{"as_of":"2026-08-11T19:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8487c8b082be33cc28c2fb7b681d6a9a555a94115f7843e27b22bc9d760e819b","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:25:58.806755Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"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/2501.04944/citation-record","integrity":"/paper/2501.04944/integrity","json":"/paper/2501.04944/citation-record.json","paper":"/paper/2501.04944"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:25:59.475700Z","title":"A spectral-spatial-dependent global learning framework for insufficient and imbalanced hyperspectral image classification,","venue":null,"work_id":"e1fef59e-90da-4b34-832b-58ddc0395f17","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.600631Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:7c8b3aa3cd2561c21e422023c9d76f523cf4b2322d627670d4608e1089784c8e","observation_id":"7565e213-b5b9-4012-8a09-b2754c985605","resolution":{"observed_at":"2026-08-10T21:25:59.479650Z","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":"2026-08-10T21:25:59.465832Z","title":"Hyperspectral remote sensing data analysis and future challenges,","venue":null,"work_id":"18515767-726f-460a-9b9a-cb629dcce543","year":2013},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.604315Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:f75197c4999b9b517fa71cfdbbea822b16c8e375506bbff65427eab12371acf9","observation_id":"455f1c35-e126-473d-aa25-b7189beba855","resolution":{"observed_at":"2026-08-10T21:25:59.468771Z","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":"2026-08-10T21:25:59.455510Z","title":"Beyond the patchwise classification: Spectral-spatial fully convolutional networks for hyperspectral image classification,","venue":null,"work_id":"0d37e3ef-d9cc-4df9-82a6-caee762f86c6","year":2020},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.607415Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:b93fc47ea30c217839aa1cb5f1ab137b83bdec0adff3eded2995e423d4afa1d8","observation_id":"db5e88f4-b470-43fb-82d8-ac390e0914da","resolution":{"observed_at":"2026-08-10T21:25:59.459772Z","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":"2026-08-10T21:25:59.444713Z","title":"Beyond the sparsity-based target detector: A hybrid sparsity and statistics-based detector for hyperspectral images,","venue":null,"work_id":"3abe2ac5-ba40-4c30-8546-001f19d958dd","year":2016},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.610942Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:0b9b23e3817e53080a0c5c83101eefd07cc130108211fb787af0da5c3d862c05","observation_id":"6bdb6c1b-77ae-4bac-aff5-aaaeddf26e29","resolution":{"observed_at":"2026-08-10T21:25:59.448707Z","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":"2026-08-10T21:25:59.434673Z","title":"Hyperloopnet: Hyperspectral image clas- sification using multiscale self-looping convolutional networks,","venue":null,"work_id":"ead67618-cb79-4f9e-bd03-9e68013ebb61","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.613933Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:0b4b68defb8f27babadd2535b4788b3fe4bffbef0009916360ea3dadf18a14a1","observation_id":"1b2815c4-7902-44b5-baeb-f418752f2c2f","resolution":{"observed_at":"2026-08-10T21:25:59.438230Z","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":"2026-08-10T21:25:59.423697Z","title":"Deep learning classifiers for hyperspectral imaging: A review,","venue":null,"work_id":"9ed30fb8-7014-4e9c-abaf-b1e16c4bca22","year":2019},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.616949Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:455c408e6d38f140bbc0447521c83f01b02c35a19e8b46304c7fffb6f1ffa9bc","observation_id":"0800ca94-6165-4853-9d80-bf291ae173e1","resolution":{"observed_at":"2026-08-10T21:25:59.427569Z","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":"2026-08-10T21:25:59.411772Z","title":"A novel semisuper- vised active-learning algorithm for hyperspectral image classification,","venue":null,"work_id":"63fd0066-f8e6-4604-b709-c119554ef488","year":2017},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.620080Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:319984fdbfa2c6a56bfc027f497bc3b199f8e92e897a4303b108d2564c503c1b","observation_id":"2ac0284b-e1fc-44e4-9c2c-233e7a7dd773","resolution":{"observed_at":"2026-08-10T21:25:59.416158Z","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":"2026-08-10T21:25:59.398326Z","title":"Do we need learnable classifiers? a hyperspectral image classification algorithm based on attention-enhanced resblock-in-resblock and etf