{"as_of":"2026-08-08T10:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:05645f5e4dbe72befd049d3dcb6a0d7f239b6d80437c1eb8f45392a1dac70862","coverage":[{"denominator":83,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":83,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:23:14.899932Z","state":"measured"},{"denominator":83,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":83,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2507.00356/citation-record","integrity":"/paper/2507.00356/integrity","json":"/paper/2507.00356/citation-record.json","paper":"/paper/2507.00356"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:23:14.492457Z","title":"Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.492457Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:2618ebcd77ea7b046a85250adb4399bb42fadb6e42bcb74fb4de8ecb287b0566","observation_id":"5005bd95-f054-48ef-a486-f4197488f644","resolution":{"observed_at":"2026-08-06T21:23:14.492457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:23:14.497666Z","title":"Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.497666Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:c739a3fe5e2f2b18b97940b334be638ea740a7f9e8dff74bc27dabd2d19dcd89","observation_id":"ed07dcd9-c92b-4bb5-bdf9-42a8bcb7595a","resolution":{"observed_at":"2026-08-06T21:23:14.497666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:23:14.503108Z","title":"Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.503108Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:862e2099370b27c3435eb925bbef25076a00decc281fc8a2dbb94ba9623cb436","observation_id":"948ea577-21f8-4854-86ff-8ebf001dc7ce","resolution":{"observed_at":"2026-08-06T21:23:14.503108Z","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":"2026-08-06T21:23:16.224787Z","title":"Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark,","venue":null,"work_id":"be1ffad4-aea2-4cb3-a0f5-7f7310c12b3c","year":null},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.508315Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:b53e6cd6232ab982c6549bd9b84f7018fb5f30470287548bd070f00c8bac5d9a","observation_id":"8613719e-9e5d-4600-84e5-c7996add677f","resolution":{"observed_at":"2026-08-06T21:23:16.230301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.208563Z","title":"Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image - Jerusalem as a case study,","venue":null,"work_id":"d90cb243-e254-48ee-a5dd-f914fd35f1b0","year":2020},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.513355Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:c72070b6bdbfef57ec5dae042327943cf3526a41ba9b36daa53c925f14cf84a6","observation_id":"8e23ea00-ff4a-45a0-b8b3-96eb5faa121a","resolution":{"observed_at":"2026-08-06T21:23:16.214055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.190331Z","title":"Regional rare-earth element supply and demand balanced with circular economy strategies,","venue":null,"work_id":"45983c40-7dc6-48a4-8f66-465ca4424e52","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.518029Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:89e15c13e218fef1df693cc97fe504f2f252dd0231cbb8a8741c1f3dd6951755","observation_id":"f7e16c18-f5a1-4bd7-b2f7-e4344f3d67e6","resolution":{"observed_at":"2026-08-06T21:23:16.195740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.175174Z","title":"AFWS: Angle-Free Weakly Supervised Rotating Object Detection for Remote Sensing Images,","venue":null,"work_id":"f8013d43-cda2-4932-951f-0ee559ad0d80","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.523412Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:6f012cb1579347a60bd93219ab406a72988b618332066c99d0808910a3f50340","observation_id":"0239ec12-414b-4aed-8aaf-d21c21fd642e","resolution":{"observed_at":"2026-08-06T21:23:16.180048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.158574Z","title":"Full Convolution Neural Network Combined with Contextual Feature Representation for Cropland Extraction from High-Resolution Remote Sensing Images,","venue":null,"work_id":"7fcbd44f-a094-45eb-9273-bd0609f712d9","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.528615Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:50c93927bcbdef8f9b2d19bf5abdea2e51223fac33b6891efc25703040594e1c","observation_id":"2aea1960-f04a-4546-a5f6-c1319d0ca000","resolution":{"observed_at":"2026-08-06T21:23:16.164789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.143402Z","title":"Deep Residual Learning for Image Recognition,","venue":null,"work_id":"5b159744-5059-4119-b18f-40e42304e3cf","year":2016},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.533248Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:b83f67f243886ae94357d71c34d7b049477ea65eba7ecfe90b73d241fbf5d170","observation_id":"6811846a-e676-4284-83ab-1ae89c8e1314","resolution":{"observed_at":"2026-08-06T21:23:16.148084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.128807Z","title":"Rethinking Atrous Convolution for Semantic Image Segmentation,","venue":null,"work_id":"9d63eee6-3601-4cdf-96f2-f9e20a98cf01","year":2017},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.539141Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:2c0b439ad78a96df9ce670441b91d1d22f47ecb083fb01d1451ddad609ad7149","observation_id":"a53c5e99-39ea-45f6-89a5-3a018763b55b","resolution":{"observed_at":"2026-08-06T21:23:16.133578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.113454Z","title":"High-Resolution