation_id":"8ab5abb8-4ca3-4a0d-ab6e-e39a49dfe3fa","resolution":{"observed_at":"2026-08-07T11:17:54.608439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:54.702663Z","title":"TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.702663Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:8324e2f9f4fb5d158f976c78a47d800f0c7b30f87ebaebaa7bdd167fcdc498a5","observation_id":"9fa4b16c-6cc0-439c-97bd-a1b4ad44c6c8","resolution":{"observed_at":"2026-08-07T11:17:54.702663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:54.790325Z","title":"Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.790325Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:0b3dfef675adf5bce3145d5da31f7ff4f2ff2f05e6edee47dd5195e01c4e2189","observation_id":"c0079dd7-0583-4ca9-ac91-54e87cd8439d","resolution":{"observed_at":"2026-08-07T11:17:54.790325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:54.902069Z","title":"Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.902069Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:59a7f3d4166fe6479e668dd85228c5aae39ae4ec89838e086a3bc9d9a2651139","observation_id":"6b7f5e51-514e-40d6-8a16-b876189885c5","resolution":{"observed_at":"2026-08-07T11:17:54.902069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:02.062116Z","title":"Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning,","venue":null,"work_id":"d844b4b2-8736-4f04-9aaf-95347e88391f","year":2024},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.968924Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:b64db90b5e6ae59f8e59427bfb74654686a5b6076f767a22c08bdf075eaa72d9","observation_id":"a7400643-d3d9-471a-b0e5-79c12b27a3a4","resolution":{"observed_at":"2026-08-07T11:18:02.116728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:01.874951Z","title":null,"venue":null,"work_id":"89aa462e-8f66-4168-a6de-83da009cb2df","year":2019},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.037467Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:151df372b53ac4edbbbe5ea18e4e6b55ccb3f04bbee2497e9ae928bd377b7d93","observation_id":"54e6d5c9-7d91-48a0-b10c-cdf7778d3563","resolution":{"observed_at":"2026-08-07T11:18:01.944019Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1790.33966","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:58.720559Z","title":"Frontera: The Evolution of Leadership Computing at the National Science Foundation,","venue":null,"work_id":"c3084c28-f111-4cd6-80c2-3b5ccf60cc06","year":2020},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.104344Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:08d77ec3119b5c2bd8bde505aedf30149593193a224e49b32706db9b616e6738","observation_id":"324cea8e-f005-4eba-8d92-de6abe88f8e3","resolution":{"observed_at":"2026-08-07T11:17:58.846930Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:01.689862Z","title":"Lonestar6","venue":null,"work_id":"e6c6c0ba-5b43-4b16-9e24-4dd9123d0684","year":2025},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.194518Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:04bd29592e76f6ca0fbbeb9ad753454a08c08a9c9fa3697a12c8ea9e8500ec2d","observation_id":"ed91c4e3-5bec-4f91-a1ba-c532550acf54","resolution":{"observed_at":"2026-08-07T11:18:01.778179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:01.536965Z","title":"Google Cloud Documentation,","venue":null,"work_id":"20d446cc-a02e-4593-95a4-8c16494eabca","year":null},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.282120Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:de98a9304159a17ec6362b4fd99ea918b5d4bff3c6a61915337fc00d20003e76","observation_id":"d367423d-5bdd-4bef-a491-5e291b033e60","resolution":{"observed_at":"2026-08-07T11:18:01.608664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:01.231151Z","title":"MIT Press, 2016","venue":null,"work_id":"020d678d-087b-42aa-9037-2cc89ae1c71e","year":2016},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.429368Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:1f67b174accd8108d2a97e7dd0fd050df1d0f0edba1f729a5d3d3817f4ad6caa","observation_id":"be04df60-45fb-4855-a2a9-df70f8801c2d","resolution":{"observed_at":"2026-08-07T11:18:01.302722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.11129","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:58.478665Z","title":"A raster version of the Circumpolar Arctic Vegetation Map (CAVM),","venue":null,"work_id":"7f413e24-24ed-4620-97c6-b66ceb2ddcfc","year":2019},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.520246Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:4266af089432063497817d4988bc832bce6c61dc482ba78cbbc07f712fb11c00","observation_id":"6f4ce893-b777-49e4-b69e-2917b570eee2","resolution":{"observed_at":"2026-08-07T11:17:58.566964Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:55.589230Z","title":"Circum-Arctic