classifier,","venue":null,"work_id":"9cf76be0-9300-4c97-a4e3-4e80d28ce706","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.623401Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:ff0f07f031ef2bc2e265e7a4b628dcb415b2381507abd2ea22a4edd0adce4f99","observation_id":"9c525815-00ff-4d0c-bb9c-777dd41bf12e","resolution":{"observed_at":"2026-08-10T21:25:59.402014Z","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":"2026-08-10T21:25:58.627767Z","title":"Classification of hyperspectral remote sensing images with support vector machines,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.627767Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:ac9ba9d448d1987c2a8fb754edaeb78b8bc3d311f34bbf1f982e88f65c58d4f9","observation_id":"634d4f20-9c4c-4131-9327-bc011b461972","resolution":{"observed_at":"2026-08-10T21:25:58.627767Z","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":"2026-08-10T21:25:59.376410Z","title":"Investigation of the random forest framework for classification of hyperspectral data,","venue":null,"work_id":"961498a9-5702-4822-b8df-1d3f656c03ef","year":2005},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.631154Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:82ac1cbe73e0ac847e8f9b70f1f4efa0170bdd4a025bd8dead2794c76c588a83","observation_id":"edf5a8a6-8874-4f05-8885-e948c5e2c8ac","resolution":{"observed_at":"2026-08-10T21:25:59.381111Z","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":"2026-08-10T21:25:59.362662Z","title":"Graph convolutional networks for hyperspectral image classification,","venue":null,"work_id":"2cccf72f-8a82-4102-b4fb-d9c72ee024e1","year":2020},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.634526Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:4aa8fad28d2a823663140fa698f9583689b90398af0099a8a56e4bd0cacb1eef","observation_id":"047defc5-12e1-40b8-bf75-c9a999fc513f","resolution":{"observed_at":"2026-08-10T21:25:59.367349Z","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":"2026-08-10T21:25:59.350507Z","title":"Hyperspectral image classification using groupwise separable convolutional vision transformer network,","venue":null,"work_id":"0a8c3ecf-74b7-4882-974c-6c910473951c","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.638253Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:5470d89bb398b4194a14947c83ef3d4a43b36a55ad4a95c04c2706f7b51e4615","observation_id":"19df4b31-14ed-4f63-8d30-f1392b47587f","resolution":{"observed_at":"2026-08-10T21:25:59.354813Z","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":"2026-08-10T21:25:59.338137Z","title":"Semi- supervised multiscale dynamic graph convolution network for hyper- spectral image classification,","venue":null,"work_id":"f0e24bbf-3215-4035-bd21-74478b72db8c","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.641597Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:d655529e084e154aebe8646edb6b362c9ede10963461de5ec965208343f6b40d","observation_id":"24d2cf60-0c3f-4f92-93df-97e69cd59201","resolution":{"observed_at":"2026-08-10T21:25:59.342272Z","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":"2026-08-10T21:25:59.325625Z","title":"Resc-net: Hyperspectral image classifi- cation based on attention-enhanced residual module and spatial-channel attention,","venue":null,"work_id":"0b13dbff-55b0-4754-89f8-d8e99c3cd3ab","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.644725Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:55f369bf9cfb1f0a177270ac17b36001e184e94c0f4b6ba7ebccd6590d5ad338","observation_id":"5bccef18-8839-421d-bc7c-0f80a649aebe","resolution":{"observed_at":"2026-08-10T21:25:59.329978Z","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":"2026-08-10T21:25:59.312833Z","title":"Channel-layer- oriented lightweight spectral-spatial network for hyperspectral image classification,","venue":null,"work_id":"0929e089-1a30-4521-af15-3bc31f0be0e2","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.648127Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:e407e526e56be0193e27d0fe0338faf5c6c85a9008d7dd7e2e9a06327ed8ecae","observation_id":"6c8a1502-b0b2-46e3-8dae-94071a47074f","resolution":{"observed_at":"2026-08-10T21:25:59.317326Z","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":"2026-08-10T21:25:59.298914Z","title":"Spectralformer: Rethinking hyperspectral image classification with transformers,","venue":null,"work_id":"e870b6b7-f209-48d7-a91a-b3918c5b10aa","year":2021},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.651656Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:2637abdc681145d06424d7889e9b78e04b8929f064f884336d130baa4955d85f","observation_id":"7c24d2af-e655-40f4-8751-4b8df8f96b88","resolution":{"observed_at":"2026-08-10T21:25:59.304632Z","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":"2402.02491","last_updated":"2024-11-08T11:56:04Z","snapshot_observed_at":"2026-08-08T14:24:36.827111Z","submitted_at":"2024-02-04T13:37:21Z","title":"VM-UNet: Vision Mamba UNet for Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02491","snapshot_observed_at":"2026-08-10T21:25:58.654741Z","title":"Vm-unet: Vision mamba unet for medical image segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.654741Z"},"links":{"cited_paper":"/paper/2402.02491","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:9f6f9e66eb7d984c37302894c7fdb1a8f392dac09473fcae33e81a1f07829162","observation_id":"260c76e3-d4a7-4f67-b6ee-5382f37c1607","resolution":{"observed_at":"2026-08-10T21:25:58.654741Z","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":"2026-08-10T21:25:58.658379Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.658379Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:8954e2bd5e5ea7fb4680ac60959213a816e66469dbdb5917c0b3d60cc4241d25","observation_id":"36128cef-653b-4578-86d2-1a893cc10ea2","resolution":{"observed_at":"2026-08-10T21:25:58.658379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09417","last_updated":"2024-11-14T02:00:33Z","snapshot_observed_at":"2026-07-06T17:16:59.193820Z","submitted_at":"2024-01-17T18:56:18Z","title":"Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09417","snapshot_observed_at":"2026-08-10T21:25:58.661506Z","title":"Vision mamba: Efficient visual representation learning with bidirectional state space model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.661506Z"},"links":{"cited_paper":"/paper/2401.09417","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:d8c1c0575b3009f1326622363325b28eef0afbd03831510569f7dbf05b70d43a","observation_id":"6f5a91de-a952-4632-9edc-b1cbfe4b17fd","resolution":{"observed_at":"2026-08-10T21:25:58.661506Z","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":"2026-08-10T21:25:59.280783Z","title":"Gu, Modeling Sequences with Structured State Spaces","venue":null,"work_id":"a6cb30b6-09ba-44fe-9fc0-3e475e0efb09","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.665245Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:c51a3679db1ac8dc0d5b2a622015dde528cfca1ce6be9b12f2ed162eea300315","observation_id":"3af45188-7740-40d5-939e-237b387c156d","resolution":{"observed_at":"2026-08-10T21:25:59.284303Z","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":"2026-08-10T21:25:58.668438Z","title":"Combining recurrent, convolutional, and continuous-time models with linear state space layers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.668438Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:ee3948c5cdcaeffe6873ce7fc9a75eefbbaea1bcb0faad883161de62f1b29afc","observation_id":"bc0cabe0-70a0-4e59-afb8-d0714621c38f","resolution":{"observed_at":"2026-08-10T21:25:58.668438Z","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":"2026-08-10T21:25:58.671621Z","title":"Efficiently modeling long sequences with structured state spaces,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.671621Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:60a30e8d163ac4fb9926055457ac554a2feb4ddadce9076e5826aed7ddd1956d","observation_id":"64219da9-2271-4a4f-836e-65ea3070fa10","resolution":{"observed_at":"2026-08-10T21:25:58.671621Z","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":"2026-08-10T21:25:59.252310Z","title":"It’s raw! audio generation with state-space models,","venue":null,"work_id":"82e4a65d-8fe9-40ba-8a99-cd4ed5c23317","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.674889Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:dc5762feeb43ac9c025d464c3a1ed3ac7434c9ccefc62c2090d9d91d6e3c8a7e","observation_id":"5be66405-7080-4e81-b037-8fb968feb210","resolution":{"observed_at":"2026-08-10T21:25:59.256570Z","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":"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":"2026-08-10T21:25:58.678035Z","title":"Mamba: Linear-time sequence modeling with selective state spaces,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.678035Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:89c29b1de3f647e5ac7b8bdbe7c5753f02cd88ae9ae671268d53a6602250f4d0","observation_id":"13f08cb0-7975-400a-bcb6-8501e78ca42b","resolution":{"observed_at":"2026-08-10T21:25:58.678035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04722","last_updated":"2024-01-09T18:53:20Z","snapshot_observed_at":"2026-07-06T17:13:25.341853Z","submitted_at":"2024-01-09T18:53:20Z","title":"U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04722","snapshot_observed_at":"2026-08-10T21:25:58.681104Z","title":"U-mamba: Enhancing long-range dependency for biomedical image segmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.681104Z"},"links":{"cited_paper":"/paper/2401.04722","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:d24cc26c13b434d469adb4e30f91c9de56b3a04bc15a0a87f906059a1c0eac3a","observation_id":"0499f34e-5c55-4f62-9c13-8ccf81947e97","resolution":{"observed_at":"2026-08-10T21:25:58.681104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18861","last_updated":"2024-11-10T15:06:53Z","snapshot_observed_at":"2026-08-10T03:41:47.824602Z","submitted_at":"2024-04-29T16:51:30Z","title":"Visual