{"as_of":"2026-08-23T14:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6159607a489802584d5f9cac3348ea55665952bf6054dcfc713c3e95b1bdd482","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":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":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:45:38.052273Z","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":"2026-07-02T21:17:25.038713Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-10T19:26:44.891341Z","title":"reben: Refined bigearth- net dataset for remote sensing image analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.10144","last_updated":"2025-01-17T12:12:33Z","snapshot_observed_at":"2026-08-15T01:57:54.084487Z","submitted_at":"2025-01-17T12:12:33Z","title":"A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T19:26:44.891341Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2501.10144"},"observation_digest":"sha256:d8f7d3705a81b157e1670b5224bbd3529ebe065e6a59379f9bc927b1aeec5f17","observation_id":"fd2f19f5-4f7e-45d9-8907-80706657e817","resolution":{"observed_at":"2026-08-10T19:26:44.891341Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-10T00:57:50.108250Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18060","last_updated":"2025-01-29T23:55:23Z","snapshot_observed_at":"2026-08-20T01:21:20.782659Z","submitted_at":"2025-01-29T23:55:23Z","title":"Noise-Adaptive Conformal Classification with Marginal Coverage","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T00:57:50.108250Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2501.18060"},"observation_digest":"sha256:8ea1496c0b0d3db3ebdcb65ce1b2ce3e5f73af28d4ce13da9d18de325b3d282d","observation_id":"0b9fa89c-3036-476e-81e9-f4b6148a91ef","resolution":{"observed_at":"2026-08-10T00:57:50.108250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-16T10:45:38.052273Z","title":"arXiv preprint arXiv:2407.03653 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17397","last_updated":"2025-06-13T11:18:58Z","snapshot_observed_at":"2026-08-18T09:37:28.260814Z","submitted_at":"2025-04-24T09:37:02Z","title":"Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T10:45:38.052273Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2504.17397"},"observation_digest":"sha256:786f1786d85a13a4d0943720d7e8f6da52c653c2cd9ad8673ee5d6ec79afa4a1","observation_id":"0ba31301-31fb-4a3c-b965-8054b263d037","resolution":{"observed_at":"2026-08-16T10:45:38.052273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-16T05:52:16.731679Z","title":"reben: Refined bigearthnet dataset for remote sensing image analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.19589","last_updated":"2025-04-28T08:51:54Z","snapshot_observed_at":"2026-08-18T01:33:43.892753Z","submitted_at":"2025-04-28T08:51:54Z","title":"Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T05:52:16.731679Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2504.19589"},"observation_digest":"sha256:ba57efe28b0ef01b04ceb9aed9f4c0ef30f0a89290c12d6e641354c2ca8efb54","observation_id":"b901ebb1-bddc-44ae-b84c-db6f8b26c735","resolution":{"observed_at":"2026-08-16T05:52:16.731679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-15T20:01:54.295480Z","title":"reben: Refined bigearthnet dataset for remote sensing image analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13542","last_updated":"2025-09-09T09:27:04Z","snapshot_observed_at":"2026-08-19T15:29:18.200676Z","submitted_at":"2025-06-16T14:30:37Z","title":"Atomizer: Generalizing to new modalities by breaking satellite images down to a set of scalars","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:01:54.295480Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2506.13542"},"observation_digest":"sha256:a7d0b0db40613c4ea5038b78ce4d90e27980b92ad10360b172dba679e6cc770d","observation_id":"7e04f96a-e403-4c02-9f6f-f66c5f8f5331","resolution":{"observed_at":"2026-08-15T20:01:54.295480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-15T18:35:38.246292Z","title":"reben: Refined bigearthnet dataset for remote sensing image analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19656","last_updated":"2025-06-24T14:20:05Z","snapshot_observed_at":"2026-08-21T22:14:23.010399Z","submitted_at":"2025-06-24T14:20:05Z","title":"Video Compression for Spatiotemporal Earth System Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:35:38.246292Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2506.19656"},"observation_digest":"sha256:e531438c96ca1372055c3f98cd0e042b953e4a41bdc3ab41ee4e90833df7b5dd","observation_id":"a9ddf7ec-14ff-4065-86d7-e54bf2a72293","resolution":{"observed_at":"2026-08-15T18:35:38.246292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-06T18:19:58.948298Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08683","last_updated":"2025-07-11T15:33:51Z","snapshot_observed_at":"2026-08-18T01:38:13.227439Z","submitted_at":"2025-07-11T15:33:51Z","title":"MoSAiC: Multi-Modal Multi-Label Supervision-Aware Contrastive Learning for Remote Sensing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:58.948298Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2507.08683"},"observation_digest":"sha256:5eee7b36955b04c484cbce56eb9edcffeae01901b00779e56c53862bae45c680","observation_id":"8bad79ec-1a32-44b6-a19e-e94dcf086646","resolution":{"observed_at":"2026-08-06T18:19:58.948298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-06T17:08:10.625427Z","title":"N., Hackel, L","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13385","last_updated":"2025-07-15T22:57:29Z","snapshot_observed_at":"2026-08-17T11:15:44.901884Z","submitted_at":"2025-07-15T22:57:29Z","title":"Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T17:08:10.625427Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2507.13385"},"observation_digest":"sha256:823b65126150054b612c54a036e559a9f0103b27bae2be796f8200218cdc3621","observation_id":"1b8b3f29-5097-4620-951e-7c5a08a23415","resolution":{"observed_at":"2026-08-06T17:08:10.625427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-08-15T17:23:48.660097Z","title":"reben: Refined