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Paper Citation Record · LEDGER

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation

As of 6 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2605.13581.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.13581 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T23:58:01.985415Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

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External citation measurements

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Outbound references

Observation e6e67a7b-cdaa-4d29-8c69-44df26be3512 · outbound

This paper cites Coupled segmentation and denoising/deblurring models for hyperspectral material identification.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Coupled segmentation and denoising/deblurring models for hyperspectral material identification

Reference 1

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Observation 650d1ed5-ac6e-43c7-b6ac-bc3c2eaa87cb · outbound

This paper cites Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumi- nation and atmospheric conditions.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumi- nation and atmospheric conditions

Reference 2

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Observation bcee0dd0-beb0-433f-b5c0-597c36363044 · outbound

This paper cites Hyperspectral image dataset for benchmarking on salient object detection.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image dataset for benchmarking on salient object detection

Reference 3

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Observation 689f2741-9c3f-4361-8282-9573ad760815 · outbound

This paper cites Material based salient object detection from hyperspectral images.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Material based salient object detection from hyperspectral images

Reference 4

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Observation 8e82278d-5305-42e0-ad5d-0404412359c5 · outbound

This paper cites Object detection in hyperspectral images.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Object detection in hyperspectral images

Reference 5

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Observation 352d51a3-2e30-4f0e-839b-f505b9389a6a · outbound

This paper cites Hyperspectral imaging for clinical applications.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral imaging for clinical applications

Reference 6

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Observation e7667999-ab6f-44a8-acb3-5cacd8cb1a6e · outbound

This paper cites Detection of preinvasive cancer cells.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Detection of preinvasive cancer cells

Reference 7

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Observation 8538fe2e-1ca8-4c6d-b366-0c20c8ca0832 · outbound

This paper cites Borengasser, W.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Borengasser, W

Reference 8

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Source-reported events for the cited work

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Observation cb4c1059-25bd-4aa3-a145-6d64d2d0a065 · outbound

This paper cites Overview of hyperspectral imaging remote sensing from satellites.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Overview of hyperspectral imaging remote sensing from satellites

Reference 9

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Source-reported events for the cited work

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Observation 4bfddf1e-55e2-4fa3-a3ad-c0b87a1dfc44 · outbound

This paper cites Sparse recovery of hyperspectral signal from natural rgb images.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Sparse recovery of hyperspectral signal from natural rgb images

Reference 10

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Observation 034e8975-87e5-4704-b6ad-36278924a9d9 · outbound

This paper cites Generalized assorted pixel camera: Postcapture control of resolution, dynamic range, and spectrum.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Generalized assorted pixel camera: Postcapture control of resolution, dynamic range, and spectrum

Reference 11

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Observation 37142950-9bca-42cc-9c07-7549224c32b9 · outbound

This paper cites Hyperspectral image restoration using low-rank matrix recovery.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image restoration using low-rank matrix recovery

Reference 12

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Source-reported events for the cited work

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Observation 8edf83fd-98d2-4fd6-a5e5-6430db74fe05 · outbound

This paper cites Hyperspectral image restoration using weighted group sparsity-regularized low-rank tensor decomposition.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image restoration using weighted group sparsity-regularized low-rank tensor decomposition

Reference 13

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Observation cda3b9c6-e5b8-40b2-9d97-17b8aadcba01 · outbound

This paper cites Hyperspectral image denoising with weighted nonlocal low-rank model and adaptive total variation regularization.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image denoising with weighted nonlocal low-rank model and adaptive total variation regularization

Reference 14

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Source-reported events for the cited work

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Observation 4339fb03-152c-4d30-a093-5a9d9b942b4f · outbound

This paper cites Hyperspectral image denoising via texture-preserved total variation regularizer.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image denoising via texture-preserved total variation regularizer

Reference 15

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Source-reported events for the cited work

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Observation a75cd167-1f94-4f9b-997a-5433c48af4a6 · outbound

This paper cites Image restoration for remote sensing: Overview and toolbox.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Image restoration for remote sensing: Overview and toolbox

Reference 16

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Observation 8a54fcde-0f42-4d72-877b-e829d754434d · outbound