Mamba: A Survey and New Outlooks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18861","snapshot_observed_at":"2026-08-10T21:25:58.684520Z","title":"A survey on vision mamba: Models, applications and challenges,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.684520Z"},"links":{"cited_paper":"/paper/2404.18861","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:2f36d23ad208fbabb3ffe5ac1cebcffbe782c064945b92f6458e08229ce98bc2","observation_id":"b2ea5abe-53c9-48d1-a198-a244595b6ab1","resolution":{"observed_at":"2026-08-10T21:25:58.684520Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07711","last_updated":"2026-06-27T16:03:47Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T14:53:56Z","title":"SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07711","snapshot_observed_at":"2026-08-10T21:25:58.687972Z","title":"Ssm meets video diffusion models: Efficient video generation with structured state spaces,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.687972Z"},"links":{"cited_paper":"/paper/2403.07711","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:4d0fbdaa63304b7172c41d1acb8e653186faf405fe91a6bb227c78102b64ebc6","observation_id":"7ca23fb7-887a-426b-b147-2aa982297106","resolution":{"observed_at":"2026-08-10T21:25:58.687972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19654","last_updated":"2024-03-28T17:59:49Z","snapshot_observed_at":"2026-07-06T17:52:42.437336Z","submitted_at":"2024-03-28T17:59:49Z","title":"RSMamba: Remote Sensing Image Classification with State Space Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19654","snapshot_observed_at":"2026-08-10T21:25:58.691618Z","title":"Rsmamba: Remote sensing image classification with state space model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.691618Z"},"links":{"cited_paper":"/paper/2403.19654","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:a85c3ba53ab3d8063304770cf9db8076b312158c5b29e9ac9bc996e99aa1a4aa","observation_id":"d5955140-eacb-4c3b-a33b-08308661eda5","resolution":{"observed_at":"2026-08-10T21:25:58.691618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10739","last_updated":"2024-11-25T01:45:35Z","snapshot_observed_at":"2026-08-10T12:05:50.451265Z","submitted_at":"2024-02-16T14:56:13Z","title":"PointMamba: A Simple State Space Model for Point Cloud Analysis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10739","snapshot_observed_at":"2026-08-10T21:25:58.694920Z","title":"Pointmamba: A simple state space model for point cloud analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.694920Z"},"links":{"cited_paper":"/paper/2402.10739","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:12366db3f355310c8f9bd79e02283dbb072a492e325a5e4cf8e68be918607279","observation_id":"f7aac2e0-3376-4664-b8f8-4e4277f12b8c","resolution":{"observed_at":"2026-08-10T21:25:58.694920Z","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":"2026-08-10T21:25:59.239270Z","title":"Knn-based representation of superpixels for hyperspectral image classification,","venue":null,"work_id":"9f6e3ecf-ee5e-4e8d-85ba-e4346bbf21d9","year":2018},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.698380Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:d81dcb51a213c71632b59331e8153f4223467e7ab82ba06a23ef8c4f5a011b6d","observation_id":"2506efad-8e61-4e61-9e40-98a93b291633","resolution":{"observed_at":"2026-08-10T21:25:59.243760Z","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":"2026-08-10T21:25:59.227778Z","title":"Exploring the relationship between center and neighborhoods: Central vector oriented self-similarity network for hyperspectral image classification,","venue":null,"work_id":"ff10963c-82e3-4b75-8b9b-2cdadf28e6ee","year":1979},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.701392Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:c53e96879ed4706f1ece3e9cb525af61aa38ec2774d757f615944a6ab44da214","observation_id":"c6109a1c-718f-4648-a8f4-909686007301","resolution":{"observed_at":"2026-08-10T21:25:59.231952Z","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":"2026-08-10T21:25:59.215728Z","title":"Spectral–spatial feature tokenization transformer for hyperspectral image classification,","venue":null,"work_id":"0cce4fe5-629c-4f66-96b8-cb098fb253a9","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.704623Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:27e920164d8df5641b26fd4e2b7f358da50a13a3bc91cfbc0ce9e8194da7c243","observation_id":"2b3680ec-ea09-4665-a1e2-ddf90263f0e3","resolution":{"observed_at":"2026-08-10T21:25:59.220659Z","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":"2026-08-10T21:25:59.196089Z","title":"Hyperspectral