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Paper Citation Record · LEDGER

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.20902.

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

pith.paper-citation-record.v1
2505.20902 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:50:02.143230Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2bab338-eac0-4f7a-91e1-e08de65ed193 · outbound

This paper cites Spectral-spatial latent reconstruction for open-set hyperspectral image classification,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Spectral-spatial latent reconstruction for open-set hyperspectral image classification,

Reference 1

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Observation 44f67052-4207-4473-b193-13f73f9d7c5f · outbound

This paper cites Dual-stage approach toward hyperspectral image super-resolution,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Dual-stage approach toward hyperspectral image super-resolution,

Reference 2

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Observation ae86ee11-cb0d-445c-b36a-612841ecc063 · outbound

This paper cites Binary change guided hy- perspectral multiclass change detection,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Binary change guided hy- perspectral multiclass change detection,

Reference 3

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Source-reported events for the cited work

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Observation db6c70e4-46e7-418c-8244-6ee85064990f · outbound

This paper cites Few-shot learning with mutual information enhancement for hyperspectral image classification,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Few-shot learning with mutual information enhancement for hyperspectral image classification,

Reference 4

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Source-reported events for the cited work

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Observation 4c2c66fe-a7df-4f4d-bf04-09cb98a0282d · outbound

This paper cites Rotation-invariant attention network for hyperspectral image classification,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Rotation-invariant attention network for hyperspectral image classification,

Reference 5

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Observation 2378ec25-044a-4b54-b40f-e189cc34aecc · outbound

This paper cites Target-constrained interference-minimized band selection for hyper- spectraltarget detection,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Target-constrained interference-minimized band selection for hyper- spectraltarget detection,

Reference 6

Resolution
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Observation c70e71c8-7def-4ff4-986d-d7bfb67536d5 · outbound

This paper cites Cascade superpixel regularized gabor feature fusion for hyperspectral image classification,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Cascade superpixel regularized gabor feature fusion for hyperspectral image classification,

Reference 7

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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 2026-08-07T06:34:17.273281+00:00.

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Observation 55cece78-7134-4dd6-9f00-d2597c413356 · outbound

This paper cites Fusing hyperspectral and multispectral images via coupled sparse tensor factorization,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Fusing hyperspectral and multispectral images via coupled sparse tensor factorization,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d4bd3b1c-26e6-481a-847a-933ba6abf7be · outbound

This paper cites Coded hyperspectral image reconstruction using deep external and internal learning,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Coded hyperspectral image reconstruction using deep external and internal learning,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 89a7c611-4a8c-46bb-ad57-acbd58479c3f · outbound

This paper cites Fully tensorized lightweight convlstm neural networks for hyperspectral image classifi- cation,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Fully tensorized lightweight convlstm neural networks for hyperspectral image classifi- cation,

Reference 10

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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 2026-08-07T06:34:17.273281+00:00.

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Observation 923d53d3-e380-43c9-b227-4511057d227c · outbound

This paper cites Vertex component analysis: a fast algorithm to unmix hyperspectral data,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Vertex component analysis: a fast algorithm to unmix hyperspectral data,

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d6eb5077-98cf-4cc6-9e58-156336f18d76 · outbound

This paper cites Hyperspectral blind unmixing using a double deep image prior,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Hyperspectral blind unmixing using a double deep image prior,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2a3bfc0d-c7c5-401a-8469-ff44b1e84ca6 · outbound

This paper cites Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches,

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 2026-08-07T06:34:17.273281+00:00.

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Observation af476fde-e047-4428-88f0-711845483331 · outbound

This paper cites An abundance-guided attention network for hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing An abundance-guided attention network for hyperspectral unmixing,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cff23aa0-c3e5-49d8-bd65-751cc9d72bec · outbound

This paper cites Nonlinear unmixing of hyperspectral images using a generalized bilinear model,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Nonlinear unmixing of hyperspectral images using a generalized bilinear model,

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 2026-08-07T06:34:17.273281+00:00.