This paper cites Trq3dnet: A 3d quasi-recurrent and transformer based network for hyperspectral image denoising.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Trq3dnet: A 3d quasi-recurrent and transformer based network for hyperspectral image denoising

Reference 17

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Source-reported events for the cited work

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Observation 0c771806-0d27-47bf-a575-207ec69f73b6 · outbound

This paper cites Progressive hyperspectral image destriping with an adaptive frequencial focus.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Progressive hyperspectral image destriping with an adaptive frequencial focus

Reference 18

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Observation f9c90e7d-eb1e-453e-b300-1bc01cb55f09 · outbound

This paper cites Spectral enhanced rectangle transformer for hyperspectral image denoising.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Spectral enhanced rectangle transformer for hyperspectral image denoising

Reference 19

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Source-reported events for the cited work

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Observation c4b4226d-52ce-4823-b15c-403f91899c94 · outbound

This paper cites Ssumamba: Spatial-spectral selective state space model for hyperspectral image denoising.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Ssumamba: Spatial-spectral selective state space model for hyperspectral image denoising

Reference 20

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Source-reported events for the cited work

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Observation 9db9e9de-2c34-47a8-8fd6-55cc43c02017 · outbound

This paper cites Available: https://ui.adsabs.harvard.edu/abs/2024ITGRS.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Available: https://ui.adsabs.harvard.edu/abs/2024ITGRS

Reference 21

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Observation 73b8e2ce-f2bc-4618-98bf-cb704ded2741 · outbound

This paper cites Mp-hsir: A multi-prompt framework for universal hyperspectral image restoration.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Mp-hsir: A multi-prompt framework for universal hyperspectral image restoration

Reference 22

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Source-reported events for the cited work

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Observation b4ce2483-be8f-422d-a382-de9e32c7002f · outbound

This paper cites Denoising hyper- spectral image with non-i.i.d. noise structure.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Denoising hyper- spectral image with non-i.i.d. noise structure

Reference 23

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Source-reported events for the cited work

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Observation 40f3f883-42c5-4bdc-a3ae-d4f40383ab7f · outbound

This paper cites Hyperspectral image restoration under complex multi-band noises.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image restoration under complex multi-band noises

Reference 24

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Source-reported events for the cited work

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Observation b3414625-362d-4969-90bc-8e1628245e4f · outbound

This paper cites Hyperspectral image restoration combining intrinsic image characterization with robust noise modeling.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image restoration combining intrinsic image characterization with robust noise modeling

Reference 25

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verified fuzzy
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Source-reported events for the cited work

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Observation b57f8b55-3510-4916-916e-45923d7450a3 · outbound

This paper cites Hyperspectral image denoising by asymmetric noise modeling.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image denoising by asymmetric noise modeling

Reference 26

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Source-reported events for the cited work

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Observation 5fa50ae9-9e9b-459d-bf2b-136884251e56 · outbound

This paper cites Adaptive hyperspectral mixed noise removal.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Adaptive hyperspectral mixed noise removal

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 10381fdd-658d-47a6-9d77-b82c192c962f · outbound

This paper cites Fasthymix: Fast and parameter-free hy- perspectral image mixed noise removal.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Fasthymix: Fast and parameter-free hy- perspectral image mixed noise removal

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7f89a7c5-0e5d-4b30-9eba-c47d0cbeddda · outbound

This paper cites Denoising diffusion probabilistic models.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Denoising diffusion probabilistic models

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c5dbb54c-fa93-4704-943a-7bb6e5c4e402 · outbound

This paper cites Denoising Diffusion Implicit Models.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Denoising Diffusion Implicit Models

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 913521f3-3389-4ea7-9251-7c7dd0479ca3 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Generative modeling by estimating gradients of the data distribution

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 06eb9bdd-d8be-41ea-878e-6ecb85fae61c · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 56db1503-4989-4328-b070-ff4cfeaabdfa · outbound

This paper cites Diffusion models beat gans on image synthesis.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Diffusion models beat gans on image synthesis

Reference 33

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verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.938006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:9d5c0050b87bebe6bd0aabd80e95aefa0b38e3bc0adc2b6fd3d39756078e0646