image classification using group-aware hierarchical transformer,","venue":null,"work_id":"099186aa-1f83-4187-870e-c7f19d6e7d52","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.707590Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:afcd20186551963db3cc7241838af1db71f4f5825a84dc20a378d892c0e30855","observation_id":"2af8fd69-2577-4b08-834c-96c9ddc5a0f8","resolution":{"observed_at":"2026-08-10T21:25:59.204257Z","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":"2026-08-10T21:25:59.187464Z","title":"Spectral–spatial clas- sification of hyperspectral images with a superpixel-based discriminative sparse model,","venue":null,"work_id":"7ca6178b-b551-40a9-8f5d-9f07ae0a2a9f","year":2015},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.711093Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:44807efb056fedea05bf62e551bfb7742ae7a53080d3cf18fa66e307c36c38d3","observation_id":"f04ff6ac-2d7d-46ee-946e-068b8aed7576","resolution":{"observed_at":"2026-08-10T21:25:59.190449Z","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":"2026-08-10T21:25:59.179556Z","title":"Classification of hyperspectral data from urban areas based on extended morpholog- ical profiles,","venue":null,"work_id":"6f841161-fa46-4180-8f23-dc609afd24e4","year":2005},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.714352Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:b7c72f6176691b0cbb5bd8cb3935b59f8c4fd363464b8bc427ddf699920bf3c2","observation_id":"19e0cfa5-ab8c-40c8-9847-172d905b2c0b","resolution":{"observed_at":"2026-08-10T21:25:59.182683Z","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":"2026-08-10T21:25:59.170620Z","title":"Representa- tive multiple kernel learning for classification in hyperspectral imagery,","venue":null,"work_id":"74dd4b8f-46f9-49ba-8714-1cfb89bfe250","year":2012},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.717117Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:b9849f87b7794475baed6cdbc5d5fdde41d796b8940f96cd043712c197eea8c5","observation_id":"8e7b9db1-2a6d-4670-8b32-6a42837ed388","resolution":{"observed_at":"2026-08-10T21:25:59.173912Z","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":"2026-08-10T21:25:59.161654Z","title":"Representation learning: A review and new perspectives,","venue":null,"work_id":"c7229767-c475-4abd-a1c6-ef1ef13736e1","year":2013},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.719905Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:7f41554f0f636bca4a83ee5feedb0512de24a57ac45ee4c6bb9520b29a2d375c","observation_id":"01a3a622-aee4-43f4-bb11-4e4f7c6cd115","resolution":{"observed_at":"2026-08-10T21:25:59.165032Z","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":"2026-08-10T21:25:59.152128Z","title":"Spectral– spatial graph convolutional networks for semisupervised hyperspectral image classification,","venue":null,"work_id":"3cc06789-6b3c-4e1a-93c1-9777f41f1c8a","year":2018},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.722422Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:ec0e56fec0fcd4ecfb6d06ad3484e29c93f1483436430bfa2f5e890f6b6fa8d3","observation_id":"4f44d74b-4763-4182-beba-c1e2f9073932","resolution":{"observed_at":"2026-08-10T21:25:59.155737Z","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":"2026-08-10T21:25:59.143292Z","title":"Hyperspectral image classification with context-aware dynamic graph convolutional network,","venue":null,"work_id":"199c628f-c271-4feb-ae70-b5e95152273b","year":2021},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.724902Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:8a1fa9c3fad7f70898f2678ee5f2992945afa0ee9777fe986bef1200fd31e987","observation_id":"296f0d3e-6200-46d0-b776-d5de878c3f4e","resolution":{"observed_at":"2026-08-10T21:25:59.146702Z","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":"2026-08-10T21:25:59.133755Z","title":"Graph-in-graph convolutional network for hyperspectral image classification,","venue":null,"work_id":"82431de0-0e95-4237-b559-5c614a91298e","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.728082Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:e0adf1b7b9b586bc2bc82c62b4241280148673a0f2fb72034cf91da6c5e82cdd","observation_id":"b5fd1145-9a74-4ff2-b60b-c9d8c074c253","resolution":{"observed_at":"2026-08-10T21:25:59.137767Z","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":"2026-08-10T21:25:59.123754Z","title":"Hyperspectral image clas- sification—traditional to deep models: A survey for future