bigearthnet dataset for remote sensing image analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13086","last_updated":"2025-08-18T16:59:43Z","snapshot_observed_at":"2026-08-18T22:59:26.696045Z","submitted_at":"2025-08-18T16:59:43Z","title":"Checkmate: interpretable and explainable RSVQA is the endgame","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T17:23:48.660097Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2508.13086"},"observation_digest":"sha256:412a4f9941cae3c0148c42091a5d7dff1a81f9c5caaf4398be5e8326c00b37d8","observation_id":"ae636096-3d1c-4447-9143-87616fc9e7d1","resolution":{"observed_at":"2026-08-15T17:23:48.660097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":"2407.03653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-07-02T21:17:25.038713Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","venue":null,"work_id":"3f2ba8eb-cba7-4a41-8596-198f16038cb8","year":2024},"citing_paper":{"arxiv_id":"2510.08269","last_updated":"2025-12-10T11:20:03Z","snapshot_observed_at":"2026-08-17T12:30:32.021602Z","submitted_at":"2025-10-09T14:26:09Z","title":"Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T08:54:28.438234Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2510.08269"},"observation_digest":"sha256:d4e67657f616f27b33dd2f11ea5ec6daf5c8a23f953b795932b324563f348a6f","observation_id":"2a1f13b3-a44a-4bac-8dff-39a21ff8228f","resolution":{"observed_at":"2026-05-18T08:56:08.664580Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":"2407.03653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-07-02T21:17:25.038713Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","venue":null,"work_id":"3f2ba8eb-cba7-4a41-8596-198f16038cb8","year":2024},"citing_paper":{"arxiv_id":"2604.18201","last_updated":"2026-04-20T12:50:26Z","snapshot_observed_at":"2026-08-14T07:50:41.393947Z","submitted_at":"2026-04-20T12:50:26Z","title":"DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-10T05:06:06.159341Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2604.18201"},"observation_digest":"sha256:32db0ae5af53bfb05296da856b97fc4149211ca3a6c12835bad79a5c3f504a86","observation_id":"feb83409-514b-4eee-9825-5d6e4947166b","resolution":{"observed_at":"2026-05-10T10:09:08.361638Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":"2407.03653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-07-02T21:17:25.038713Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","venue":null,"work_id":"3f2ba8eb-cba7-4a41-8596-198f16038cb8","year":2024},"citing_paper":{"arxiv_id":"2605.03189","last_updated":"2026-05-04T22:16:11Z","snapshot_observed_at":"2026-08-14T22:04:52.864222Z","submitted_at":"2026-05-04T22:16:11Z","title":"Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T18:17:35.846352Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2605.03189"},"observation_digest":"sha256:80f77e806e4d198c14277b309dfe96de4c487a42e2baa42ae1bdf5d5c6dc42bb","observation_id":"761761ba-1ace-4051-9198-8eeb878affdf","resolution":{"observed_at":"2026-05-12T10:46:31.929990Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":"2407.03653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-07-02T21:17:25.038713Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","venue":null,"work_id":"3f2ba8eb-cba7-4a41-8596-198f16038cb8","year":2024},"citing_paper":{"arxiv_id":"2605.29330","last_updated":"2026-05-28T04:06:30Z","snapshot_observed_at":"2026-08-20T22:20:53.445792Z","submitted_at":"2026-05-28T04:06:30Z","title":"EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T08:41:45.660534Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2605.29330"},"observation_digest":"sha256:70eb59271c115f139f19ca0cdd2447c9195846de317f18cf6dd89c2ab841609b","observation_id":"b5b92320-80c6-4ecc-b7fd-4ba845bde122","resolution":{"observed_at":"2026-06-29T08:43:14.871907Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":"2407.03653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-07-02T21:17:25.038713Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","venue":null,"work_id":"3f2ba8eb-cba7-4a41-8596-198f16038cb8","year":2024},"citing_paper":{"arxiv_id":"2606.00556","last_updated":"2026-05-30T06:13:42Z","snapshot_observed_at":"2026-08-09T19:38:06.840111Z","submitted_at":"2026-05-30T06:13:42Z","title":"Improving Visual Grounding in Remote Sensing via Cluster-Guided Refinement and Model Ensemble Voting","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-28T18:47:14.373790Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2606.00556"},"observation_digest":"sha256:63176a4013334e1ef36f1494fff75626a437fe2eef86bb31b00828316cd7a1d5","observation_id":"2db0458e-69f8-40fa-95ac-7719fc9c263f","resolution":{"observed_at":"2026-06-28T19:52:35.839850Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","version":5},"cited_work":{"arxiv_id":"2407.03653","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.03653","snapshot_observed_at":"2026-07-02T21:17:25.038713Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis","venue":null,"work_id":"3f2ba8eb-cba7-4a41-8596-198f16038cb8","year":2024},"citing_paper":{"arxiv_id":"2606.08046","last_updated":"2026-06-06T08:18:21Z","snapshot_observed_at":"2026-08-13T10:17:46.792553Z","submitted_at":"2026-06-06T08:18:21Z","title":"OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T19:49:08.352684Z"},"links":{"cited_paper":"/paper/2407.03653","citing_paper":"/paper/2606.08046"},"observation_digest":"sha256:23fa18f3cf4332e81af86f44ef2ca30cdff41c80140f13323212b9899d61728d","observation_id":"fa011728-9b7c-4b18-acbd-233721b12bcb","resolution":{"observed_at":"2026-07-02T21:17:25.040461Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.03653/citation-record","integrity":"/paper/2407.03653/integrity","json":"/paper/2407.03653/citation-record.json","paper":"/paper/2407.03653"},"outbound":[],"paper":{"arxiv_id":"2407.03653","last_updated":"2025-05-16T15:49:37Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T22:13:52.668312Z","submitted_at":"2024-07-04T05:48:28Z","title":"reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2407.03653."}