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Observation baeb32e5-4d82-45c8-b33c-3ce72942f9e9 · outbound

This paper cites Nonlinear spectral unmixing using b zier surfaces,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Nonlinear spectral unmixing using b zier surfaces,

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 2026-08-07T06:34:17.273281+00:00.

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Observation 452ea931-f00f-40a5-a660-6addf203afbb · outbound

This paper cites Blind spectral unmixing based on sparse nonnegative matrix factorization,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Blind spectral unmixing based on sparse nonnegative matrix factorization,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7dbc0f2d-5c5a-4f48-ada5-0d5c08792770 · outbound

This paper cites A plug-and-play priors framework for hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing A plug-and-play priors framework for hyperspectral unmixing,

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 2026-08-07T06:34:17.273281+00:00.

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Observation 77b23bb7-6521-4272-9007-cd0fe0787a8a · outbound

This paper cites Simultaneously multiob- jective sparse unmixing and library pruning for hyperspectral imagery,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Simultaneously multiob- jective sparse unmixing and library pruning for hyperspectral imagery,

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 2026-08-07T06:34:17.273281+00:00.

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Observation d5fbf049-aec3-451c-91b9-576d439369b2 · outbound

This paper cites A novel NMF guided for hyper- U A IEEE TRANSACTIONS ON IMAGE PROCESSING 11 spectral unmixing from incomplete and noisy data,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing A novel NMF guided for hyper- U A IEEE TRANSACTIONS ON IMAGE PROCESSING 11 spectral unmixing from incomplete and noisy data,

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 2026-08-07T06:34:17.273281+00:00.

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Observation 56c21f55-895b-4d38-b5a2-a1b61d3f6f1d · outbound

This paper cites Superpixel-based reweighted low-rank and total variation sparse unmixing for hyperspec- tral remote sensing imagery,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Superpixel-based reweighted low-rank and total variation sparse unmixing for hyperspec- tral remote sensing imagery,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 77f9cc0a-4fe2-43fa-b70d-a76e2ddbd4f6 · outbound

This paper cites Spectral variability aware blind hyperspectral image unmixing based on convex geometry,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Spectral variability aware blind hyperspectral image unmixing based on convex geometry,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:10.317549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 03408d84-d5b7-4253-9bb6-828fdd1b0b73 · outbound

This paper cites MAHUM: A multitasks autoencoder hyperspectral unmixing model,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing MAHUM: A multitasks autoencoder hyperspectral unmixing model,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:10.161710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0252c00f-c5a8-4daa-bd99-b966881e5a7c · outbound

This paper cites Dynamical spectral unmixing of multitemporal hyperspectral images,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Dynamical spectral unmixing of multitemporal hyperspectral images,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:09.942306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b15e2afe-2ace-4fd3-a914-ceb91b1fbfbc · outbound

This paper cites Sparse distributed multitemporal hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Sparse distributed multitemporal hyperspectral unmixing,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:09.785970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 55b5e0c4-9e56-4591-9998-13c1cd80e787 · outbound

This paper cites A dynamic unmixing framework for plant production system monitoring,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing A dynamic unmixing framework for plant production system monitoring,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:09.573139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5a2aed48-9600-4668-9212-f48f3f980d28 · outbound

This paper cites Multisensor coupled spectral unmixing for time-series analysis,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Multisensor coupled spectral unmixing for time-series analysis,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:09.367668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f219f396-9303-432b-b30d-9dadc67982b3 · outbound

This paper cites Monitoring tropical forest degradation using spectral unmixing and landsat time series analysis,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Monitoring tropical forest degradation using spectral unmixing and landsat time series analysis,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:09.189042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1fe1178f-7006-4b49-83b6-5d44e5130566 · outbound

This paper cites Online unmixing of multitemporal hyperspectral images accounting for spectral variability,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Online unmixing of multitemporal hyperspectral images accounting for spectral variability,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:09.022395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cbcf0afd-28d9-4ffe-ad2b-db5f8e236a87 · outbound

This paper cites Learning end- member dynamics in multitemporal hyperspectral data using a state- space model formulation,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Learning end- member dynamics in multitemporal hyperspectral data using a state- space model formulation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:08.825427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0d8162f8-9dae-47e3-a43d-f91c4d71c22c · outbound