Representations for Labeling Pixels and Regions,","venue":null,"work_id":"8b0749c4-319b-4ccf-89b2-1bd408158d24","year":2019},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.544639Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:a8c97db196e48e7f8216c4867d74f484ccd5328ae55380a4904fda647c4d5532","observation_id":"0d56c2bd-1ebb-406b-8327-1ff4825c5dda","resolution":{"observed_at":"2026-08-06T21:23:16.118423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.098814Z","title":"A ConvNet for the 2020s,","venue":null,"work_id":"b43b0cb5-1625-447d-83a4-67a2aba71f23","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.549772Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:06e32133dc51e956c6a32ecb58d396fcb0e36fff462c94d871ca182e906da6f8","observation_id":"18f5891f-aff9-4c3a-ad98-e88665780678","resolution":{"observed_at":"2026-08-06T21:23:16.103573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.083866Z","title":"CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery,","venue":null,"work_id":"59dddf51-2f2f-4ad3-b8fc-f5e3cb994941","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.554857Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:f62fa5a1f8af411389e8ee6f8c43ba1a70fe4fc89fa332c37105d7a217033f0b","observation_id":"72f78971-a082-4502-a8bf-21ccb25c7551","resolution":{"observed_at":"2026-08-06T21:23:16.088852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.068087Z","title":"SAMPolyBuild: Adapting the Segment Anything Model for polygonal building extraction,","venue":null,"work_id":"7e6b0d4b-3185-47d0-ad34-9f8e874ceaa3","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.560073Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:735a6c69c7c23d26057d32979624f93d069da06e32dcfdbb1c895090dfb94674","observation_id":"5dde1f21-b0f9-4125-9df8-04be01d9b5fe","resolution":{"observed_at":"2026-08-06T21:23:16.073696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.053358Z","title":"Remote Sensing Image Scene Classification Based on an Enhanced Attention Module,","venue":null,"work_id":"b92837a9-3a72-47ae-a22b-f0d3bbf2ffa0","year":1926},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.565494Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:297ca1e6e7764ef0b3eef670522f23a4fdfa632cf6a239b8a06d25086cfa29d9","observation_id":"73120433-0a13-4263-89b6-a61dbb7af257","resolution":{"observed_at":"2026-08-06T21:23:16.058206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.038093Z","title":"Remote Sensing Scene Classification via Multi-Branch Local Attention Network,","venue":null,"work_id":"a3ffb28a-e965-41a7-9afd-c945af3ba8c9","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.570500Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:237e1910240c99ecccd38e41fe88396ede52e854ed2b3b8937f1e28405bbfe12","observation_id":"d90552a3-865a-4e62-8467-6e03b02c7957","resolution":{"observed_at":"2026-08-06T21:23:16.043197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.022579Z","title":"SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images,","venue":null,"work_id":"a0cd43f1-5ffe-491d-816c-1a641f8a66a7","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.575771Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:688cc9d10bf076a2e4cf2af8b734d2658278f41760000e1e891b94c46b1d47ac","observation_id":"ee2674e9-d4a7-4335-b38f-5b3bf528190b","resolution":{"observed_at":"2026-08-06T21:23:16.027484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:16.008075Z","title":"Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model,","venue":null,"work_id":"22d7e1a6-fdaf-43e4-9028-d8c5f36b1b01","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.580495Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:bf65d8a61a229847390253c72c11ae841db9e12366174ab3eefe7282ff164b75","observation_id":"532dbf07-b3e8-423c-8501-047e0ffdeb65","resolution":{"observed_at":"2026-08-06T21:23:16.012978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.990700Z","title":"ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning,","venue":null,"work_id":"f59dd210-1b14-4caa-bdff-7d9c71bd7e5e","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.585556Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:b2b8ee2d9163caf47ce21dbb7a2d35f146c578aeaa7d53b835dfab5ca3cb23a2","observation_id":"42df0574-fa5c-466f-a54b-d3db1b3dc9e6","resolution":{"observed_at":"2026-08-06T21:23:15.997225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.975563Z","title":"An Empirical Study of Remote Sensing Pretraining,","venue":null,"work_id":"f19bc11e-ae54-4535-aa4e-4a2ce16afc41","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.591115Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:7f79574b9ecf5ef6036de6edff68ffdb4e5d522bbf1861a0f743b1453c9799c9","observation_id":"715cd574-ccf3-481b-a5a9-9880438b1ec8","resolution":{"observed_at":"2026-08-06T21:23:15.980497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.958750Z","title":"An Empirical Study of Training Self-Supervised Vision