{"as_of":"2026-08-11T13:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8e4f419653cc3b5998fa417d97cd0f1677942fd6e46c0d3b5464e667e94710e","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:37:55.577314Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2412.17350/citation-record","integrity":"/paper/2412.17350/integrity","json":"/paper/2412.17350/citation-record.json","paper":"/paper/2412.17350"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:56.042437Z","title":"A review of unsupervised band selection techniques: Land cover classification for hyperspectral earth observation data,","venue":null,"work_id":"008e65c1-2b64-4ce3-acd3-5a758e147390","year":2021},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.447207Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:430f9c6e1a76e7e87d322892d353d15c2cdbeaaacd0de7b61a599f1f66404d16","observation_id":"37ab8e96-9802-4b25-86ad-34adec283589","resolution":{"observed_at":"2026-08-11T05:37:56.046818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:56.031384Z","title":"Hyperspectral image clustering: Current achievements and future lines,","venue":null,"work_id":"09cdafc3-34ef-4f96-af9f-0f3700119cbc","year":2021},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.451557Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:48cf36308a6ee077f53321f02e9b6cfa3dbf6c5d14a82a93ffb69d0b2fa592ef","observation_id":"32f458a9-a7de-4773-bc7b-adf9bba41303","resolution":{"observed_at":"2026-08-11T05:37:56.035995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:56.020326Z","title":"Hyperspectral imaging in environmental monitoring and analysis,","venue":null,"work_id":"2780584c-a897-4dd6-8d04-e9d44120bb1a","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.455092Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:583bd7260a47edc886b2be31e2d04953b992bc48f7f45bb1438f7f71983b4b23","observation_id":"5a3286e9-9f44-40f6-a708-15bc18d77142","resolution":{"observed_at":"2026-08-11T05:37:56.024776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:56.010089Z","title":"Modern trends in hyperspectral image analysis: A review,","venue":null,"work_id":"0c4a4c50-0b4a-47be-8bf0-ec2acf35be49","year":2018},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.458660Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:fdf4f0b28551705c728cfbbd7410713d4e6e61d943847a90c7c560909b4e56d1","observation_id":"6eb49f64-6da1-4610-b7da-e0941f5911d7","resolution":{"observed_at":"2026-08-11T05:37:56.014107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.999862Z","title":"Hyperspectral remote sensing in litho- logical mapping, mineral exploration, and environmental geology: an updated review,","venue":null,"work_id":"8aac7e64-3cde-4e3e-b871-96aad59eab5e","year":2021},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.462296Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:98cc9bae80b2d253f5d0eb9d3a737054451a86b70d702a975135d6e5062af4a2","observation_id":"44760f9b-c777-4b5c-a6d5-f8059e80f3dd","resolution":{"observed_at":"2026-08-11T05:37:56.003956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.989720Z","title":"An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges,","venue":null,"work_id":"88cc358c-e737-45db-bd99-21dfb7ae1650","year":2020},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.465666Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:352c57f9ce970fd18cfde3fe9178ea580a003471a49d8017e037c816716dda2e","observation_id":"dc6c9dc7-b86b-41c3-b006-9944e113a0cf","resolution":{"observed_at":"2026-08-11T05:37:55.993154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.979645Z","title":"Hyperspectral remote sensing data analysis and future challenges,","venue":null,"work_id":"7af56ad6-a17e-406d-ac8f-8563473fd20a","year":2013},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.469170Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:7f51146a1c573e905a42b1ee52845da3fed5d4f813fb5eb90a7a1279549a5df9","observation_id":"513f03a0-2836-4c4a-850b-a88e5166ff40","resolution":{"observed_at":"2026-08-11T05:37:55.983696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.970032Z","title":"Future perspectives and challenges in hyperspectral remote sensing,","venue":null,"work_id":"4ee2ece4-08e0-45fb-ad9a-23db53fdbb93","year":2020},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.472171Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:66859862e9a2e58cb525cb7b40055e74f5e25f2578f1b32b77e7cb2e3cf25652","observation_id":"07a75804-6faf-4159-aeba-6aa09ade8d21","resolution":{"observed_at":"2026-08-11T05:37:55.973473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.960244Z","title":"Multiple