Observation e7065e4d-5a6f-42fa-90e1-f9d19c5a6179 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-03T00:07:27.659222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:3e75ea25f4ad24063428ee206a913074814bf5637cb0546e066522f5c88934ad

Observation de26c384-da65-4294-abe0-fe8e8c89918f · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation High- resolution image synthesis with latent diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.106738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:fe0bf9b91f416db7e876584e9c31363e2269b0c9351819c32272d7983bcaf153

Observation a0d9227c-900b-40d9-a53b-8d2c0d97ce87 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-03T00:07:27.657636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:d3f03cb9cd33ba9592830e3501739858c6adb4d94e0e4bfc43ed465f23e0f389

Observation cf0e31f6-aeb1-4019-8ae6-c09b727340fd · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Photorealistic text-to- image diffusion models with deep language understanding

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.987226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:6486413ad653187f122b089a7a1d672aa8746b6a2801cc43203ceeadce6ca121

Observation dc4811b9-7cb7-4e96-b059-9589c99c3dbc · outbound

This paper cites Scalable diffusion models with transformers.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Scalable diffusion models with transformers

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.030063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:5d3009737b58d03aab60de0b74627f0cbc9dd5427b15dd035a6cf51d3f3f193f

Observation e7e82111-592e-44cb-8f21-33dc6406fef1 · outbound

This paper cites Crs-diff: Controllable remote sensing image generation with diffusion model.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Crs-diff: Controllable remote sensing image generation with diffusion model

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.019965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:952f9010629b37bf61a98b40216292510cd0f3be354fe97cfbc11d5fd5271682

Observation cd6bfb46-a747-4da9-8aec-083062887703 · outbound

This paper cites Aerogen: enhancing remote sensing object detection with diffusion-driven data generation.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Aerogen: enhancing remote sensing object detection with diffusion-driven data generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.130112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:6f5483cf8de19b5cb8b4ec6245a38cb9261107ceab5bc99efb13627bd5036330

Observation e30fadc5-a73b-428d-8724-7bdb8053b95f · outbound

This paper cites arXiv:2510.21391 [cs] doi:10.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation arXiv:2510.21391 [cs] doi:10

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:07:27.665723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:f36d9a539911bc32401039825df8302163ff175e981067a2959e25bd218721dd

Observation c8b99058-5c9c-448a-9d5b-2867841cb241 · outbound

This paper cites HSIGene: A Foundation Model For Hyperspectral Image Generation.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation HSIGene: A Foundation Model For Hyperspectral Image Generation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:27.653757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:ccdf35bf892e5f81b0c604957069b2132a833b7440f39f468197807e23b5f414

Observation 05b00ef0-8bd9-48d6-a909-1ef4178d9584 · outbound

This paper cites Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.994037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:7dda8ad3f8a5d50a52239c40a584fd6c5afa568153c03df402f7c55d7b584cf7

Observation b747bbb9-5983-4b84-9d7f-44729b0e8e6b · outbound

This paper cites Hyperspectral restoration vial 0 gradient regularized low-rank tensor factorization.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral restoration vial 0 gradient regularized low-rank tensor factorization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.009380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:c0878a3bf642c49abc282de525277838f331b11bd2302f54ec438f0d1b519508

Observation a7e10785-5354-47fb-beb9-ba5424b7dd5b · outbound

This paper cites Enhanced 3dtv regularization and its applications on hsi denoising and compressed sensing.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Enhanced 3dtv regularization and its applications on hsi denoising and compressed sensing

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.956247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:3e648d07a740a51eef0e7ecae7eae9a977c7b0c30a519881ac4f1f36144df0bb

Observation c6954eb0-67bd-4f6b-b2f1-e0feda645db1 · outbound

This paper cites Fast noise removal in hyperspectral images via representative coefficient total variation.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Fast noise removal in hyperspectral images via representative coefficient total variation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.118154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:818f9b2f6716b382f8b2da9f49535d34e82a43cf9a25cef6b014b2743b785c73

Observation 06f0b8b9-c824-407f-a76d-d8914c044676 · outbound

This paper cites Deep spatial-spectral global rea- soning network for hyperspectral image denoising.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Deep spatial-spectral global rea- soning network for hyperspectral image denoising