Transformers,","venue":null,"work_id":"6366446a-6adb-4c33-a1fa-5334cc248816","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.595645Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:d4a954f1cab31885dec94719e9169352b09c8beab61dd381a7e59bd1e8d5a5cf","observation_id":"75dc68b7-f070-44e7-ad5b-7ce377f76a39","resolution":{"observed_at":"2026-08-06T21:23:15.963818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.942793Z","title":"AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification,","venue":null,"work_id":"ff1da960-2017-4549-82db-ab020278d2eb","year":2017},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.600352Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:c2f607ea10c8f9f937708a6440b6e7a1a27e84d248eea782126a48c0ad9eb18d","observation_id":"950b055d-8a29-407a-abb9-7dcb925ca611","resolution":{"observed_at":"2026-08-06T21:23:15.947953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.927827Z","title":"OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation,","venue":null,"work_id":"792b2b02-63d0-4dd8-ab28-3404887eb307","year":2018},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.605529Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:0ac0588cecb2e5464cf3357ed8976f6e595c03672ca678123aa4a71275ed23db","observation_id":"d067b806-e5db-4da8-9a79-8b311ab65828","resolution":{"observed_at":"2026-08-06T21:23:15.932496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.912406Z","title":"SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets],","venue":null,"work_id":"fae5a515-04c6-472e-97c4-43035e5491be","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.610914Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:35ae06c54a871b61195b99cfe6443b0fc5c31a21a6c07fcb95000b0613d84195","observation_id":"91724639-08a3-410e-8706-8d1080d5e795","resolution":{"observed_at":"2026-08-06T21:23:15.917519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.897735Z","title":"Functional Map of the World,","venue":null,"work_id":"87d7a8a7-d4b3-4839-a1bc-6d7459f94495","year":2018},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.615433Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:e0bdd9486bcee46f2007f0186c18735f38cb848d9b847d1d1ce37230f92ac26b","observation_id":"e4ecb359-7eb5-469b-8ea3-d167d9a76912","resolution":{"observed_at":"2026-08-06T21:23:15.902324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.883270Z","title":"BIGEARTHNET: A LARGE-SCALE BENCHMARK ARCHIVE FOR REMOTE SENSING IMAGE UNDERSTANDING,","venue":null,"work_id":"8852e048-87ae-46b3-b08a-878b038f9409","year":2019},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.619913Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:c5d049a2f538d2f2df1dd1d7f8a5e402d90fc857e38c7363e66f98f645ee295b","observation_id":"29533872-afa8-4a63-ac52-69e04cff5a68","resolution":{"observed_at":"2026-08-06T21:23:15.887834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.866078Z","title":"BigEarthNet-MM A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval,","venue":null,"work_id":"36a8ddcc-5b19-43c2-b550-f4b2934741b2","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.624348Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:0ed67039b074f08fbdebb21a2a4a7c290f97fed9b51d29bc289eab2899538e51","observation_id":"ffe5bd5e-59e6-4400-b819-2546b646f405","resolution":{"observed_at":"2026-08-06T21:23:15.871824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.850717Z","title":"ImageNet: A Large-Scale Hierarchical Image Database,","venue":null,"work_id":"fd82f0b7-3fe9-470f-8703-14ece57ef358","year":2009},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.628980Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:26c5683ce5da4d1c43be1caac4515c4286522814d91683299b38968876a2355c","observation_id":"f9761970-9ed9-4988-ae12-8135fe226768","resolution":{"observed_at":"2026-08-06T21:23:15.855743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.835352Z","title":"A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery,","venue":null,"work_id":"021a7362-7676-4bf3-ad47-64bdb5b01d35","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.633995Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:8ef897e62ef300600e3bbaa72de3e44e55806791486f77e8f394e3ee0c218bb6","observation_id":"c184138e-fc17-49fb-b1ff-f26b8c3bae4b","resolution":{"observed_at":"2026-08-06T21:23:15.840301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.820276Z","title":"RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images,","venue":null,"work_id":"9ef0e177-00f6-4e14-9390-7aafbceaa7f9","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.639445Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:922811454c6518ddb29bd756cd657d89aa4d2cbef01fe17b5381466cd6ba1699","observation_id":"531147b4-281a-42b4-be5b-e7b3aeaefcd8","resolution":{"observed_at":"2026-08-06T21:23:15.825037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.804831Z","title":"SDCluster: A clustering based self-supervised pre-training method for semantic segmentation of remote sensing