{"as_of":"2026-08-18T12:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d4cf9ae1a40f9ff0f9c6f7c07b96b24195e8cd82562dc93f92069e5f1af06f5","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:11:23.400903Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2411.14560/citation-record","integrity":"/paper/2411.14560/integrity","json":"/paper/2411.14560/citation-record.json","paper":"/paper/2411.14560"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:11:23.837036Z","title":"GeoAI: Where machine learning and big data converge in GIScience,","venue":null,"work_id":"e407549a-f653-492b-91b7-aacea9218e61","year":2020},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.352965Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:6a83016e2610cd2693e7fff4621da8bac146cb4052375b661459920d34994a8c","observation_id":"b0653a27-dacb-43e8-b7c4-126b4bb1e469","resolution":{"observed_at":"2026-08-12T15:11:23.840545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.827347Z","title":null,"venue":null,"work_id":"c0bf79e4-0858-439d-9c65-53ec097a48b8","year":2024},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.356806Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:70e24cc99baf7eb427131eefbc694b65389ca5bf09b2f38dfb3cf57cdd1e884d","observation_id":"009e68a3-4cc7-4713-a6df-444a3b8e2f9b","resolution":{"observed_at":"2026-08-12T15:11:23.830853Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.360037Z","title":"A review of location encoding for GeoAI: methods and applications,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.360037Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:bf67eeb69ee32b235b9c826c98fb84327a3d7ca7004052a73b3f911df371d27c","observation_id":"daffd5b1-0001-4f02-9d26-7743b86a1fa7","resolution":{"observed_at":"2026-08-12T15:11:23.360037Z","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":"2026-08-12T15:11:23.816552Z","title":"Presence-only geographical priors for fine-grained image classification,","venue":null,"work_id":"8f72b4cc-c1c7-459b-b733-e7dec4884393","year":2019},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.363085Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:c541a7f8cd21692ac296da4e6bf9ee56514c238c07463e42c6f253d56e35ab25","observation_id":"170a42d6-9a42-4452-b751-e0033d50cce2","resolution":{"observed_at":"2026-08-12T15:11:23.820395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.805730Z","title":"Geography-aware self-supervised learning,","venue":null,"work_id":"9c933bd1-4b0d-4d5d-9abc-4c0d7e056c5b","year":2021},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.366551Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:107f68018a4af12c958a20d90fb42aad4308b348a0573f5b27ba5a8cecfcb99a","observation_id":"7bf71b71-98cc-4701-aab2-795107c7d3ed","resolution":{"observed_at":"2026-08-12T15:11:23.809275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.370354Z","title":"GPS2Vec: Towards Generating Worldwide GPS Embeddings,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.370354Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:0a7acd9b8c775929aa7fe50fde74cd87aff4470b555463ec4370ed5a28484a88","observation_id":"5c3b7aed-bb46-4614-aadb-cb5fdc538b3e","resolution":{"observed_at":"2026-08-12T15:11:23.370354Z","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":"2026-08-12T15:11:23.792955Z","title":"Sphere2Vec: A general-purpose location representation learning over a spherical surface for large -scale geospatial predictions,","venue":null,"work_id":"f2974aa0-46f3-45c8-9df6-1387f86f240d","year":2023},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.374030Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:d92a1a93b09b332e46ea66f5aec435829333dbebcd5a6afed403f595f1f03f84","observation_id":"3433dec2-0b80-40fa-a2ea-947fae3d52b9","resolution":{"observed_at":"2026-08-12T15:11:23.797619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.780317Z","title":"Csp: Self-supervised contrastive spatial pre -training for geospatial-visual representations,","venue":null,"work_id":"677aa498-7f68-449a-978f-f2100cf20cfa","year":2023},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.376870Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:6206ce70519746cc9815635157b863fba63eb21a44efbb38170a35f72f161d46","observation_id":"4bd4274b-96a8-4893-852f-5eddaad7956d","resolution":{"observed_at":"2026-08-12T15:11:23.784155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17179","last_updated":"2024-04-12T22:23:32Z","snapshot_observed_at":"2026-08-16T14:39:29.784765Z","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":"2026-08-12T15:11:23.379809Z","title":"Satclip: Global, general- purpose location embeddings with satellite imagery,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.379809Z"},"links":{"cited_paper":"/paper/2311.17179","citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:9d4780b00fa67ea5e3b8dbe4e791f29d0155e16544354d69e5d3a85397199ed9","observation_id":"edd9208a-c402-4644-b919-1837e141b63d","resolution":{"observed_at":"2026-08-12T15:11:23.379809Z","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":"2026-08-12T15:11:23.769900Z","title":"Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo- localization,","venue":null,"work_id":"4d3b1e17-e9c5-4789-bc88-71827218988a","year":2024},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.383985Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:6f77926a2f5aa088df9082a14f0b55c9457c3bd026a1f6a41a3237d7b1b1ef61","observation_id":"a3e477d9-eddb-4b94-b59d-edc6f40bfb98","resolution":{"observed_at":"2026-08-12T15:11:23.773522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.390968Z","title":"Rings, circles, and null-models for point pattern analysis in ecology,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.390968Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:163290cb819a4344312127ee9226aaf510e90bb8a2083a3e9d99ae67e5d10fde","observation_id":"77fbf8ff-2a04-4a46-9e4b-a5052084703c","resolution":{"observed_at":"2026-08-12T15:11:23.390968Z","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":"0124.2016","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:11:23.495376Z","title":"Local Indicator of Colocation Quotient with a Statistical Significance Test: Examining Spatial Association of Crime and Facilities,","venue":null,"work_id":"3967b722-3769-47b0-8ba2-aeedf01e4777","year":2017},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.394168Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:c108f1d5ff031b4eb1082b650c37633ca304c459cdb37ef7e33644603432855f","observation_id":"33c8202c-8168-4d80-b81d-afc622496470","resolution":{"observed_at":"2026-08-12T15:11:23.503720Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.748851Z","title":"GeoImageNet: a multi -source natural feature benchmark dataset for GeoAI and supervised machine learning","venue":null,"work_id":"a9a021f7-48a6-4625-a4e1-ca54522aa549","year":2023},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.397636Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:240a239723026c242c22b84c43f8ff1cb66df1f07be63cad79a2cbe631756a31","observation_id":"bb607174-4cb0-46ce-b4fe-8781830e1847","resolution":{"observed_at":"2026-08-12T15:11:23.752583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.738118Z","title":"Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi’s domain adaptability","venue":null,"work_id":"3c360959-3322-427d-aa7e-cf3584e9de5b","year":2024},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.400903Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:655b6132a26a3235cef6b3b43a56849f03b6aa5eee59d39dcfd5420e06150306","observation_id":"3d150bd5-1bc1-4f45-b4ea-9bceeb024c04","resolution":{"observed_at":"2026-08-12T15:11:23.741778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T15:11:23.760059Z","title":"Available: https://proceedings.neurips.cc/paper_files/paper/2023/hash/1b57aaddf85ab01a 2445a79c9edc1f4b-Abstract-Conference.html","venue":null,"work_id":"383fcdc0-435f-4693-b696-5b500f0f7600","year":2023},"citing_paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T15:11:23.387114Z"},"links":{"citing_paper":"/paper/2411.14560"},"observation_digest":"sha256:826b25137a0dd4448ca8c24dd859a339ad0b951f349a6a35ca7f49a048c3333b","observation_id":"ea4f4b8a-4166-4fe9-bceb-64b1a7d4ac97","resolution":{"observed_at":"2026-08-12T15:11:23.763791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.14560","last_updated":"2024-11-21T20:17:41Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T01:05:19.279534Z","submitted_at":"2024-11-21T20:17:41Z","title":"Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":9},"total_outbound_references":15},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.14560."}