{"as_of":"2026-08-19T19:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:47389104c6afcf3d5cfe631de77add41df99e7a9784f042412f3b844c6f482d1","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-07T23:30:39.306706Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2607.05207/citation-record","integrity":"/paper/2607.05207/integrity","json":"/paper/2607.05207/citation-record.json","paper":"/paper/2607.05207"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T23:34:19.695753Z","title":"Understanding inter- mediate layers using linear classifier probes, 2018","venue":null,"work_id":"be1f2ad4-ce93-48a1-806a-8331e3d430a5","year":2018},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:a6f6230af97f9b059497ea4f21abeac5ec7f6eed890555ec97b8939c74d6e1cf","observation_id":"724b1fef-f378-47b4-860f-358d07cd2a63","resolution":{"observed_at":"2026-07-07T23:34:19.697195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.629136Z","title":"Vi- creg: Variance-invariance-covariance regularization for self- supervised learning, 2022","venue":null,"work_id":"e1df1dd1-895d-4faa-a6ab-5c81b61b2a24","year":2022},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:d4937d0caa9d34cefcdafa6816a7fb097a657753702343ed4468cf039019f874","observation_id":"91de1b3c-ade0-449a-85d6-facbfe2d9478","resolution":{"observed_at":"2026-07-07T23:34:19.631072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.631421Z","title":"Emerg- ing properties in self-supervised vision transformers, 2021","venue":null,"work_id":"1f45beb1-413d-4fd4-b42c-9efda88e61a0","year":2021},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:4cd8c340f72b04080477aef5a901ffb8e471b9f55a295811ee32500c6050f4a4","observation_id":"a765d703-be4d-4826-bc97-d4f9ed7d51cf","resolution":{"observed_at":"2026-07-07T23:34:19.632974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.29330","last_updated":"2026-05-28T04:06:30Z","snapshot_observed_at":"2026-08-08T08:16:16.085667Z","submitted_at":"2026-05-28T04:06:30Z","title":"EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation","version":1},"cited_work":{"arxiv_id":"2605.29330","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.29330","snapshot_observed_at":"2026-07-07T23:34:19.609467Z","title":"EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation","venue":"cs.CV","work_id":"75d8af8e-1055-42e4-9b21-2fd4d74f029e","year":2026},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"cited_paper":"/paper/2605.29330","citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:1f285bc1be6ef6f03835ee647035f18078742d0ff2d26d43e11cd144d112b74f","observation_id":"08ed879a-0615-4013-9bbe-cf52b1f5d0ec","resolution":{"observed_at":"2026-07-07T23:34:19.611353Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.01232","last_updated":"2019-07-15T02:40:55Z","snapshot_observed_at":"2026-08-16T05:05:49.034195Z","submitted_at":"2018-07-03T15:12:59Z","title":"SpaceNet: A Remote Sensing Dataset and Challenge Series","version":3},"cited_work":{"arxiv_id":"1807.01232","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.01232","snapshot_observed_at":"2026-07-07T23:34:19.616879Z","title":"SpaceNet: A Remote Sensing Dataset and Challenge Series","venue":"cs.CV","work_id":"0591af48-a9fe-48c0-843a-7477a05b41f0","year":2018},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"cited_paper":"/paper/1807.01232","citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:afadffedc695ac0fc7d959e7e46ffc69ceba6afe571a6d4b4906569a8cdf33b5","observation_id":"9a5429e7-bebb-4862-936f-50013bfbd676","resolution":{"observed_at":"2026-07-07T23:34:19.618903Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.642310Z","title":null,"venue":null,"work_id":"808f4709-beee-4271-9e87-4c70b5c4ac3f","year":2023},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:6e470bbc8f651cc1c46b6f68a128c2b1747498eba2ff0dba22d76eae37515094","observation_id":"22438e03-e380-4009-9944-7400a3ae339c","resolution":{"observed_at":"2026-07-07T23:34:19.643863Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.646405Z","title":"Panoptic