images,","venue":null,"work_id":"6f01f168-9344-4c02-9d22-f73fe2d92252","year":2025},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.643826Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:7880df1605a53867704a722ac2a73b894c1edd2389330bcf4ef24dc4fe122ba6","observation_id":"0188e9b2-ffff-4498-893b-b78f11c98132","resolution":{"observed_at":"2026-08-06T21:23:15.809937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.787851Z","title":"Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images,","venue":null,"work_id":"f6224a23-7958-41ae-8c06-52cbbf556df2","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.648410Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:1f97d89d2362161330ffc60fd4178032c457d4935ae0e792c008526dae29bfd0","observation_id":"ddd83aa6-a705-4d35-a289-b352e1da5102","resolution":{"observed_at":"2026-08-06T21:23:15.792752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.772646Z","title":"Towards Geospatial Foundation Models via Continual Pretraining,","venue":null,"work_id":"d0cb7de7-0a80-413a-8424-7f80f6be54fa","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.654356Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:178a803c54d355108aee5928563bfe001558f20824088b79634f1ec42e12df49","observation_id":"d926828e-5c4f-477e-ae30-87d1e2b5d143","resolution":{"observed_at":"2026-08-06T21:23:15.777314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.757251Z","title":"Self-supervised Learning in Remote Sensing: A Review,","venue":null,"work_id":"93e9efa5-76e9-4874-a6fb-d00f3c797b0d","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.658928Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:e368c27c569bd2d29d244dfbba5123abb33191584c03682a3e6aa040c12af1cb","observation_id":"886b939e-99fe-4f9d-bcbd-b20eeaa99a7f","resolution":{"observed_at":"2026-08-06T21:23:15.762255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.741998Z","title":"Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain,","venue":null,"work_id":"64361b72-7fc6-4b9c-a6bb-b3b74eace148","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.663720Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:5ccd77bc1baefdc5dbbbcf35c86e80427800577f2ff010d6533c50849b0b79bf","observation_id":"bcceb226-c239-4232-9f87-2f226c7d8cdf","resolution":{"observed_at":"2026-08-06T21:23:15.747037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.726990Z","title":"DINOv2: Learning Robust Visual Features without Supervision,","venue":null,"work_id":"84896d22-d3d2-444f-896a-db8c5d2fa7fb","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.668748Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:9107a7214262d05fb8c1a2490c8177b97db259cb8d5077068311605c86fc1635","observation_id":"45fc4194-a03a-4075-a7e1-d468f5bd541c","resolution":{"observed_at":"2026-08-06T21:23:15.731751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.711641Z","title":"Generative Pretraining from Pixels,","venue":null,"work_id":"aa286ce3-b71b-4f17-b0c3-236f243eafaa","year":2020},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.673941Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:f1ed00812a965c1090126cbaad6a0eacad0b1426729f1c72a2b0a28fdceaac10","observation_id":"23e29c58-59f7-4959-b9ef-fd394d1399c8","resolution":{"observed_at":"2026-08-06T21:23:15.716318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.695416Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning,","venue":null,"work_id":"31ab27fe-692c-44e1-849e-7f717457fcb1","year":2020},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.678923Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:8cbf54aad18cd6eef4f6c1f5f7f2124256eb629c00e1cae51d80ac609ebf579a","observation_id":"bb79a384-ca3f-4dc6-9c81-d3a038ee5a35","resolution":{"observed_at":"2026-08-06T21:23:15.700377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.679549Z","title":"iBOT: Image BERT Pre-Training with Online Tokenizer,","venue":null,"work_id":"b3bd0e43-14c1-40c3-b83e-cbf5ad31241d","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.683862Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:18c8c2370fbb2f9c7eb3c78f22c241d94d2d065dbb59ca079b7e15031ec9cbd4","observation_id":"1f79a4cc-30bb-4720-af03-6bb137025ff3","resolution":{"observed_at":"2026-08-06T21:23:15.685217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.663575Z","title":"OmniMAE: Single Model Masked Pretraining on Images and Videos,","venue":null,"work_id":"acec3481-9fd0-43a1-88c5-49ec1eb00cac","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.688644Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:22dbb372f534b0725ca75de7a3fc76dd9aab81538ef8f55f6ac327cce3623a01","observation_id":"a72f4996-7155-4c73-b00b-6a4318d11adf","resolution":{"observed_at":"2026-08-06T21:23:15.668304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.649182Z","title":"Masked Autoencoders Are Scalable Vision Learners,","venue":null,"work_id":"d7324cf8-55c0-4168-b7c0-759132c5f93c","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.693258Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:b3b962b735059b476b9b86bc728a88a6b8915ca811b3d28d617281c7832b3119","observation_id":"3b3575d7-654a-49a8-ba21-7e95a9fca830","resolution":{"observed_at":"2026-08-06T21:23:15.653764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.634725Z","title":"Masked Autoencoders that