prospects,","venue":null,"work_id":"5f5096da-8d8c-4330-9af8-1e9074664677","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.731333Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:6ec8295e750d91359c9759718b89897326ac1d752832eacc2c5156483fadbf7b","observation_id":"5cbefb92-62ce-498d-b8a8-72c3c754e93a","resolution":{"observed_at":"2026-08-10T21:25:59.127924Z","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":"2026-08-10T21:25:59.105994Z","title":"Deep convolutional neural networks for hyperspectral image classification,","venue":null,"work_id":"bc256f94-a7de-403d-a3b2-85d8d9e11cd4","year":2015},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.738197Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:d51a660b2c309d4de63c66761de58cf0dcabd44b77ab6aba5f3b95a54fdeacee","observation_id":"b9707773-4631-47a9-9e54-d4dc2bf59fc0","resolution":{"observed_at":"2026-08-10T21:25:59.109065Z","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":"2026-08-10T21:25:59.098317Z","title":"Hierarchical multi-scale convolutional neural networks for hyperspectral image classification,","venue":null,"work_id":"6d467ccc-25fa-4bce-881c-4acea061abe5","year":2019},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.742357Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:3f399e4b4dcf36639c84f7f88538acea11318aff26bf33acabc5d6bfdd534626","observation_id":"3882f8ac-af0d-424c-a76e-5558820ca7ff","resolution":{"observed_at":"2026-08-10T21:25:59.101037Z","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":"2026-08-10T21:25:59.088610Z","title":"A fast and compact 3-d cnn for hyperspectral image classification,","venue":null,"work_id":"f9014a52-1cb7-492f-8f55-efbebc15a66c","year":2020},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.745556Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:fcbfb62cca40817cd3cb41472502e4fac0fb7dd26030ff4c800e28c0d9296ccf","observation_id":"4ca7c31d-e422-4049-a54e-989468e4c33c","resolution":{"observed_at":"2026-08-10T21:25:59.092066Z","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":"2026-08-10T21:25:59.079334Z","title":"Fully contextual network for hyper- spectral scene parsing,","venue":null,"work_id":"b3260aa1-b268-4391-b309-950b5e78bf8c","year":2021},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.748561Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:12073cbb1e59b1f359b5f66d11359252fc1aa72c7f0472b3ecd684db2118c568","observation_id":"b996113b-cdd6-4e8c-99b8-438c4c01c967","resolution":{"observed_at":"2026-08-10T21:25:59.082805Z","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":"2026-08-10T21:25:59.069896Z","title":"Spatial–spectral transformer with cross-attention for hyperspectral image classification,","venue":null,"work_id":"b01cc4e5-e45b-469a-9127-773e713438a4","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.751394Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:be3e9c488aa56e5ec8f1bb5a76cc0c94cbcef114e88c415bbb7cf4498c5351e6","observation_id":"d3f9e46d-5ea3-4e5a-88b6-dc8aba2c8982","resolution":{"observed_at":"2026-08-10T21:25:59.073244Z","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":"2026-08-10T21:25:59.114613Z","title":"From center to surrounding: An interactive learning framework for hyperspectral image classification,","venue":null,"work_id":"e82b3466-7066-4949-808b-8cd72f939a7d","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.754242Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:132ad835ad926053d68a1248cd2332ae1ff02eaa47efcaee470b4fc43905612c","observation_id":"46e7596f-5aeb-48d0-922a-b15c3f3ac3e9","resolution":{"observed_at":"2026-08-10T21:25:59.118074Z","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":"2026-08-10T21:25:59.059699Z","title":"Local transformer with spatial partition restore for hyperspectral image classification,","venue":null,"work_id":"5a463cf1-54e5-46dd-882c-2e48704ac5f8","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.757283Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:c77a6396e1302f931911d9e96b291239172dd10318dfc6ae2c8be12e83952a77","observation_id":"267964a2-9079-4dee-8ef5-7183c0031470","resolution":{"observed_at":"2026-08-10T21:25:59.064231Z","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":"2026-08-10T21:25:59.049625Z","title":"Spformer: Self- pooling transformer for few-shot hyperspectral image classification,","venue":null,"work_id":"f181dd3c-5b3b-4504-8176-21032f046938","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.760130Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:9d0f0d1ed2ecfc3fefa07362ba3ea3725a5f100e232bb6e7a887bae969bdc6d0","observation_id":"328885bf-c5f6-461c-a041-121e59fdc57b","resolution":{"observed_at":"2026-08-10T21:25:59.053842Z","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":"2026-08-10T21:25:59.040999Z","title":"Simplified state space layers for sequence