seg- mentation of satellite image time series with convolutional temporal attention networks, 2022","venue":null,"work_id":"fd24bdb1-20aa-4819-9729-443d70d9ea02","year":2022},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:0112c62d82314c89e005d9ec5d123bd684377ab9b7a2af50a3382101a5b011ed","observation_id":"aef0d16f-dd16-4835-ab81-3297528d49bc","resolution":{"observed_at":"2026-07-07T23:34:19.648041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.680781Z","title":"Multi-modal temporal attention models for crop mapping from satellite time series, 2021","venue":null,"work_id":"a1119746-26eb-4241-b691-e531938652c3","year":2021},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:f01a1d5c002292b1f1666e223757d653d61b209c95e2463add1264cf3f72b474","observation_id":"68eb408b-0c8c-44ee-9b92-26d8848e5c9a","resolution":{"observed_at":"2026-07-07T23:34:19.682757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.654688Z","title":"Rankme: Assessing the downstream perfor- mance of pretrained self-supervised representations by their rank, 2023","venue":null,"work_id":"c648ef57-3389-4f9a-803f-72e3605722c0","year":2023},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:4a02bfd075c5c0318ecec2e381c5879ae2a3f45dbbecda2dd155a633ee32fa5e","observation_id":"3782d07d-7dd9-4eec-b43b-48667f596e0f","resolution":{"observed_at":"2026-07-07T23:34:19.656325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.699924Z","title":"Momentum contrast for unsupervised visual rep- resentation learning, 2020","venue":null,"work_id":"d1edf8e7-6302-4e34-a0f1-5139da8e52f0","year":2020},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:ab8dbb5d72554be274ff00596fc9f9c99cc837c956961262043a2c62dabbf044","observation_id":"54287e9f-d2ce-4c0b-bbc6-074f7c00a362","resolution":{"observed_at":"2026-07-07T23:34:19.701380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.662880Z","title":"Masked autoencoders are scalable vision learners, 2021","venue":null,"work_id":"e961805a-06f9-43ac-b663-cffd7b912144","year":2021},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:0c921be1e70b16b3c928f54599b0f4a0110808f523f45f36bbc808441d001cac","observation_id":"fc3a1ca0-04cf-4458-be9a-2f4af4ba642d","resolution":{"observed_at":"2026-07-07T23:34:19.664441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.671089Z","title":"The ERA5 global reanalysis.Quarterly Journal of the Royal Meteorological Society, 146(730):1999–2049,","venue":null,"work_id":"19b99952-2101-4022-b1e4-25e0de5fc2c7","year":1999},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:53d9878738482b9320bb8d9839139427b5ec3d9067f4497479d5bc0dbafd8a67","observation_id":"e116923b-01af-4d78-b8d6-4e47c4faef5e","resolution":{"observed_at":"2026-07-07T23:34:19.672824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.666832Z","title":"Designing and interpreting probes with control tasks, 2019","venue":null,"work_id":"dd0f96e4-06e2-4e25-8e53-0155c123ab1b","year":2019},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:4474f22bddc4eb1296b01e33eff2261a96c7b26ebf614758e905d1a778660dbc","observation_id":"a942a137-e796-49ec-95b3-35d25523cd94","resolution":{"observed_at":"2026-07-07T23:34:19.668410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.682980Z","title":"Multilayer feedforward networks are universal approxima- tors.Neural Networks, 2(5):359–366, 1989","venue":null,"work_id":"c1cff0df-589e-4ad8-a27d-38c521beb524","year":1989},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:b0a8efaa99e4f4fcfa64d37b5fa1b7de43208eb39fcd34a4001556e0d4b00426","observation_id":"2acc72ee-55fa-44bb-acd9-56bf81d79eb3","resolution":{"observed_at":"2026-07-07T23:34:19.684607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.644086Z","title":null,"venue":null,"work_id":"da733341-6277-417e-bbf2-389cd0ad57a1","year":null},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:ff1361d74e79440a6b5c2b449024e5261b3e9f534e836497cf8d9bfa08856ad0","observation_id":"574dda55-5a6f-492e-b80a-13b349c87a58","resolution":{"observed_at":"2026-07-07T23:34:19.645501Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.635752Z","title":"Terramind: Large-scale generative mul- timodality for earth observation, 2026","venue":null,"work_id":"f8718dc5-4192-4867-b00a-8640fbfe1771","year":2026},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:676146b104ade4014e0f6b0ba42b10314ce77e808cc7b6d0ceddccfbd788af3b","observation_id":"f20abf05-ed9d-48d6-af20-8f0ed19fc428","resolution":{"observed_at":"2026-07-07T23:34:19.637251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.637731Z","title":"Detecting marine pollutants and sea surface features with deep learning in sentinel-2 im- agery.ISPRS Journal of Photogrammetry and Remote Sens- ing, 210:39–54, 2024","venue":null,"work_id":"d3d29649-0d4c-47e0-b656-567b8ad8e6ae","year":2024},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:26bfcbcdc65903cc9511b88a73d1e2bb068f6427def5f93c2da8527595fcea6d","observation_id":"d7b73e9a-b1e6-432c-861b-d7c0f7a4a64a","resolution":{"observed_at":"2026-07-07T23:34:19.639931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.697796Z","title":"Geo-bench: Toward foundation models for earth monitoring, 2023","venue":null,"work_id":"4ea933f8-8bca-425d-b85f-571304421fc4","year":2023},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:60bc1d5e675ea5232bcef9b01e7487f48c0b16cad461215144d79525325f8f92","observation_id":"4938b399-41af-4abd-b0fc-d28792baf899","resolution":{"observed_at":"2026-07-07T23:34:19.699713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.687383Z","title":"Re- moteclip: A vision language foundation model for remote sensing, 2024","venue":null,"work_id":"4a35184c-6d7f-4b2e-8a68-29560611941f","year":2024},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:26e2a56ccf86012340dd2464eff7836f0606db6f3eeb0ed6480c167545260294","observation_id":"8a40f232-a274-4c39-8135-f2f0b92fe905","resolution":{"observed_at":"2026-07-07T23:34:19.688943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.689431Z","title":"A closer look at benchmarking self-supervised pre- training with image classification, 2024","venue":null,"work_id":"cd3846b1-471b-4fc9-9b16-373b1644f606","year":2024},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:2effff23d891b9517b646b78c1ddafb4684aab027cf5e3575b5d9796fb62572f","observation_id":"699270ca-a266-444d-941b-38aa2d29336a","resolution":{"observed_at":"2026-07-07T23:34:19.691514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.691708Z","title":"Pangaea: A global and inclusive benchmark for geospatial foundation models, 2025","venue":null,"work_id":"afdbef00-44ff-49e1-b71d-5b2d124eace2","year":2025},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:a9b613e09a4ec1ab9c4f2b3990f7537d78b5777efa9a4fdf9f3f5abfb249a10f","observation_id":"14662eff-504b-425e-94c7-d75bb675f758","resolution":{"observed_at":"2026-07-07T23:34:19.693233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.702074Z","title":"Ai4smallfarms: A dataset for crop field delineation in south- east asian smallholder farms.IEEE Geoscience and Remote Sensing Letters, 20:1–5, 2023","venue":null,"work_id":"a1d95aba-6e89-499c-937a-fc6f528af51c","year":2023},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:04419352632990f265c9977fd8ea75f88c6882ca8bc418a9b7edc052c14ca5f0","observation_id":"b34052cd-58ca-4ae0-a009-fe99b60d453e","resolution":{"observed_at":"2026-07-07T23:34:19.703772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.668865Z","title":"Information- theoretic probing for linguistic structure","venue":null,"work_id":"098a4193-1f7d-477c-b8ac-b02f994550e7","year":2020},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:5c4f683c361a00ff6d70e5aa2e2b8133840bec7de088c729a2711366e07adc6e","observation_id":"cbef7851-7449-4aa8-a926-57db77af9b36","resolution":{"observed_at":"2026-07-07T23:34:19.670839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.675245Z","title":"Towards a unified representation evaluation framework beyond down- stream tasks, 