Listen,","venue":null,"work_id":"ade66b1a-d4c2-4a6a-85b7-846cfe7f95bb","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.698380Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:ab53fa2490acc73f1a310f4c57358915386ad8ebf456a21a82b3873d9bcf80f7","observation_id":"dbb1a4c2-c096-4775-a074-eb321a7b5051","resolution":{"observed_at":"2026-08-06T21:23:15.639478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.618025Z","title":"VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training,","venue":null,"work_id":"12e5348c-33e5-4d30-a54a-575d0cfcf546","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.703467Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:ea85d759ee445f7061f64af2e014bc0adb3b7fb5a41e23d5271729eebf924f14","observation_id":"f7d635f5-4b60-4de9-94d4-0a0752b838a3","resolution":{"observed_at":"2026-08-06T21:23:15.623321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.603091Z","title":"CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations,","venue":null,"work_id":"7a3a1801-5408-4056-97ef-870ea5c46038","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.708813Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:2bd1cc88a6b4bb881de41d21d1de523b9417fa7deebd6396a188214cf2af2a9e","observation_id":"655deaf6-f045-4bf4-b6f3-09c62a29c342","resolution":{"observed_at":"2026-08-06T21:23:15.608019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.587823Z","title":"GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization,","venue":null,"work_id":"35813e51-a6c4-473e-a18a-c6ff771f797f","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.713267Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:e48ec4a36cf3dbdeea1f48517ffaf89f940551c98b016a7fb65f430e3e6b31dc","observation_id":"a56fdf87-89ce-4907-8f21-adc9298942bf","resolution":{"observed_at":"2026-08-06T21:23:15.592728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.572648Z","title":"Geography-Aware Self-Supervised Learning,","venue":null,"work_id":"b5fe5791-a4b3-41e3-8676-630f44954979","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.717932Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:c73ac0ba3bf2c801d658941849e7092f64e378e611a9eaa24fbdbdca0229fb54","observation_id":"fc044341-cb66-41c1-807b-528f4f8d01c7","resolution":{"observed_at":"2026-08-06T21:23:15.577411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.557765Z","title":"Change-Aware Sampling and Contrastive Learning for Satellite Images,","venue":null,"work_id":"becc29d4-b5dc-4429-b0ac-ba73d59abd1f","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.723640Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:5fd06e7d2dc41063ad6ab86e8f70f3fd4ac5b7b444fc5ea102ff83e9e0900f6b","observation_id":"f55a0be5-29f9-472a-a3bb-777536dff8c0","resolution":{"observed_at":"2026-08-06T21:23:15.562555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.541180Z","title":"Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data,","venue":null,"work_id":"b0e059ee-d050-455b-af80-29f7379f1aad","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.728480Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:f521d530c60f941cbe22a15dad5de5d457c5cc4dbf190299373d339d85e1dd12","observation_id":"3dbc8d97-4ea7-40bb-a0fb-f4038e47a4dd","resolution":{"observed_at":"2026-08-06T21:23:15.547469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05215","last_updated":"2024-08-12T03:33:12Z","snapshot_observed_at":"2026-07-06T15:14:24.794122Z","submitted_at":"2023-04-11T13:33:45Z","title":"A Billion-scale Foundation Model for Remote Sensing Images","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.05215","snapshot_observed_at":"2026-08-06T21:23:14.733114Z","title":"A Billion-scale Foundation Model for Remote Sensing Images,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.733114Z"},"links":{"cited_paper":"/paper/2304.05215","citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:319849fdfab5fb29e9dc6da9ece0bb7f9d22533007b52d91daf30231250d4867","observation_id":"e0374c22-d858-40c9-90ab-8fbde5a0086e","resolution":{"observed_at":"2026-08-06T21:23:14.733114Z","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":"2026-08-06T21:23:15.523836Z","title":"RingMo: A Remote Sensing Foundation Model With Masked Image Modeling,","venue":null,"work_id":"8062980c-337a-49b2-b7f2-23c5d1bcc779","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.738258Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:fc3e761756daa7bbbf18d5ae1f9464e7bf68a0870423c058222e17b5bc7fbd47","observation_id":"0af5bb7c-c6ba-4aa8-bcb3-38cebaace746","resolution":{"observed_at":"2026-08-06T21:23:15.528988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.507186Z","title":"SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery,","venue":null,"work_id":"a26ee339-b2b7-4799-a5e0-3ba9fb24b7f1","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.742800Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:d2ff1584448b2f4aca0f38ff3dac5cdb63a29cc3c80e9d6852cdf9728a993ca5","observation_id":"b166e75d-3013-4c26-b9ab-0e43292604be","resolution":{"observed_at":"2026-08-06T21:23:15.511999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.491853Z","title":"Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning,","venue":null,"work_id":"d0d8d6c6-5dd8-4bf7-a058-d76ff1dd9cdd","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.747545Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:5abb69f73171a9c3fc7003cead2f234f592b93260edc882c0896ce85486b295e","observation_id":"b1dc3819-87bf-4cce-b2cf-3b11dcde0222","resolution":{"observed_at":"2026-08-06T21:23:15.497039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.477087Z","title":"SpectralGPT: Spectral Remote Sensing Foundation Model,","venue":null,"work_id":"ad0197f4-5813-46fc-bbe0-ef88801ee40b","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.752313Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:78b34238169be69feac874e0ba447598f1bfbd06ed1dc36b0e13037c915e091f","observation_id":"72177ac9-d33a-4883-8cf9-54cdbb4f881b","resolution":{"observed_at":"2026-08-06T21:23:15.481998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.460881Z","title":"CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding,","venue":null,"work_id":"8b8aaa12-f1c9-4b07-9918-f381fe0ce22c","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.757542Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:bd9b6bd266961b081d77dc0549abcf246ac7651de25e77b7fb4e7c13976014dc","observation_id":"c1c471ca-ccba-4771-8f01-d32be4d83e95","resolution":{"observed_at":"2026-08-06T21:23:15.466394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.443617Z","title":"Contrastive Masked Autoencoders are Stronger Vision Learners,","venue":null,"work_id":"29f0cd97-4547-4082-8ff7-31f7ae7e0468","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.761930Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:34898fdf9fe057fea09fcf159de9fe2e9c4ab7d8d3132c25ab58558865878d9b","observation_id":"0e06817e-b2a4-4537-80e7-cd9ae2bf94f7","resolution":{"observed_at":"2026-08-06T21:23:15.449359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.428637Z","title":"CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders,","venue":null,"work_id":"324daa00-5b89-4bf0-95f7-d55657cce521","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.767290Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:5c98272d53d65df790440fb46a1ad373b49114511fe109bfbc8e3e2b9de407d3","observation_id":"2f9c28cb-df21-4508-a3d3-fc5326024fa8","resolution":{"observed_at":"2026-08-06T21:23:15.433345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.413868Z","title":"SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery,","venue":null,"work_id":"4d17bf48-afc2-42f6-8846-a4f380f1c1f5","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.772508Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:d2ce0dd2b40c4f51915d2a8cd2d790aa35aec34a7c52c1bc9bc7583637593847","observation_id":"e7543ad7-e3fc-4643-82d0-75193e68d441","resolution":{"observed_at":"2026-08-06T21:23:15.418856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.398477Z","title":"Major TOM: Expandable Datasets for Earth Observation,","venue":null,"work_id":"3bd0c61a-0a8e-4009-977f-6869ab1ddc2b","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.776958Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:0ae76a38209a89ae69df42a532085963cde19d08b1ad52ac7bc0d89659311b36","observation_id":"82e045e7-cc4d-4c49-b6e9-2ca77932ea06","resolution":{"observed_at":"2026-08-06T21:23:15.403417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.383631Z","title":"On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID,","venue":null,"work_id":"4f46e1fc-1a77-4aff-9c82-18640959c415","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.781212Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:3b8032963d528268983ed17558141690ba0e0d87ad0b234909bbe020aea2c17c","observation_id":"990c27c6-7aa7-4860-b81c-48ec34d69c16","resolution":{"observed_at":"2026-08-06T21:23:15.388424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.368265Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,","venue":null,"work_id":"66bb1d6c-e049-4fe9-a2b3-dd6f913f3507","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.785935Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:56336837ec021a245aea5fca2e86c58edc0803f319c8081650a66ff1b2f5bb81","observation_id":"e9f6d745-1aa2-429f-aa71-cdea1561c0ce","resolution":{"observed_at":"2026-08-06T21:23:15.373327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.353210Z","title":"Bootstrap your own latent: A new approach to self-supervised Learning,","venue":null,"work_id":"7a7cedb2-1fa3-4079-beba-0ec7ea869bcb","year":2020},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.790408Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:c2f8c61f8733dcf0d388e9084f43ef64eb8fc6cd579440920b6c75efc250c12c","observation_id":"b5514616-11dc-48b3-80c8-ae633bb0804a","resolution":{"observed_at":"2026-08-06T21:23:15.358004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.337947Z","title":"FLASHATTENTION: Fast and Memory-Efficient Exact Attention with IO-Awareness,","venue":null,"work_id":"e747e630-d43a-4fbb-a60d-1d7befa60603","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.794896Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:ba52f78cfc3740b659c8ccdabf9bb573d04e45bd23d69b26e7b84effaa032c1e","observation_id":"3366dcb5-a194-473e-8986-6e5f4f83f283","resolution":{"observed_at":"2026-08-06T21:23:15.343000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.321689Z","title":"PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel,","venue":null,"work_id":"26fea31d-7179-4bb3-81f6-c6538a727afd","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.799481Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:cebd12c0932a5d418408ab987afb2e0b6685845ef73b2b2a057f38da536ddfe8","observation_id":"6eefb038-2255-4b0c-b6ae-f2bb2b403ccf","resolution":{"observed_at":"2026-08-06T21:23:15.326864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.304869Z","title":"Remote