Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T21:05:38.585896Z
Paper Citation Record · LEDGER
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss
As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.09453.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
34 of 34 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8f6dbae6-b3bf-46bc-a1cb-3a598351ca53 · outbound
This paper cites The enmap imaging spectroscopy mission towards operations,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss The enmap imaging spectroscopy mission towards operations,
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b64d020c-330a-4f25-8de5-242bc018f01a · outbound
This paper cites Prisma: The italian hyperspectral mission,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Prisma: The italian hyperspectral mission,
Reference 2
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 36af45d0-44ec-48f1-ba85-377e02ca2a38 · outbound
This paper cites Planet imagery and data,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Planet imagery and data,
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4f0c0ddd-e1d7-4530-a148-932f76cd80ed · outbound
This paper cites Spectralgpt: Spectral remote sensing foun- dation model,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Spectralgpt: Spectral remote sensing foun- dation model,
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d489d418-40f9-4107-af90-079be64c8249 · outbound
This paper cites Remoteclip: A vision language foundation model for remote sensing,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Remoteclip: A vision language foundation model for remote sensing,
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 908acb21-4902-4df6-abd4-fd9b4e3323a4 · outbound
This paper cites Ringmo: A remote sensing foundation model with masked image modeling,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Ringmo: A remote sensing foundation model with masked image modeling,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8372e7be-307a-446e-99ad-df707d523dd8 · outbound
This paper cites Foundation models for generalist geospatial artificial intelligence,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Foundation models for generalist geospatial artificial intelligence,
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7b22a683-e7ef-456e-8315-bd7a6c77891a · outbound
This paper cites Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery,
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation c03622ba-c9bd-443f-a16e-852849c15e3c · outbound
This paper cites Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fe07cd7-3f32-4b1e-aaf7-af1c7893f23a · outbound
This paper cites The harmonized landsat and sentinel-2 surface reflectance data set,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss The harmonized landsat and sentinel-2 surface reflectance data set,
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b41397f3-f65e-4412-aa4f-3332051cdcdb · outbound
This paper cites Knowledge distillation: A survey,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Knowledge distillation: A survey,
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07a2b8e4-014b-48cb-b5f0-21f55a729639 · outbound
This paper cites Distilling the Knowledge in a Neural Network.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Distilling the Knowledge in a Neural Network
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6012d2eb-3f6d-4843-bbc4-823476aedd7b · outbound
This paper cites Knowledge distillation with feature self attention,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Knowledge distillation with feature self attention,
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ab9830e9-e72a-46fe-b03c-90b9e642246b · outbound
This paper cites Efficient object detection in optical remote sensing imagery via attention-based feature distillation,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Efficient object detection in optical remote sensing imagery via attention-based feature distillation,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:05:42.059799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a1e6a5cf-acd5-4142-960a-944a06b2c55b · outbound
This paper cites Self-supervised learning with adaptive distillation for hyperspectral image classification,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Self-supervised learning with adaptive distillation for hyperspectral image classification,
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a79e5632-34a9-498c-af35-149c99ffbb02 · outbound
This paper cites A novel knowledge distillation method for self-supervised hyperspectral image classification,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss A novel knowledge distillation method for self-supervised hyperspectral image classification,
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7398e00e-117f-4e63-9075-736c286b91b9 · outbound
This paper cites Siamohot: A lightweight dual siamese network for onboard hyperspectral object tracking via joint spatial-spectral knowledge distillation,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Siamohot: A lightweight dual siamese network for onboard hyperspectral object tracking via joint spatial-spectral knowledge distillation,
Reference 17
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40899f6d-248e-431b-8316-924323761e6c · outbound
This paper cites Random shuffling data for hyperspectral image classification with siamese and knowledge distillation network,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Random shuffling data for hyperspectral image classification with siamese and knowledge distillation network,
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a6a82141-6f2a-4e1f-9642-aa0e0b9eaf8e · outbound
This paper cites Self-supervised learning with adaptive distillation for hyperspectral image classification,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Self-supervised learning with adaptive distillation for hyperspectral image classification,
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d52f01ba-9eea-4c01-b638-067a548e103c · outbound