2025","venue":null,"work_id":"a750bf3b-9e68-40c8-9244-f7828395bb63","year":2025},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:e5f02bbff7d88d9526c807a37b99b7f4a9fca5037e11ec6d810b5ce918fc35c7","observation_id":"a55ef12d-6264-4e89-8568-81ce130c8d2d","resolution":{"observed_at":"2026-07-07T23:34:19.677064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.656890Z","title":"Koeniguer, Bertrand Le Saux, M","venue":null,"work_id":"50362378-6379-4289-8d37-5caecf83fac1","year":2020},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:6272af22839afabdb96dfbd71c1ab03deef8ec617f63ba93a3b307c8c8ee67dd","observation_id":"1d28c9ac-cbfe-4d81-84c6-1d861e59e943","resolution":{"observed_at":"2026-07-07T23:34:19.658477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.652484Z","title":"Measuring the intrinsic dimension of earth repre- sentations, 2026","venue":null,"work_id":"5189acdd-952f-4b04-9c79-a4c544d4f9d8","year":2026},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:343e58fb92039477fa7e286f6abb0dcea01f318153567883a795815cb227a6da","observation_id":"7d12610b-9565-4f15-a220-283da0ad51a0","resolution":{"observed_at":"2026-07-07T23:34:19.654479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.685279Z","title":"Reed, Ritwik Gupta, Shufan Li, Sarah Brock- man, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, and Trevor Darrell","venue":null,"work_id":"1aa783ab-1fea-40e2-badc-2940b67a876c","year":2023},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:45e3161255d50c24414fddb37612cf1c3714ca97685d2cb8cee819652e0928e1","observation_id":"909859da-06f4-400f-868c-6c845d40df7c","resolution":{"observed_at":"2026-07-07T23:34:19.687119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.673277Z","title":"The effective rank: A mea- sure of effective dimensionality","venue":null,"work_id":"b688375e-03a5-43e8-bfec-fe434f6f0832","year":2007},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:33a138494d9c973c91d4d6d717e557d2a7ccae44ddaf9f331ad8d92ed5743d9d","observation_id":"d4284c87-a9be-430f-bf82-f47c2fcd5924","resolution":{"observed_at":"2026-07-07T23:34:19.675019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.648323Z","title":"Burke, and D","venue":null,"work_id":"6839158c-2aeb-42c8-a81a-bd2cc253fa95","year":2019},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:02034d2a71fe8a57b4ff1aecaf11029aa1f4e3b49b790e36f11ae21716d8bc32","observation_id":"df2e14a9-5365-4403-8c2e-9d5ed46926cf","resolution":{"observed_at":"2026-07-07T23:34:19.649990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.640158Z","title":null,"venue":null,"work_id":"8073a912-3ff8-4316-96a4-2e982a1cbd09","year":2025},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:2cfc90d9437d414b6d45b05248083bad5b9217d2dd549e4a7b8ca9f4e100fdf7","observation_id":"c48ddeff-486e-4b82-ac6a-95aca4b0206a","resolution":{"observed_at":"2026-07-07T23:34:19.641587Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.633741Z","title":"Prithvi-eo-2.0: A versatile multi-temporal founda- tion model for earth observation applications, 2026","venue":null,"work_id":"9934603e-3fd9-44c9-b870-b6472c407afc","year":2026},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:0cf6a938ea4ef5f47e31ca6520afad92f2a2a80108692fa54492fd6e28daa10b","observation_id":"ff8d621a-86dc-471e-afee-a0b50abca22a","resolution":{"observed_at":"2026-07-07T23:34:19.635440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.660694Z","title":"Dynamicearthnet: Daily multi-spectral satellite dataset for semantic change segmentation","venue":null,"work_id":"a03b1cb5-bcf5-4cd8-961a-b315fc3b509c","year":2022},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:d7eb72d427689e50936bbe9dca4db8583d4b0f7221c3a39d9c0fde27c6dfe466","observation_id":"cc08f73d-b8f2-4087-9391-6cceeb90b2e3","resolution":{"observed_at":"2026-07-07T23:34:19.662639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.693852Z","title":"Enabling country-scale land cover mapping with meter-resolution satellite imagery.ISPRS Journal of Photogrammetry and Re- mote Sensing, 196:178–196, 