Sensing Image Scene Classification: Benchmark and State of the Art,","venue":null,"work_id":"24ad72af-3074-4ed1-85dd-d2138045d549","year":2017},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.804184Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:7870456600a6c8a6804d33a2c375a27a6af6e2a5422b0c84e4929ca55a45de55","observation_id":"115b3321-17a6-44b3-8970-e4203175c291","resolution":{"observed_at":"2026-08-06T21:23:15.310007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.285544Z","title":"SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding,","venue":null,"work_id":"53f218bb-1d0d-48d7-a11d-9febf947d775","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.808805Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:0edb2330f1c7cee1c2220faa0fcc8fc70cc34b88ce0cebc23395ab2741174804","observation_id":"95f4782e-1054-4c43-8c99-243f662dc4b9","resolution":{"observed_at":"2026-08-06T21:23:15.292688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.266069Z","title":"MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining,","venue":null,"work_id":"d83e1a04-aeca-4e43-92fa-f669f29f5b8c","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.813123Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:93ea914b6894f5849975759cbd944e52eb24d9f6071d6158ea9f6d14a5ddfb59","observation_id":"53212817-fa91-4ff5-9084-770979136a92","resolution":{"observed_at":"2026-08-06T21:23:15.272796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.248127Z","title":"Object detection in optical remote sensing images: A survey and a new benchmark,","venue":null,"work_id":"69060962-cba7-4bc5-abb9-262bcb38468b","year":2020},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.818136Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:7465b2044460e2c1c00fc8fd60789ea6f430819acc18174a384974de68b5e36f","observation_id":"9cdfcd6f-f015-4438-b09f-c948a551cf97","resolution":{"observed_at":"2026-08-06T21:23:15.254164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.231166Z","title":"Anchor-Free Oriented Proposal Generator for Object Detection,","venue":null,"work_id":"21b4fc3c-8ccd-4db1-9369-3ca5878645f8","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.823091Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:a78232c96a4afc7735319a3112dd1f7fe32cf41b30c0df7145dbbce350bb4cdf","observation_id":"da2f2c44-65ff-4b54-9571-4fa4e1bfe04f","resolution":{"observed_at":"2026-08-06T21:23:15.236880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.213917Z","title":"LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation,","venue":null,"work_id":"3640413c-a3dd-4500-9dc9-b68d7fe2c145","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.828044Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:60a22086fa81cc1a81ca1dbe2b1095411da28986973c4ba67f36dc89bec359e1","observation_id":"ea8948de-ee39-4592-8df0-2eee846df04d","resolution":{"observed_at":"2026-08-06T21:23:15.219583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.197292Z","title":"iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images,","venue":null,"work_id":"a98eb7a2-b89f-4dd7-af9d-4293f1c63ca0","year":2019},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.833792Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:60ef064600be589aea67344bd985eab158ae6f3c97533f06958fbf4113e3f12c","observation_id":"ba5ed2fc-2410-4632-b445-81ffd07f3ccb","resolution":{"observed_at":"2026-08-06T21:23:15.202452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.181249Z","title":"A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection,","venue":null,"work_id":"dea3b082-ade8-40db-a33d-687bf2885e9b","year":2020},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.838767Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:a3a6efa78da554d719fc6e4061c2bf02d1551b55efb70fe671c4c8e310470de7","observation_id":"d738c979-0570-4ebd-8f6f-3dd9c07e2130","resolution":{"observed_at":"2026-08-06T21:23:15.186322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.164110Z","title":"A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection,","venue":null,"work_id":"29c01d73-f872-433c-988e-dcf0c32c02ab","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.843534Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:b42adca84f8f9c4b78c81dcb28115bee81d77fe543f76f3df196b502b98e5836","observation_id":"ea48eeb5-c608-46f6-9320-6461307c369f","resolution":{"observed_at":"2026-08-06T21:23:15.169352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.146116Z","title":"Change Detection in Remote Sensing Images Using Conditional Adversarial Networks,","venue":null,"work_id":"087b812f-20af-4e31-96fb-f2c8480c291f","year":2018},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.848657Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:56e943466a2efac4971beac4c11785253b7756787f6b91305076bed9518356f1","observation_id":"5e791be0-f156-4807-b686-079e6ce3fce1","resolution":{"observed_at":"2026-08-06T21:23:15.152354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.126785Z","title":"A Transformer-Based Siamese Network for Change