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.027067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:11049313ed6cd7b42f56df588b510f64e2e013c9a98223d63c080dbe62a4eaf9

Observation 5af57df0-69e9-49e2-9450-1b12f38874df · outbound

This paper cites Single hyperspectral image super-resolution with grouped deep recursive residual network.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Single hyperspectral image super-resolution with grouped deep recursive residual network

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.013088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:fb3050676d56704f7e56172de9f7b3a3a325480e03640466f8e34d5090f2ffa6

Observation 07a2c7c9-7cc6-41c6-869b-9b7b079b1bdf · outbound

This paper cites Hyperspectral image superresolution using spectrum and feature context.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image superresolution using spectrum and feature context

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.993524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:7e65052e9e96533ba579ecc3bbbac4db527a0848e340751bb777b23d7b11243e

Observation 0c7e51e5-5793-44b0-ad77-4ae4fb6ab799 · outbound

This paper cites Essaformer: Efficient transformer for hyperspectral image super- resolution.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Essaformer: Efficient transformer for hyperspectral image super- resolution

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.054791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:71a7cff1ca61129602676afbcce61ee149ca3f65bee6998007fcb9debcf17e7e

Observation 95c0c1b4-be8a-41c0-91c0-4c5a986f3e51 · outbound

This paper cites Hsr-diff: Hyperspectral image super-resolution via conditional diffusion models.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hsr-diff: Hyperspectral image super-resolution via conditional diffusion models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.980488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:e475961321c56353bf834ed4270295b3578da7f2b58a17763244056e30503d1a

Observation d78617d5-7bcb-4d41-a783-9984bbc5db14 · outbound

This paper cites Ispdiff: Interpretable scale- propelled diffusion model for hyperspectral image super-resolution.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Ispdiff: Interpretable scale- propelled diffusion model for hyperspectral image super-resolution

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.023593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:4cfa5896e0ed020cc8d065f9ad577ca670a6d32290e791f28bc156c5a816815e

Observation ded398a6-f9ea-4947-8cd7-46b82537fa03 · outbound

This paper cites Promptir: Prompting for all-in-one image restoration.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Promptir: Prompting for all-in-one image restoration

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.047177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:596dfbd9c6564841a9ff2db21a85ed491aa64f057e069eefd3a4e17d628f1c56

Observation f2e88049-dac0-48f3-ab82-6e726c74504e · outbound

This paper cites Classifier-Free Diffusion Guidance.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Classifier-Free Diffusion Guidance

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-03T00:07:27.650341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:f433a801de0d1434b6d7c3fe3fc4b4fe907190d47bf4f097012bdba1c56dc41f

Observation 4e2a50ee-c4ae-4484-bbf7-f271738d7322 · outbound

This paper cites Hir-diff: Unsupervised hyperspectral image restoration via improved diffusion models.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hir-diff: Unsupervised hyperspectral image restoration via improved diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.040047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:d45de098646af297d76555d9a2712fdf5f680f39410df685a4f37b5ca80b40ca

Observation a2faf298-dc32-4d5f-8311-55f4a67c78c2 · outbound

This paper cites Sdedit: guided image synthesis and editing with stochastic differential equations.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Sdedit: guided image synthesis and editing with stochastic differential equations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.983819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:4aeb9d2b8030585ab65a7cc566cecf9fe665d9944845b4676cdeaeddd78f6d01

Observation 60955c43-793f-4a72-adfe-ae2646d230b3 · outbound

This paper cites Billion-scale similarity search with gpus.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Billion-scale similarity search with gpus

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.990545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:9399487e4bbc49162194350e5a37df12ee0862886bcd28667b96b3b54fa1d99e

Observation b32309e1-752b-4130-bcc7-fc3b4eae65a0 · outbound

This paper cites High-quality hyperspectral reconstruction using a spectral prior.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation High-quality hyperspectral reconstruction using a spectral prior

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.076665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:624fe0c566177ca919c92e1580e654f2b99b04903d6acd5c7e0cf890f44fe70c