2023","venue":null,"work_id":"8db9a3f2-ef6c-462b-8141-7a25f512e4d9","year":2023},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:1f5a53e8fb8d097c920c37a0bb04ab4faf99ef36f17046d547ae9d5695848118","observation_id":"0bb02687-f4c1-4211-83a0-00cb19dfec75","resolution":{"observed_at":"2026-07-07T23:34:19.695572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.17914","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T23:34:19.613196Z","title":"Albrecht","venue":null,"work_id":"a7198a85-ad18-433e-a3bf-d28e29a0799c","year":2025},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:370a02a2c803aa954a2d6b14c16b89fd1fd0deb2951ed711a7405e28533fcb48","observation_id":"89df2dd1-7189-40ed-8db2-8faa0a73be22","resolution":{"observed_at":"2026-07-07T23:34:19.615147Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.677888Z","title":"Understanding contrastive representation learning through alignment and uniformity on the hypersphere","venue":null,"work_id":"62d6e75c-78ee-47d1-8182-f1fa1b20ad48","year":null},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:41104d53ea6207950b86ca41fc2a16653a37de16f5c0d00a22a1d780d7e137ec","observation_id":"a98b2abb-98bf-4e49-a384-4b71e41cd461","resolution":{"observed_at":"2026-07-07T23:34:19.680548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.07044","last_updated":"2023-05-29T13:57:01Z","snapshot_observed_at":"2026-08-18T07:21:37.208662Z","submitted_at":"2022-11-13T23:38:27Z","title":"SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation","version":2},"cited_work":{"arxiv_id":"2211.07044","doi":"10.48550/arxiv.2211.07044","metadata_source":"pith","pith_arxiv_id":"2211.07044","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Zhu, Xiao Xiang , year=","venue":"cs.CV","work_id":"2311fe45-93a6-4560-aaa1-1593a1b84635","year":2022},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"cited_paper":"/paper/2211.07044","citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:747199e351f9fd5ecb1ae8e8528e46ccaf58c13cb1bff8bcafa5f532a1c8b7d6","observation_id":"ee2510d2-8ffc-4539-bdb8-1a77097d726b","resolution":{"observed_at":"2026-07-07T23:34:19.622390Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.664999Z","title":"Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, and Xiao Xiang Zhu","venue":null,"work_id":"9b72fd86-1d49-4303-bf4c-3166a0221ab2","year":2025},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:9c22bc6f4b4dcee1d31f57ad0f26f88ba8f457e0f53e9fd6784d0449b69ab365","observation_id":"4440e388-8444-4fc2-bac6-f764376f365d","resolution":{"observed_at":"2026-07-07T23:34:19.666615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.658719Z","title":"Lobell, and Stefano Ermon","venue":null,"work_id":"2b25a788-3600-4809-a93c-96b06dcac3be","year":2021},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:8c0786e7cbc367d63f850ae6afcbabf28a485d8a3fcd03a6b1832fd73e49187d","observation_id":"7b31228e-417e-4a9e-9055-431d4c5ac5b5","resolution":{"observed_at":"2026-07-07T23:34:19.660110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-07T23:34:19.650228Z","title":"Dataset Curation and Statistics This section summarizes the statistics of the co-located ERA5 variables used throughout the study","venue":null,"work_id":"3578f02e-b1dd-4654-86d4-1022c7882071","year":null},"citing_paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-07T23:30:39.306706Z"},"links":{"citing_paper":"/paper/2607.05207"},"observation_digest":"sha256:14163417a367df98dbc7f94b25a63d32cd83b4a8167d1876f4b4570cf2b68a6a","observation_id":"48d6abbc-7363-4f76-9e87-50a656203c83","resolution":{"observed_at":"2026-07-07T23:34:19.651753Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05207","last_updated":"2026-07-06T15:24:25Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T15:50:09.990471Z","submitted_at":"2026-07-06T15:24:25Z","title":"Probing Geospatial SSL Representations with Environmental Signals"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":3,"verified_fuzzy":31},"total_outbound_references":39},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.05207."}