Detection,","venue":null,"work_id":"231c61e4-0736-4f86-9403-29371527bd88","year":null},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.853464Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:fc86f18ae8da3acf48ac8dd71459d0e8241aaac27b8b60468fb9c12cc3da24aa","observation_id":"3c5b562d-795d-48ad-b03e-0673cb9eb26b","resolution":{"observed_at":"2026-08-06T21:23:15.132950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.109576Z","title":"Remote Sensing Image Change Detection With Transformers,","venue":null,"work_id":"58ded617-2e9b-4e40-9a3b-62b5085b99f3","year":2022},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.858346Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:049ab2544058b264d35779778c61ffb30be9f8757e76047a95a27cbfa9bcb3f0","observation_id":"cec4c787-3c56-4e70-b00e-61ad4fc849f1","resolution":{"observed_at":"2026-08-06T21:23:15.114901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.092496Z","title":"HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images,","venue":null,"work_id":"5e395dda-b41f-492b-a1a7-bd978be3dd54","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.863209Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:2b8b2666ac78b91519ddd6f6c32ca5081e540d01ecf662f3661e7fec2dd718f3","observation_id":"1ae03148-5079-4184-8fe0-3db98517ab4f","resolution":{"observed_at":"2026-08-06T21:23:15.097990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.077098Z","title":"Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery,","venue":null,"work_id":"3ef7998d-6079-4a4f-a1c0-a716ae9b9d53","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.869449Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:556285620b434f574a6b74ce35e5ade1d911b632e41558646fc6db0a5a41c764","observation_id":"228000d3-8a96-4952-acc6-59700e47380b","resolution":{"observed_at":"2026-08-06T21:23:15.082222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.059933Z","title":"Exchanging Dual-Encoder-Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization,","venue":null,"work_id":"6d70e582-9978-4235-94eb-0edc63c77661","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.873976Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:6513f7fa572064000e3ee5281cd84f11d86295a67307d55c3926adb4202fa511","observation_id":"0e45ad1d-4860-469d-8392-30f5fd48c2ee","resolution":{"observed_at":"2026-08-06T21:23:15.066027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.041571Z","title":"C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images,","venue":null,"work_id":"11f3b1cc-8c74-4f98-9edc-48c28e02fba9","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.880117Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:92cc109dee637cdbf1b2128977d3a70c2ba35bffee9dc5fa0cde03c26893adeb","observation_id":"9927e0f5-33d8-435b-833a-0c94d4bb42cb","resolution":{"observed_at":"2026-08-06T21:23:15.047039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:15.019013Z","title":"MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection,","venue":null,"work_id":"e259555b-05a4-4cb9-9c9a-f98dbf6ca185","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.885091Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:2ef500431eff6fa34d93381423540d8ac700598f5a15f486422c4092fb77fb82","observation_id":"6628a37b-fa4f-4d5e-b636-c58867bebb99","resolution":{"observed_at":"2026-08-06T21:23:15.024809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:14.995999Z","title":"Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection,","venue":null,"work_id":"20f6419c-c088-4764-be62-c0785c0c94e9","year":2024},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.889941Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:b75a833a18c152e9c4b275e59f8f22bad3878bdf662a8af91d718a0dc1722be6","observation_id":"d56c6d81-7449-4ebd-98e4-ebf94d668937","resolution":{"observed_at":"2026-08-06T21:23:15.005177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:14.977984Z","title":"UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios,","venue":null,"work_id":"7b036d9a-667d-485e-8aef-a226a6b43c50","year":2023},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.894470Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:c69e5dc466792efede7716cf5d55afafd88390d85ffb9b7ea9f46cb78c945eee","observation_id":"6e4a1b63-3c79-4fa2-8833-d92b3a305fbe","resolution":{"observed_at":"2026-08-06T21:23:14.983630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T21:23:14.958704Z","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,","venue":null,"work_id":"9326c4be-32ab-4df5-bbea-f3e66da27790","year":2021},"citing_paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T21:23:14.899932Z"},"links":{"citing_paper":"/paper/2507.00356"},"observation_digest":"sha256:d151dbed5e26008b081efc5e685544644e03f2baaf450c4a651b10012bb11622","observation_id":"67a1ea55-e54f-4c00-9e96-2aa637ffb04d","resolution":{"observed_at":"2026-08-06T21:23:14.966186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00356","last_updated":"2025-07-01T01:05:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T21:15:48.980414Z","submitted_at":"2025-07-01T01:05:18Z","title":"CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation"},"reference_resolution":{"displayed":83,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":79},"total_outbound_references":83},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2507.00356."}