This paper cites Multimodal online knowledge distillation framework for land use/cover classification using full or missing modalities,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Multimodal online knowledge distillation framework for land use/cover classification using full or missing modalities,
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dffe6497-ccf5-4456-a783-01a9d3a11da9 · outbound
This paper cites Strm-kd: Semantic topological relation matching knowledge distillation model for smart agriculture apple leaf disease recognition,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Strm-kd: Semantic topological relation matching knowledge distillation model for smart agriculture apple leaf disease recognition,
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bd59d16e-c062-4f5d-8b68-6f3dfdace938 · outbound
This paper cites A survey on computational spectral reconstruction methods from rgb to hyperspectral imaging,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss A survey on computational spectral reconstruction methods from rgb to hyperspectral imaging,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:05:40.678770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 040ec6e4-86a7-4795-9b6d-3e37e61573b0 · outbound
This paper cites Lambertian reflectance,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Lambertian reflectance,
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 371a6596-4e39-4665-87be-4011246a08eb · outbound
This paper cites On information and sufficiency,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss On information and sufficiency,
Reference 24
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- verified fuzzy
- raw_fallback, observed 2026-08-05T21:05:40.393127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0275c102-3d9d-445c-857e-d63e1a944c29 · outbound
This paper cites Divergence measures based on the shannon entropy.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Divergence measures based on the shannon entropy
Reference 25
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- raw_fallback, observed 2026-08-05T21:05:40.232548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c4a0d0ea-5ade-4dbe-a9f9-32840c2760b6 · outbound
This paper cites Theory of communication. part 1: the analysis of information. j inst electr eng-part iii: Radio commun eng 93 (26): 429–441,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Theory of communication. part 1: the analysis of information. j inst electr eng-part iii: Radio commun eng 93 (26): 429–441,
Reference 26
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 29e1ee6f-5165-43c5-a762-67f8024058f1 · outbound
This paper cites Meyer, Wavelets and operators: volume 1.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Meyer, Wavelets and operators: volume 1
Reference 27
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- raw_fallback, observed 2026-08-05T21:05:39.923981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f78ff688-f4e3-4182-9329-a29f440cad4e · outbound
This paper cites Gabor filter-based edge detection,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Gabor filter-based edge detection,
Reference 28
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- raw_fallback, observed 2026-08-05T21:05:39.713203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cca607cf-5d12-4e0e-80bc-9be0b9a3de0f · outbound
This paper cites Image quality assess- ment: from error visibility to structural similarity,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Image quality assess- ment: from error visibility to structural similarity,
Reference 29
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- verified fuzzy
- raw_fallback, observed 2026-08-05T21:05:39.546507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 780f9d88-a272-402f-bef4-43ee6483ba72 · outbound
This paper cites A perceptually relevant mse-based image quality metric,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss A perceptually relevant mse-based image quality metric,
Reference 30
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- raw_fallback, observed 2026-08-05T21:05:39.406347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 25670966-1d65-4e17-9ccd-5f39bd278310 · outbound
This paper cites Structural texture similarity metrics for image analysis and retrieval,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Structural texture similarity metrics for image analysis and retrieval,
Reference 31
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- raw_fallback, observed 2026-08-05T21:05:39.255612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 86f1b2d6-d95e-4605-abf9-ba151330fe58 · outbound
This paper cites Annual nlcd (national land cover database)—the next generation of land cover mapping,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Annual nlcd (national land cover database)—the next generation of land cover mapping,
Reference 32
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- raw_fallback, observed 2026-08-05T21:05:39.092915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4e19dab5-e981-4b17-9dc0-ab1ab0dee931 · outbound
This paper cites Examining the characteristics of the cropland data layer in the context of estimating land cover change,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Examining the characteristics of the cropland data layer in the context of estimating land cover change,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T21:05:38.926129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8f5fd0fd-cf8c-4f2f-acdd-273ab95ed911 · outbound
This paper cites Gridded national soil survey geographic (gnatsgo) database for the conterminous united states,.
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss Gridded national soil survey geographic (gnatsgo) database for the conterminous united states,
Reference 34
- Resolution
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- raw_fallback, observed 2026-08-05T21:05:38.788087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
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