Observation 24618a00-8916-4d29-8ddd-36d7d24d47fc · outbound

This paper cites Available: http://dx.doi.org/10.1145/3130800.3130810.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Available: http://dx.doi.org/10.1145/3130800.3130810

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:27.521104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:8c60df1a507496b07740d4f1176183ad8d6850dbab283590cd36e9c4b05a20f9

Observation 9e912d06-34e1-461d-a007-edc0832afc6e · outbound

This paper cites Hyperspectral image denoising with realistic data.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image denoising with realistic data

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.094812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:6dfb1759d43abf88e03bafaafaf93494dd3f36f055ab4893e0e91a1c6629808f

Observation 726b2471-b41e-4a0e-8436-cd406ff2b06c · outbound

This paper cites A trainable spectral-spatial sparse coding model for hyperspectral image restora- tion.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation A trainable spectral-spatial sparse coding model for hyperspectral image restora- tion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.122578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:f41ee0153dc63dac053b1494e7e8df041585dab6860b85970a0e3fcbbdf371f2

Observation ad8c9f85-d8ab-4337-8f2c-115c07bb4599 · outbound

This paper cites Bidirectional 3d quasi-recurrent neural network for hyperspectral image super-resolution.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Bidirectional 3d quasi-recurrent neural network for hyperspectral image super-resolution

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.134232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:3e2d1edb901697dc80851d4cbc6d53ab004813712f69309c5df6eb84542c7482

Observation 6eacec4f-9e91-4cac-8cc6-9e5c47fcca95 · outbound

This paper cites Mixed 2d/3d convolutional network for hyperspectral image super-resolution.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Mixed 2d/3d convolutional network for hyperspectral image super-resolution

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:21.997260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:70f6da1327dd9393087b6c53d7488b85249027e73ab794a67d7b8deebc863595

Observation ff63345c-413a-4867-a7ee-a9eb0cf37061 · outbound

This paper cites Hyperspectral image restoration via total variation regularized low-rank tensor decomposition.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Hyperspectral image restoration via total variation regularized low-rank tensor decomposition

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:21:19.530414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:e0cb22f75418cb9614c9957abd7e039fb6475a2c2817a7e5e1c9d4ab9d9f3212

Observation 0b1043b2-1d51-421d-9798-91454c450327 · outbound

This paper cites Microsoft coco: Common objects in con- text.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Microsoft coco: Common objects in con- text

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:31:22.084645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:f63bedc8fba93168c1a3e2392ccd09512e30fd9edd7188f5aac3e39a4aaae682

Observation d61f4aac-9391-486d-acba-3c7ba4d39ef0 · outbound

This paper cites On the uniform convergence of relative frequencies of events to their probabilities.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation On the uniform convergence of relative frequencies of events to their probabilities

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:21:19.527783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:ac579b3e33f8ca7aee659dcd4e69273cc6bf59389847107221cc253f24324924

Observation cb04d549-5e56-473f-aa0a-d87d4021ea8f · outbound

This paper cites Shalev-Shwartz and S.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Shalev-Shwartz and S

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:21:19.519799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:78e096fd5a0236b2a527fe7a5d079eb4839d786bebcfca55bd5c449e74c20ef7

Observation ccc8de00-5066-4e10-8596-615e354e36e8 · outbound

This paper cites Mohri, A.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Mohri, A

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:21:19.521902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:eec71d99bdfe386e460247b7eb791006ef57b39c65be0124f064699f359afd66

Observation 1e08f607-6549-4af0-8916-eaf898aff338 · outbound

This paper cites Koltchinskii,Oracle inequalities in empirical risk minimization and sparse recovery problems: Ecole D’Et ´e de Probabilit ´es de Saint-Flour XXXVIII-2008.

HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generation Koltchinskii,Oracle inequalities in empirical risk minimization and sparse recovery problems: Ecole D’Et ´e de Probabilit ´es de Saint-Flour XXXVIII-2008

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T17:21:19.524563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-02T23:58:01.985415Z digest=sha256:5e31b905048a9cb3b3544a48a6f384eab28bcf92f8ffcf76bba2c172ce0803a0

Pith citing papers

No inbound Pith citation observations are available.