modeling,","venue":null,"work_id":"18a5639a-9c0f-4ec8-a8c9-e0a070737f7a","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.763323Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:b8adfd139dddbfae68163afe64e7dc5e72f64052b36353ca8144dd988c2b6d86","observation_id":"31bb683d-f0c8-49c2-95de-c264785597e6","resolution":{"observed_at":"2026-08-10T21:25:59.043899Z","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":"2026-08-10T21:25:59.031738Z","title":"Hungry hungry hippos: Towards language modeling with state space models,","venue":null,"work_id":"1a18444b-0e47-4103-8e58-e2fc57ccea0e","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.766471Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:01cf3a7047f0b60de0d64e1728d72d176e9fe382b791df524f5eca3e2f52e948","observation_id":"ecf3ca55-f65c-4ce8-a223-f2eeb6be295b","resolution":{"observed_at":"2026-08-10T21:25:59.035133Z","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":"2026-08-10T21:25:59.021303Z","title":"Long range language modeling via gated state spaces,","venue":null,"work_id":"489085a5-421a-4b99-a4a4-5cc559698d21","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.769655Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:826494549ee1a5592ca4c480471542a3d3d75f2c0179881c4223415e7c462cb0","observation_id":"129a2229-0029-4d49-a7ef-6b7361eb3c90","resolution":{"observed_at":"2026-08-10T21:25:59.025337Z","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":"2026-08-10T21:25:59.011873Z","title":"S4ND: Modeling images and videos as multidimensional signals with state spaces,","venue":null,"work_id":"32f217d9-5879-4971-adee-17a2fc901171","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.772568Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:19272e967bff3b9de2c74e9cb15b1d3731c36d4cc22049343bbeca0f2faabac9","observation_id":"4c5e69f3-c50f-4f92-a29e-a7a25c1e6aee","resolution":{"observed_at":"2026-08-10T21:25:59.015288Z","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":"2026-08-10T21:25:59.001339Z","title":"Efficient movie scene detection using state-space transformers,","venue":null,"work_id":"4bd6ccb2-f6e5-4bce-8c8c-2b744e3b26a1","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.775434Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:584e77db5247fa644be8155eb076eb3eaf1cf1217b4512d89f077dd05a62d72b","observation_id":"0f950f1a-a1fd-40eb-b0c0-59ec8b49e589","resolution":{"observed_at":"2026-08-10T21:25:59.005236Z","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":"2026-08-10T21:25:58.990467Z","title":"Selective structured state-spaces for long-form video understanding,","venue":null,"work_id":"6a3b8178-23a8-469f-b895-7742096bff2f","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.778452Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:14e4cf74badd6b735ab75d3d6a5c899a39ef749e49847032efe35986b10e0122","observation_id":"94237d75-f887-4f0d-ae93-df2af8a99a29","resolution":{"observed_at":"2026-08-10T21:25:58.994819Z","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":"2404.08489","last_updated":"2024-04-12T14:12:03Z","snapshot_observed_at":"2026-08-08T22:55:41.729074Z","submitted_at":"2024-04-12T14:12:03Z","title":"SpectralMamba: Efficient Mamba for Hyperspectral Image Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.08489","snapshot_observed_at":"2026-08-10T21:25:58.781499Z","title":"Spectralmamba: Effi- cient mamba for hyperspectral image classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.781499Z"},"links":{"cited_paper":"/paper/2404.08489","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:2827f352423e9777c892ced667613831ea9b26c55e1f02e1f34fed9c26c6d6a3","observation_id":"5625b70c-befc-4268-86c5-fcdc97f79568","resolution":{"observed_at":"2026-08-10T21:25:58.781499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12487","last_updated":"2024-08-08T13:40:06Z","snapshot_observed_at":"2026-08-10T06:16:02.547627Z","submitted_at":"2024-05-21T04:10:26Z","title":"3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification","version":2},"cited_work":{"arxiv_id":"2405.12487","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.12487","snapshot_observed_at":"2026-08-10T21:25:58.854722Z","title":"3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification","venue":"cs.CV","work_id":"e99dda9d-3d23-4cfe-b0ca-9eddf846a9b4","year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.784808Z"},"links":{"cited_paper":"/paper/2405.12487","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:2807bacf1a844f8ee851d59da915c9e6a5bfb77fb92d6ab3046859f8cf6faeec","observation_id":"f685c234-ae96-4075-9201-6c303c07a891","resolution":{"observed_at":"2026-08-10T21:25:58.860750Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18401","last_updated":"2024-08-01T09:04:39Z","snapshot_observed_at":"2026-07-06T18:06:49.190172Z","submitted_at":"2024-04-29T03:36:05Z","title":"Spectral-Spatial Mamba for