{"as_of":"2026-08-12T04:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c61ac8ab4209874e4ba573a75e0138db614d0a6427b1752e278047cf7885c2ba","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:18:19.460424Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T00:37:18.706898Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.06721","last_updated":"2019-11-15T16:09:38Z","snapshot_observed_at":"2026-08-09T14:32:28.913367Z","submitted_at":"2019-11-15T16:09:38Z","title":"In-domain representation learning for remote sensing","version":1},"cited_work":{"arxiv_id":"1911.06721","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.06721","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In-domain representation learning for remote sensing","venue":null,"work_id":"7d84b6c6-180f-42c5-a6dc-28e54dae7a39","year":1911},"citing_paper":{"arxiv_id":"1910.04867","last_updated":"2020-02-21T13:36:15Z","snapshot_observed_at":"2026-08-09T06:48:42.729935Z","submitted_at":"2019-10-01T17:06:29Z","title":"A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-17T22:12:05.731960Z"},"links":{"cited_paper":"/paper/1911.06721","citing_paper":"/paper/1910.04867"},"observation_digest":"sha256:2b6578d08cc321dd47beba3e4cd8576cd341341186aefa59f269deb65740803c","observation_id":"86163c24-6824-4329-a5f7-d0e0993eb8d4","resolution":{"observed_at":"2026-05-17T22:12:05.801211Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.06721","last_updated":"2019-11-15T16:09:38Z","snapshot_observed_at":"2026-08-09T14:32:28.913367Z","submitted_at":"2019-11-15T16:09:38Z","title":"In-domain representation learning for remote sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.06721","snapshot_observed_at":"2026-08-11T12:18:19.460424Z","title":"In-domain representation learning for remote sensing","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2412.14428","last_updated":"2025-08-08T14:58:18Z","snapshot_observed_at":"2026-08-11T12:13:10.994292Z","submitted_at":"2024-12-19T00:52:25Z","title":"WildSAT: Learning Satellite Image Representations from Wildlife Observations","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T12:18:19.460424Z"},"links":{"cited_paper":"/paper/1911.06721","citing_paper":"/paper/2412.14428"},"observation_digest":"sha256:220916e4e701e0d0aa7d560272d47aa8c78adefdd8372eb2f1176fb36a01e81d","observation_id":"b68fa1c8-1f63-426b-b731-7680f9245cbf","resolution":{"observed_at":"2026-08-11T12:18:19.460424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.06721","last_updated":"2019-11-15T16:09:38Z","snapshot_observed_at":"2026-08-09T14:32:28.913367Z","submitted_at":"2019-11-15T16:09:38Z","title":"In-domain representation learning for remote sensing","version":1},"cited_work":{"arxiv_id":"1911.06721","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.06721","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In-domain representation learning for remote sensing","venue":null,"work_id":"7d84b6c6-180f-42c5-a6dc-28e54dae7a39","year":1911},"citing_paper":{"arxiv_id":"2503.08321","last_updated":"2026-04-22T03:58:20Z","snapshot_observed_at":"2026-08-04T20:26:13.218476Z","submitted_at":"2025-03-11T11:31:40Z","title":"i-WiViG: Interpretable Window Vision GNN","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-23T00:36:53.476267Z"},"links":{"cited_paper":"/paper/1911.06721","citing_paper":"/paper/2503.08321"},"observation_digest":"sha256:aff939ada4515a348adb2a84e646f23d9e5ebee55fdf70b7fef0b87b51a46bbe","observation_id":"dfbf4490-030c-4bf8-81a0-ca4331dc0331","resolution":{"observed_at":"2026-05-23T00:37:18.712572Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.06721","last_updated":"2019-11-15T16:09:38Z","snapshot_observed_at":"2026-08-09T14:32:28.913367Z","submitted_at":"2019-11-15T16:09:38Z","title":"In-domain representation learning for remote sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.06721","snapshot_observed_at":"2026-08-07T12:32:30.216555Z","title":"S., Zhai, X., and Houlsby, N","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2505.24340","last_updated":"2025-05-30T08:32:37Z","snapshot_observed_at":"2026-08-12T04:21:05.862812Z","submitted_at":"2025-05-30T08:32:37Z","title":"GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T12:32:30.216555Z"},"links":{"cited_paper":"/paper/1911.06721","citing_paper":"/paper/2505.24340"},"observation_digest":"sha256:1c077798e70e07710c954ba0b33d93dd048be3089def31c82c142369c1f32946","observation_id":"70f415d4-94db-4251-8c1c-f1739eabfae4","resolution":{"observed_at":"2026-08-07T12:32:30.216555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.06721","last_updated":"2019-11-15T16:09:38Z","snapshot_observed_at":"2026-08-09T14:32:28.913367Z","submitted_at":"2019-11-15T16:09:38Z","title":"In-domain representation learning for remote sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.06721","snapshot_observed_at":"2026-08-07T05:06:22.508597Z","title":"Neumann, M., Pinto, A","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2506.08780","last_updated":"2025-06-10T13:24:55Z","snapshot_observed_at":"2026-08-11T17:28:40.596634Z","submitted_at":"2025-06-10T13:24:55Z","title":"Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T05:06:22.508597Z"},"links":{"cited_paper":"/paper/1911.06721","citing_paper":"/paper/2506.08780"},"observation_digest":"sha256:5f0d4a5ab5a475f96c46b6aaf9a74fd3d56e7660f65015205009bfc1778350bf","observation_id":"41607d45-1b98-42fd-9d1b-94963c155465","resolution":{"observed_at":"2026-08-07T05:06:22.508597Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.06721","last_updated":"2019-11-15T16:09:38Z","snapshot_observed_at":"2026-08-09T14:32:28.913367Z","submitted_at":"2019-11-15T16:09:38Z","title":"In-domain representation learning for remote sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.06721","snapshot_observed_at":"2026-08-06T17:36:38.948824Z","title":"Neumann, A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.10381","last_updated":"2025-07-14T15:22:29Z","snapshot_observed_at":"2026-08-09T14:32:46.240505Z","submitted_at":"2025-07-14T15:22:29Z","title":"Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:36:38.948824Z"},"links":{"cited_paper":"/paper/1911.06721","citing_paper":"/paper/2507.10381"},"observation_digest":"sha256:65e32aae1c50a61095cdc398ed00c3a492ffadcf9dcacf6d7406e3187e5db89a","observation_id":"a116a91c-f060-40ad-b233-7ff742d2943a","resolution":{"observed_at":"2026-08-06T17:36:38.948824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1911.06721/citation-record","integrity":"/paper/1911.06721/integrity","json":"/paper/1911.06721/citation-record.json","paper":"/paper/1911.06721"},"outbound":[],"paper":{"arxiv_id":"1911.06721","last_updated":"2019-11-15T16:09:38Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T14:32:28.913367Z","submitted_at":"2019-11-15T16:09:38Z","title":"In-domain representation learning for remote sensing"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1911.06721."}