Sub-Pixel Target Detection for Hyperspectral Imaging Systems,","venue":null,"work_id":"3416fa51-b0db-4d8d-9f85-252f27cd5457","year":2023},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.475261Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:41bff02f5c57de50e541cba488de0e838d1cf8812dc5bc359ed7eefe83f54991","observation_id":"5da24bbd-5408-48f3-a819-4df308cd26c8","resolution":{"observed_at":"2026-08-11T05:37:55.963817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.948490Z","title":"Hyperspectral image clas- sification—Traditional to deep models: A survey for future prospects,","venue":null,"work_id":"f34bc995-ad89-45ae-9934-03a30a27a1e0","year":2021},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.478451Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:a5e7b423de5db642f61b702c570a30afa781aa93cdf69b91873d98081d9fc614","observation_id":"ece7b790-dc5c-4d80-9fff-4db4e7fbf547","resolution":{"observed_at":"2026-08-11T05:37:55.952830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.936713Z","title":"Hyperspectral Image Classification Using Groupwise Separable Convolutional Vision Transformer Net- work,","venue":null,"work_id":"9fec8e8f-1125-4542-a814-4ecbed30071c","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.481345Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:20598d2e73d9996a267e6d451b3a051f3de8c8f7b8e6a13a15726e4bf35519fc","observation_id":"b473cb3a-4e9b-48e7-bad3-32a6959dd30d","resolution":{"observed_at":"2026-08-11T05:37:55.941226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.925521Z","title":"MS2I2Former: Multiscale Spa- tial–Spectral Information Interactive Transformer for Hyperspectral Im- age Classification,","venue":null,"work_id":"161730f2-0518-408f-8dbb-b81f439548c8","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.484460Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:4c3b98a19d55f16b952ac746ecd478a941d4278cd456c138c30402df7d0be4da","observation_id":"09be6555-0fa5-413c-ba5b-819795a42407","resolution":{"observed_at":"2026-08-11T05:37:55.930078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.913776Z","title":"Bridging CNN and Transformer With Cross-Attention Fusion Network for Hyperspectral Image Classification,","venue":null,"work_id":"40822406-27b4-46bd-9aa6-0c56f839e9bd","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.487718Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:7d0ebbb5ef829f3809ff8c31019a64e1ec8cd06dfe5e85a4d1da919f436d3a48","observation_id":"4d9749c9-855e-4a59-8e73-47abf7d2537d","resolution":{"observed_at":"2026-08-11T05:37:55.918394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.901814Z","title":"A center-masked transformer for hyperspectral image classification,","venue":null,"work_id":"ebba18fe-8241-437f-a3ee-19b72fae7c7d","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.490808Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:3045dbaa00b5159ebced3570bc153d10c33d1b2c9afe150d75b62eae9a68e151","observation_id":"48beef98-c1e3-40e8-a480-6859eb0048de","resolution":{"observed_at":"2026-08-11T05:37:55.906108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.891302Z","title":"Hierarchical attention transformer for hyper- spectral image classification,","venue":null,"work_id":"61027cbe-bc7e-4e42-810e-0037f2043692","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.493928Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:065895c5b1c8ada5be4965736b135f13e1544521086c6743019532bdfb44a361","observation_id":"21ffe108-2817-40e9-ae89-5488ae5d8d42","resolution":{"observed_at":"2026-08-11T05:37:55.895473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.880633Z","title":"GraphGST: Graph Generative Structure-Aware Transformer for Hyper- spectral Image Classification,","venue":null,"work_id":"97e29107-6f83-467e-89da-3bf7d6c347b5","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.496994Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:8c6212bffa8158895e8e907a2c7d6927ecede9fcec0aa01e41db71603ee7335c","observation_id":"ea01b60d-39ad-49ce-9315-870d85d13a04","resolution":{"observed_at":"2026-08-11T05:37:55.884540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.870623Z","title":"Foundation Model-Based Spec- tral–Spatial Transformer for Hyperspectral Image