Hyperspectral Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.18401","snapshot_observed_at":"2026-08-10T21:25:58.788136Z","title":"Spectral-spatial mamba for hyperspec- tral image classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.788136Z"},"links":{"cited_paper":"/paper/2404.18401","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:036278773165fe9a84fcb8b68abc530ca529e97af47c66f7e3002fff21a2e643","observation_id":"a01b4cf5-9e65-4002-b974-2b098bee6d9e","resolution":{"observed_at":"2026-08-10T21:25:58.788136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07050","last_updated":"2024-06-11T08:26:42Z","snapshot_observed_at":"2026-08-11T00:46:10.858793Z","submitted_at":"2024-06-11T08:26:42Z","title":"DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07050","snapshot_observed_at":"2026-08-10T21:25:58.791543Z","title":"Dualmamba: A lightweight spectral-spatial mamba-convolution network for hyperspec- tral image classification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.791543Z"},"links":{"cited_paper":"/paper/2406.07050","citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:4f94c1ba3e6abc4de3b7ab722f6564ef1689c4eef751f34195685f1a081efc7a","observation_id":"a6d1c292-4991-44cd-b2d1-3b2f4f484358","resolution":{"observed_at":"2026-08-10T21:25:58.791543Z","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":"2026-08-10T21:25:58.794170Z","title":"Non-local neural net- works,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.794170Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:b4be04650dc75a7881908b3ac74ba01951b0a4b2a3ca0a874fb0a9b8a3352cd5","observation_id":"0441a6ad-b215-4baa-8d32-fd5123019a9b","resolution":{"observed_at":"2026-08-10T21:25:58.794170Z","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":"2026-08-10T21:25:58.976623Z","title":"Efficient deep learning of nonlocal features for hyperspectral image classification,","venue":null,"work_id":"3d3bdca3-1ef2-49a1-8de4-f7ca7cfd38e4","year":2021},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.796666Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:de83db4265f61e68267d91852cc38779481b001acb7c762993a34fee967d92a0","observation_id":"adb8d761-b55e-4e3d-bb12-f7284445903a","resolution":{"observed_at":"2026-08-10T21:25:58.979783Z","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":"2026-08-10T21:25:58.966629Z","title":"Global–local 3-d convolutional transformer network for hyperspectral image classification,","venue":null,"work_id":"0a3d9f81-d1ac-4cad-945b-810c7ecd80fd","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.799275Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:ba5ff938565d864db24194df1f05971727d7829ba802991eb58c6c9a624d95f0","observation_id":"a132aea3-1192-4a00-8022-9cbf461a56d7","resolution":{"observed_at":"2026-08-10T21:25:58.970259Z","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":"2026-08-10T21:25:58.956421Z","title":"Large kernel spectral and spatial attention networks for hyperspectral image classification,","venue":null,"work_id":"7d9f8ab5-0a52-4216-87f9-a40e38a396e1","year":2023},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.801914Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:dc20ae463bef209bc96d20ca59e63ba31ff5e3e3a1b8bccddefe7e7d8a204c83","observation_id":"5d59ac4d-fea6-4f3d-ae90-97ef1016c1d1","resolution":{"observed_at":"2026-08-10T21:25:58.960226Z","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":"2026-08-10T21:25:58.804342Z","title":"Zhong, X","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.804342Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:872bb79123b79be21080283814f7d9afcb2f2f29f38c9ef6079f70012512eb17","observation_id":"c1434ea6-3558-4eb6-ae58-f93df4bec268","resolution":{"observed_at":"2026-08-10T21:25:58.804342Z","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":"2026-08-10T21:25:58.941481Z","title":"Fully contextual network for hyper- spectral scene parsing,","venue":null,"work_id":"2cf3ef9e-2752-44ee-ac85-3b291f281a8b","year":2022},"citing_paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:58.806755Z"},"links":{"citing_paper":"/paper/2501.04944"},"observation_digest":"sha256:475b241b56ae351a4300955f183ba16468c1e9dea72e155c09efc4f183a6fa60","observation_id":"ddb3633a-2f27-417a-846f-5db7c2ff8e36","resolution":{"observed_at":"2026-08-10T21:25:58.945011Z","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"}}],"paper":{"arxiv_id":"2501.04944","last_updated":"2025-01-09T03:27:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T13:09:47.894029Z","submitted_at":"2025-01-09T03:27:47Z","title":"MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":47},"total_outbound_references":65},"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 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2501.04944."}