{"as_of":"2026-08-07T12:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0434d6edc53b7b3facfe582f75d3d1da02f7e5e6e89be67531e5abc147003e38","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:11:45.553123Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.19561/citation-record","integrity":"/paper/2506.19561/integrity","json":"/paper/2506.19561/citation-record.json","paper":"/paper/2506.19561"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:11:47.245667Z","title":"Machine learning in modelling land-use and land cover-change (lulcc): Current status, challenges and prospects","venue":null,"work_id":"d78a7792-126c-41e4-afc3-ab58aaf5baed","year":2022},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:43.993288Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:5dfbd135e366c550ccc9056d3c6f6bba6366a04f062b32a3c6e5372426d04262","observation_id":"d4e9be47-22da-4a67-a50f-fc8443c01721","resolution":{"observed_at":"2026-08-06T23:11:47.337235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:47.073673Z","title":"Pure data correction enhancing remote sensing image classification with a lightweight ensemble model","venue":null,"work_id":"9042c216-5f78-4ff1-9283-44e20a31fb10","year":2025},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.108436Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:408dd39d8ef3da1e7ad71836824d30cd01d0c5ccd55b6119f86452929472814d","observation_id":"1e115694-0346-4482-a07e-b664e3d8d0df","resolution":{"observed_at":"2026-08-06T23:11:47.166699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:46.946492Z","title":"Combining kan with cnn: Konvnext’s performance in remote sensing and patent insights","venue":null,"work_id":"8bbc3928-b8d5-4ac4-addc-29dcd87f1c31","year":2024},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.231581Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:825c28eebebabae379385135457dc1a4af1ac6bf2f566ac9bc6e1a6d6de93247","observation_id":"32e6d1e2-df92-4182-953f-74f63051757b","resolution":{"observed_at":"2026-08-06T23:11:47.005684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:46.822313Z","title":"Rsmamba: Remote sensing image classification with state space model","venue":null,"work_id":"5e5629bf-eeef-46c4-bc8d-d42526273f99","year":2024},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.322321Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:835fcdc4e72db21eb1366d850a5c4e7ac860fbbac716b7694abf2fa1696bfaff","observation_id":"5e4b8f42-d9a3-4c71-8658-08c7d65a2d3a","resolution":{"observed_at":"2026-08-06T23:11:46.861745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:46.678502Z","title":"Remote sensing image classification using deep learning","venue":null,"work_id":"bbfdad7e-ef65-4a2a-a9cb-54928be1f3b4","year":2021},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.442846Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:cd1fc4fd8e2899cc958429152fea2a6c9328a26d0cd83e98ea39b84d7ebc1ab4","observation_id":"61cfdd02-5c49-443a-83fb-5995d7cee5ca","resolution":{"observed_at":"2026-08-06T23:11:46.730589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:46.530863Z","title":"Review of vision transformer models for remote sensing image scene classification","venue":null,"work_id":"a35b4e68-7943-41f9-94a7-8395cf519a8e","year":2022},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.524456Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:822b3540eb47ec72ca76e90f5af4347d4ae1b52faae1560fd68cacedef8fae90","observation_id":"e44b3770-db65-4094-9b4a-c9362a3a536f","resolution":{"observed_at":"2026-08-06T23:11:46.610057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00600","last_updated":"2024-06-02T03:11:37Z","snapshot_observed_at":"2026-07-06T18:23:52.659446Z","submitted_at":"2024-06-02T03:11:37Z","title":"Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00600","snapshot_observed_at":"2026-08-06T23:11:44.633339Z","title":"Kolmogorov-arnold network for satellite image classification in remote sensing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.633339Z"},"links":{"cited_paper":"/paper/2406.00600","citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:a18d5e636c90cd28ba692423ee14d9f8fbbe082319627cb9f68a1d12992341b6","observation_id":"c0375b5a-1f71-4d32-963b-47ca3cc48314","resolution":{"observed_at":"2026-08-06T23:11:44.633339Z","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":"2026-08-06T23:11:46.406991Z","title":"Vivit-prob: A radar echo extrapolation model based on video vision transformer and spatiotemporal sparse attention","venue":null,"work_id":"eec85a53-a7cd-47ee-b956-b404ba3af78a","year":1966},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.749656Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:61b53ae103e5eb926533d3720924c260fac9a3792541270845faab1257609356","observation_id":"3d0208ae-d728-45f3-89a8-ade8dda22a21","resolution":{"observed_at":"2026-08-06T23:11:46.468317Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-06T23:11:44.868546Z","title":"Mamba: Linear-time sequence modeling with selective state spaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:44.868546Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:d88d0c810ca62f10ccf5575f87750c93e0110dbb5522ee38ac8507483888418a","observation_id":"db30c953-3490-408e-9f6e-42856db1ec76","resolution":{"observed_at":"2026-08-06T23:11:44.868546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04404","last_updated":"2024-05-07T15:30:14Z","snapshot_observed_at":"2026-08-07T03:58:18.630260Z","submitted_at":"2024-05-07T15:30:14Z","title":"Vision Mamba: A Comprehensive Survey and Taxonomy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04404","snapshot_observed_at":"2026-08-06T23:11:45.025725Z","title":"Vision mamba: A comprehensive survey and taxonomy","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:45.025725Z"},"links":{"cited_paper":"/paper/2405.04404","citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:f6d3224dcfcecfb45a63c5f3792577f3819321e7db909cb7bfd0330406cb1a85","observation_id":"cb973502-4494-47ef-b70a-27c6de870c28","resolution":{"observed_at":"2026-08-06T23:11:45.025725Z","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":"2026-08-06T23:11:46.252512Z","title":"Mambavision: A hybrid mamba-transformer vision backbone","venue":null,"work_id":"7791d295-1605-4ae2-9d76-b618a2065439","year":2025},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:45.148407Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:0a9cb3efd4fe37d52ee72fb8401e7629d8806d494a99937dab89f80ad479a862","observation_id":"b8505967-42ad-4a2b-b49f-69bb56885feb","resolution":{"observed_at":"2026-08-06T23:11:46.315230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:46.099260Z","title":"Mambaout: Do we really need mamba for vision? In Proceedings of the Computer Vision and Pattern Recognition Conference, pages 4484--4496, 2025","venue":null,"work_id":"5bd42c68-5f14-4164-9c27-656ecbf9fe60","year":2025},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:45.248768Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:920a725c58eca4aedffbf4b4de39e84bb3aa93e3b132a305d50e375e7e5daaf9","observation_id":"7c68e015-0a02-45c5-b168-c3d2ff3094ed","resolution":{"observed_at":"2026-08-06T23:11:46.184598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:45.946571Z","title":"Aid: A benchmark data set for performance evaluation of aerial scene classification","venue":null,"work_id":"38139e8c-bf04-45ca-aba5-fc355ea574b2","year":2017},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:45.329253Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:3f33b545f48678d9db07066580d35c49d986e22e7934563ff3ece174dc37e879","observation_id":"cf11985b-8b6c-4ae0-84c6-f5fb47d86dee","resolution":{"observed_at":"2026-08-06T23:11:46.011420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:11:45.441646Z","title":"Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:45.441646Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:42ad37603da36ab97899e65ebd877740ee31d84871229c705530abb3905fc9b1","observation_id":"1da43456-3714-4ebd-9728-9203fdb95a8e","resolution":{"observed_at":"2026-08-06T23:11:45.441646Z","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":"2026-08-06T23:11:45.812740Z","title":"Remote sensing image scene classification: Benchmark and state of the art","venue":null,"work_id":"37650a82-568a-46fb-a538-1341d0fe4fb8","year":2017},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:45.507357Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:64069dda7354e92c47a945b1366cd4bf55976620d737d5bb408809ed9d40b667","observation_id":"e55cc239-fe55-49f4-8176-c54d1fbddc2e","resolution":{"observed_at":"2026-08-06T23:11:45.881634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T23:11:45.666526Z","title":"Bag-of-visual-words and spatial extensions for land-use classification","venue":null,"work_id":"42dbbeed-3370-456b-8c09-da64e0690dd4","year":2010},"citing_paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T23:11:45.553123Z"},"links":{"citing_paper":"/paper/2506.19561"},"observation_digest":"sha256:da14b1c25b1b67f0140f43cca431a234ec67fb49374018d8348f413bf59a8a13","observation_id":"92cfd410-de22-43aa-b927-4c89015c0d53","resolution":{"observed_at":"2026-08-06T23:11:45.713787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.19561","last_updated":"2025-06-24T12:20:11Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T23:04:23.226268Z","submitted_at":"2025-06-24T12:20:11Z","title":"MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":16},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.19561."}