map of permafrost and ground-ice conditions,","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.589230Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:18ac026cd23bd87ac0270de9e10a94370d42045f5e067e89e13724f12fce87ee","observation_id":"edeb5be3-4d3a-45ac-b272-d1d205f68fa7","resolution":{"observed_at":"2026-08-07T11:17:55.589230Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07177","last_updated":"2021-06-23T05:13:04Z","snapshot_observed_at":"2026-08-08T01:18:48.924517Z","submitted_at":"2020-12-13T22:59:45Z","title":"Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07177","snapshot_observed_at":"2026-08-07T11:17:55.649787Z","title":"Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.649787Z"},"links":{"cited_paper":"/paper/2012.07177","citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:54cb5aaff4a8e059c3355afe1692c652470c92fe2866a131270750fa0a1b4340","observation_id":"e0434417-bddf-4621-a09c-71419252c8a2","resolution":{"observed_at":"2026-08-07T11:17:55.649787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:55.742324Z","title":"Fully convolutional networks for semantic segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.742324Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:02896501b8c4dcf4bff025b786e259a9d348ed07f3aaeab9fae322704e550b87","observation_id":"319728b1-6fd4-4c63-b04a-b34159f03f3b","resolution":{"observed_at":"2026-08-07T11:17:55.742324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:17:55.829619Z","title":"Microsoft COCO: Common Objects in Context,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.829619Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:851d45fc3e4db07002d8bf8031bf79f4d596f2da16c1218ecffef4b27363b70d","observation_id":"afa57e04-3c51-4bd0-9eb2-e23a90b7ce70","resolution":{"observed_at":"2026-08-07T11:17:55.829619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:01.060576Z","title":"He has a PhD in Computer Science","venue":null,"work_id":"53d8e8be-b4d6-42a9-9a1b-9aaf2b2f044a","year":2014},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.909126Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:92cf4b8c267bb1a5ad3a54f6cbe3674efeb39c9a51e931ba4d38a47a691e148b","observation_id":"d6379a4e-9777-473b-b6d1-8932ccc7bd0e","resolution":{"observed_at":"2026-08-07T11:18:01.160694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:02.200199Z","title":"07, 2025","venue":null,"work_id":"de66ac2d-5522-454e-835e-ee6283bf05b9","year":2025},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:54.225495Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:a98686c6e904c13df2147262bf06f7d11b7537ec24aee418093d9740a27cce78","observation_id":"fbeaa030-7722-4fda-9a05-fb7cfb5826df","resolution":{"observed_at":"2026-08-07T11:18:02.261864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:00.915744Z","title":"Her research interests include cyberinfrastructure, geospatial big data, GeoAI, and their applications in data-intensive environmental and social sciences","venue":null,"work_id":"d0988590-25b2-400d-a3b3-81ba0ff1f21d","year":2021},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.948003Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:fabbd5ee1baca165f25de2f540af6f8a45d5d053262c8ee7b9a31031ee5d8aff","observation_id":"0b737197-a9a1-4f4d-a294-18b9a2f5e742","resolution":{"observed_at":"2026-08-07T11:18:00.954203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:18:01.381461Z","title":"Available: https://cloud.google.com/docs","venue":null,"work_id":"34920046-8c24-49b3-b83c-fd3cc8f185d7","year":null},"citing_paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T11:17:55.339702Z"},"links":{"citing_paper":"/paper/2506.02868"},"observation_digest":"sha256:a6b238d0e8d9c63ec6609ae2b16a198620d83370ced3f3897f2313b6c6484784","observation_id":"55a8a271-3cc4-4dce-b917-2ecbd85845f5","resolution":{"observed_at":"2026-08-07T11:18:01.462076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.02868","last_updated":"2025-06-03T13:34:01Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T02:39:05.258130Z","submitted_at":"2025-06-03T13:34:01Z","title":"Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings"},"reference_resolution":{"displayed":72,"state_counts":{"malformed_identifier":4,"metadata_mismatch":8,"parse_uncertain":0,"unresolved":29,"verified_exact":12,"verified_fuzzy":19},"total_outbound_references":72},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2506.02868."}