This paper cites Kalman filtering and expectation maximization for multitemporal spec- tral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Kalman filtering and expectation maximization for multitemporal spec- tral unmixing,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:08.494457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:49:59.902357Z digest=sha256:217f44409e876a43e08fa4d96e86a814eda2dfe54ac5c192079f212493e0ab34

Observation ebd209b1-4de6-45ab-a121-cd663206470e · outbound

This paper cites Bayesian unmixing of hyperspectral image sequence with composite priors for abundance and endmember variability,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Bayesian unmixing of hyperspectral image sequence with composite priors for abundance and endmember variability,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:08.176457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.014754Z digest=sha256:f05fbf3783e67581f86906c8109993577ecdfdb6519133bb94e2159b28f3b26e

Observation 497a8d15-55a2-49a8-8822-40002daa8469 · outbound

This paper cites Dynamical hyperspectral unmixing with variational recurrent neural networks,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Dynamical hyperspectral unmixing with variational recurrent neural networks,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:07.878031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.113133Z digest=sha256:61199395ab51069a3cf6c789f53531f3df57a77f98f023e1ddac63574f215de5

Observation f1ee5c59-d4cd-4348-9e3d-06c47aed9a73 · outbound

This paper cites Spatio-temporal spec- tral unmixing of time-series images,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Spatio-temporal spec- tral unmixing of time-series images,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:07.591325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.219928Z digest=sha256:182bad0e89a80ca81050f9eaa89272b4b7277665d5731e218f3133871b64a6d7

Observation dcc1c651-81ce-4294-9b3a-4d0a6fb24963 · outbound

This paper cites Transformer for Multitemporal Hyperspectral Image Unmixing.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Transformer for Multitemporal Hyperspectral Image Unmixing

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:50:02.481936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.303694Z digest=sha256:df10872efe239116151514c917a734a46fecfc1a03fcf7fca183f92d2be40a09

Observation 4d547142-f177-4419-84e2-e016fe527b40 · outbound

This paper cites DAEN: Deep autoencoder networks for hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing DAEN: Deep autoencoder networks for hyperspectral unmixing,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:07.279885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.415041Z digest=sha256:4eb54dc65b49658aac44c21a55abef04c82d73b91800474bd212f3764cfcb5cf

Observation 4cd712c3-1442-4782-84e1-1a6bbe67e39f · outbound

This paper cites Convolutional autoen- coder for spectral–spatial hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Convolutional autoen- coder for spectral–spatial hyperspectral unmixing,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:07.001217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.540370Z digest=sha256:9a8a7d2302c5a4fc1f24874201eed015898ea1abdc41ca5b8f110dc9faee38cd

Observation d45eaecb-f7b6-4c0e-b133-86a0ed41affd · outbound

This paper cites Endmember-guided unmixing network (EGU-Net): A gen- eral deep learning framework for self-supervised hyperspectral unmix- ing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Endmember-guided unmixing network (EGU-Net): A gen- eral deep learning framework for self-supervised hyperspectral unmix- ing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:06.605237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.662942Z digest=sha256:9adcec759e522f50d9d1987272e8a5c33381c063c293e38b8eb70139fb33e1d1

Observation b7354c5a-d12c-44e1-b904-b09057aed0bf · outbound

This paper cites Adversarial autoencoder network for hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Adversarial autoencoder network for hyperspectral unmixing,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:06.269931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.780790Z digest=sha256:eb26bb24b1797a2c37aca6fae9392e8a42449144c2cebc4208c7cf79f4431cbe

Observation 741e40ca-43b5-42ac-b6f9-16cddd0c6316 · outbound

This paper cites uDAS: An untied denoising autoencoder with sparsity for spectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing uDAS: An untied denoising autoencoder with sparsity for spectral unmixing,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:05.894034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.876589Z digest=sha256:e46032b2cfe6f47cb029f9b22f8e5d87e8bbf4fc5f557befe559c5eedc7389b4