Classification,","venue":null,"work_id":"c40719c1-4df4-4a91-b0bc-8c8d00505b84","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.499859Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:ffdf25caf8c7076c2cf85e1e6d6717eb30b543ffba62207b6bf3f4b0b6e9106f","observation_id":"e7cf10a8-65ed-4dc5-a6cd-cb4d747c4c85","resolution":{"observed_at":"2026-08-11T05:37:55.874367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.859913Z","title":"Dual attention transformer network for hyperspectral image classification,","venue":null,"work_id":"fe9433a1-6b4d-4f90-a4ea-a42e810dddd3","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.503032Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:7ed7c9a2a780362985e659e574c36b9ac2804d58b731218eb1d14f9dd2ed7ad6","observation_id":"22964a5b-b09c-42ed-b5d9-36cb67447ac7","resolution":{"observed_at":"2026-08-11T05:37:55.864409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.849329Z","title":"Spectral–Spatial Trans- former Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework,","venue":null,"work_id":"827f9994-e25a-44b6-9c8e-5d68cbc953a3","year":2022},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.506002Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:d7b64c5eaf830b3a3d1d88c45fd12376132447d6af6987eb20675f6d774ced69","observation_id":"8c1a7f6e-6cc4-4f5a-96de-d46ec37225e1","resolution":{"observed_at":"2026-08-11T05:37:55.853630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.838700Z","title":"QTN: Quaternion Transformer Network for Hyperspectral Image Classification,","venue":null,"work_id":"a3e79874-c49b-4f75-aee7-4ad456f1e0df","year":2023},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.509067Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:0c50472e67041690cc7534ad923ef21dbe881375e2935c5e7500ce71644a54b4","observation_id":"6958c06d-bf13-4530-b868-2a7b70187531","resolution":{"observed_at":"2026-08-11T05:37:55.842771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.827884Z","title":"A Lightweight Transformer Network for Hyperspectral Image Classifica- tion,","venue":null,"work_id":"dea4d892-8199-470f-855c-3df8ff150793","year":2023},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.512393Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:1d9aa1baf413475ac23d072fc6e3b8bd90b8f9c6e79f68852183c79f83f526c3","observation_id":"b6b5fbb7-e0c5-4264-9620-497a5b3dbd2d","resolution":{"observed_at":"2026-08-11T05:37:55.831950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.815133Z","title":"Hyperspectral Image Transformer Classification Networks,","venue":null,"work_id":"3e25475c-2016-498e-8478-666b3b80251a","year":2022},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.515492Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:0b5b54d7b906db0d6031fe0c8fb7319ff9a1241b899ff5c609e13a674f34f6a5","observation_id":"13106761-a366-41ca-86a4-32c789ac35b9","resolution":{"observed_at":"2026-08-11T05:37:55.820839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.804017Z","title":"MSTNet: A Multilevel Spectral–Spatial Transformer Network for Hyperspectral Image Classification,","venue":null,"work_id":"ccb3e5cb-a909-452a-8b7e-3e65bfdbcaff","year":2022},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.518499Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:620bb4b62f6848d35ebfc0f47636d047f73990a02db5aa6d26b3e394da381309","observation_id":"7fb6def0-cc73-48da-a484-c78f9c7c65be","resolution":{"observed_at":"2026-08-11T05:37:55.808269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.791648Z","title":"MATNet: A Combining Multi-Attention and Transformer Network for Hyperspectral Image Classification,","venue":null,"work_id":"bf12d184-354c-4942-9df3-04e2c95bf60d","year":2023},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.521509Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:253ef9747728ef7f75af53fa352cfe15eb3e81efadc75bb5fce6ea9a8a99d539","observation_id":"69ebe90b-d338-47c6-9f62-74ba703b858f","resolution":{"observed_at":"2026-08-11T05:37:55.796480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-03T16:01:59.392774Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-11T05:37:55.524333Z","title":"Differential Transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.524333Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:5543075fcee93f5f883e331c176a5df257328e3acd18ae07cdae999e6f1d81e0","observation_id":"0294be02-4415-4b66-8ec1-5881c86f886f","resolution":{"observed_at":"2026-08-11T05:37:55.524333Z","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":"2026-08-11T05:37:55.778169Z","title":"Adaptive Graph Modeling With Self-Training for Heterogeneous Cross-Scene Hyperspectral Image Classification,","venue":null,"work_id":"1120cd88-38aa-4f45-bf1a-f42394728ca3","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.527931Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:8ed454294d243c7af775a75f77681e0db40ce728929f598b36d30a7a8cf29970","observation_id":"d5405a38-f644-46c5-bf20-c27c12229e5c","resolution":{"observed_at":"2026-08-11T05:37:55.783015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.766176Z","title":"Fusing Transformers in a Tuning Fork Structure for Hyperspectral Image Classification Across Disjoint Samples,","venue":null,"work_id":"cd1b7863-7c42-499d-a6fc-1b52e8a1c60f","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.530932Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:85786ec29690fd14126b33ee161a2e7febf9ebb39df8fa7f5d6fb9a297a60beb","observation_id":"8369dd65-53b2-468b-bd7e-16fa807edd3c","resolution":{"observed_at":"2026-08-11T05:37:55.770673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.755779Z","title":"MIMO-SST: Multi-Input Multi-Output Spatial-Spectral Transformer for Hyperspectral and Multi- spectral Image Fusion,","venue":null,"work_id":"b675c5dd-23c0-4248-8696-4c2728802c04","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.533649Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:913664153a9fd77cf49232e4494161ca0398eda005100febbacf1e141e0838a9","observation_id":"caff3f0e-941d-41cd-b15c-a9fefb584838","resolution":{"observed_at":"2026-08-11T05:37:55.759848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.745778Z","title":"Sparse self- attention transformer for image inpainting,","venue":null,"work_id":"58840d2d-8f83-46ae-baf2-4876ddcfac23","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.537257Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:7f264fc76dd4f6e3d3d49a908ff6bcbcbb09bf087823044dc8fb88434a918cf8","observation_id":"74ae4d68-e504-425a-9c5b-56d403ea6b6d","resolution":{"observed_at":"2026-08-11T05:37:55.749419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.736245Z","title":"Spatial–Spectral Transformer With Conditional Position Encoding for Hyperspectral Image Classification,","venue":null,"work_id":"b5e7b83b-8c5e-4f38-a5f6-948d18080d03","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.540350Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:6b8fba9c2bc0d97c956696ef50fd3d8895f7639578227a4aeacacd1a030db2d1","observation_id":"2fb80af3-43d5-495e-872d-866d0d814c76","resolution":{"observed_at":"2026-08-11T05:37:55.739743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.543520Z","title":"Image fusion for the novelty rotating synthetic aperture system based on vision transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.543520Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:5b726c5e3696fa6f17d6c2d99d1fbdcd4375054b11f189f8c519cca101b685e1","observation_id":"e54767f0-c072-4bce-9e64-0ec30907ec8b","resolution":{"observed_at":"2026-08-11T05:37:55.543520Z","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":"2026-08-11T05:37:55.720910Z","title":"WaveFormer: Spectral–Spatial Wavelet Transformer for Hyperspectral Image Classifi- cation,","venue":null,"work_id":"3c6e4c42-fe1e-4221-b028-68cd8ed9e065","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.546713Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:6f037444447c9fd9f0a79778226968def4ffedc1086cf22655583227caf29ba0","observation_id":"0344433d-6f2e-490f-b7e0-fb7908661354","resolution":{"observed_at":"2026-08-11T05:37:55.724258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.711581Z","title":"Deep Transformer Based Video Inpainting Using Fast Fourier Tokenization,","venue":null,"work_id":"2d435be5-02ad-4540-8182-8ee1c2bab32f","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.549754Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:68284b07c66eb6841cd529d817fc35d4a8b6968b684c26717d38bc353ee23e56","observation_id":"2d2e9d78-8fa3-447b-a6bf-4cbae5fbc213","resolution":{"observed_at":"2026-08-11T05:37:55.715061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.701187Z","title":"A Dual-Feature-Based Adaptive Shared Transformer Network for Image Captioning,","venue":null,"work_id":"60e65f3f-5802-42e5-bc9c-6df3e4b1bd3a","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.552932Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:f778cb253b4591ff454f713d50fbb8922fea678575abdc7367859672c22167cc","observation_id":"c02b5918-337a-49be-9079-0ee3cfcf2b93","resolution":{"observed_at":"2026-08-11T05:37:55.705287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.689528Z","title":"WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classifica- tion,","venue":null,"work_id":"29b88406-429a-4915-b974-b6fec51e8193","year":2025},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.555945Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:1f9a3361352228ce9f9dfb27b56949756b60070dc77c35ff43cd2a47564046e4","observation_id":"658bf47d-1846-4d36-a5cb-3891e44da20f","resolution":{"observed_at":"2026-08-11T05:37:55.693044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.678484Z","title":"Swish: a self-gated activation function,","venue":null,"work_id":"bd5b60fa-306a-4675-9625-d9ba76552a60","year":2017},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.558954Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:a3d1c6e68e364b0c5513d6c69be16c6e18eedc9c7168d55adc23001c5709de9b","observation_id":"059d87a8-d544-4df0-9abf-3e1a90045348","resolution":{"observed_at":"2026-08-11T05:37:55.682790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.667126Z","title":"Mini-UA V-borne hyperspectral remote sensing: From observation and processing to applications,","venue":null,"work_id":"c1c43687-e9da-46ae-9e46-3d2934b3b202","year":2018},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.562241Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:b91f4f4aa68a93804185ef37a804a0dd3e107130daf3170b5b6b20d33c44cd10","observation_id":"f2f95877-6e12-4825-b17d-5444708ca00e","resolution":{"observed_at":"2026-08-11T05:37:55.670962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.655803Z","title":"Hyperspectral and lidar data fusion: Outcome of the 2013 grss data fusion contest,","venue":null,"work_id":"fc2bb89b-4ca0-412c-b0f7-a88cd79b2bbd","year":2013},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.565225Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:7c63ee199aff9812f99588fdc56bc370584cf870feff3313e74d3801cb341fda","observation_id":"250c558f-822d-4e47-941c-f7124f8a4dd6","resolution":{"observed_at":"2026-08-11T05:37:55.659973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.645077Z","title":"Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification,","venue":null,"work_id":"d4dd566f-9ec4-4cc2-912e-d9f4a8fbd1d3","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.568273Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:d888109f1247a84570372c00648443dc7d84693ad1e572055ea498c04220ad9a","observation_id":"14a52bad-6dc2-4cc3-9caf-ef9c28832cfc","resolution":{"observed_at":"2026-08-11T05:37:55.648702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.634932Z","title":"Pyramid Hierarchical Spatial-Spectral Transformer for Hyperspectral Image Classification,","venue":null,"work_id":"1514ad5c-aab2-40ef-a82e-da4aa441933d","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.571375Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:60e309b463147122e9e9acc45442c62823dcd71e47e131b91c438bf353553b1e","observation_id":"0d52938c-9ba3-4ff5-8b12-ab32197c2721","resolution":{"observed_at":"2026-08-11T05:37:55.638544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:37:55.622114Z","title":"A hybrid convolution transformer for hyperspectral image classification,","venue":null,"work_id":"14f0c414-ccdf-4e02-a0c8-53953bf61819","year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.574342Z"},"links":{"citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:49b5a26454510759c1a058d4dcb78324172ef44edba69ef7d24edaa390f6a8f0","observation_id":"3ce2d9ca-ebdc-4ba7-b1ea-069f4552aeb7","resolution":{"observed_at":"2026-08-11T05:37:55.627970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01224","last_updated":"2024-08-26T09:59:55Z","snapshot_observed_at":"2026-07-06T18:56:01.527658Z","submitted_at":"2024-08-02T12:27:15Z","title":"Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.01224","snapshot_observed_at":"2026-08-11T05:37:55.577314Z","title":"Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.577314Z"},"links":{"cited_paper":"/paper/2408.01224","citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:4ba1dac752a7824452b88eb0def2162a1f030f332bea73814fbf646786a975e9","observation_id":"cc716828-1ef1-44f5-ae4b-34447b42e7cc","resolution":{"observed_at":"2026-08-11T05:37:55.577314Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T05:31:32.664658Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":39},"total_outbound_references":42},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.17350."}