Observation 39c6b98f-36e3-47b4-a3f6-d6ab1d019edb · outbound

This paper cites EndNet: Sparse autoencoder network for endmember extraction and hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing EndNet: Sparse autoencoder network for endmember extraction and hyperspectral unmixing,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:05.582082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:00.974587Z digest=sha256:f6653ec0ee1bf23b8ec9298b7624b300231ddd6576681059b432721b22a5b660

Observation 8892a0df-10b2-454c-93dd-f65dbd28f5fa · outbound

This paper cites CyCU- Net: Cycle-consistency unmixing network by learning cascaded autoen- coders,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing CyCU- Net: Cycle-consistency unmixing network by learning cascaded autoen- coders,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:05.329244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.099072Z digest=sha256:5521d26f7a3253731f0d5d9a164c8a66807a3b4eccbda804e2f182f924d2c779

Observation 598a2de1-8395-4cb2-92d8-1fcb23c54f6b · outbound

This paper cites Neu- ral ordinary differential equations,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Neu- ral ordinary differential equations,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:05.075117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.225705Z digest=sha256:cc226dbf11c317492f3c950197dc0a7d684f2d81bc6648a28fc455ee1b2647e0

Observation 175afae7-966f-40d4-a02c-cbb498d0a8d4 · outbound

This paper cites Latent ordinary differential equations for irregularly-sampled time series,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Latent ordinary differential equations for irregularly-sampled time series,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:04.840427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.342907Z digest=sha256:720c9a32d8ff060189d326095495d943314e8901f27465b1d7c2bb767e02f680

Observation c9694462-b852-439b-a8d0-d73236eb43c5 · outbound

This paper cites Neural controlled differential equations for irregular time series,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Neural controlled differential equations for irregular time series,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:04.573244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.460479Z digest=sha256:3c00b0b1158765790410811846fc80d183395028c60111607b9d74a9f2364d56

Observation 90e0bbc3-9a3c-488b-aa42-2fc00e2654e9 · outbound

This paper cites Neural Lad: Aneural latent dynamics framework for times series modeling,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Neural Lad: Aneural latent dynamics framework for times series modeling,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:04.434266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.547282Z digest=sha256:0772f80c4584ba5d9f0df5481bad7168517508249119a09c96760f58b42c5b8a

Observation e9df9187-37c7-4b61-ac05-2ee62e1a130f · outbound

This paper cites Unsupervised unmixing of hyperspectral images accounting for endmember variability,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Unsupervised unmixing of hyperspectral images accounting for endmember variability,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:04.261502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.655831Z digest=sha256:4ea024312227c668b408e80e723620b5c26f69f23041600d091651e85179bd9d

Observation 57251ee5-8c77-4f0d-8160-e0870b928002 · outbound

This paper cites Hyperspectral unmixing with spectral variability using a perturbed linear mixing model,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Hyperspectral unmixing with spectral variability using a perturbed linear mixing model,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:04.074502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.765039Z digest=sha256:7c271815deb09c979bfacfe1a3bbb06b8c7f1d077bdc9607b287ae8f1788c823

Observation d08b8d7d-aa78-4998-a484-081e85ae989c · outbound

This paper cites Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:03.925827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.837872Z digest=sha256:1e8a72f7e978c904741a1f11e4afb94a44005f7a6588b8efff65ce410a5a1153

Observation 0ef35e16-a6db-4931-862a-98d275d831cb · outbound

This paper cites An augmented linear mixing model to address spectral variability for hyperspectral unmixing,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing An augmented linear mixing model to address spectral variability for hyperspectral unmixing,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:03.687849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.883143Z digest=sha256:f034ccea5e3452a5286617629ca1c5dbdeb90859b029102fa3ae98e9a86b226e

Observation f2d50f70-f6ef-4628-a4db-0b50cf3b73a6 · outbound

This paper cites Hyperspectral un- mixing with endmember variability via alternating angle minimization,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing Hyperspectral un- mixing with endmember variability via alternating angle minimization,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:03.575329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.913195Z digest=sha256:1ab5577d21a9fb4032d864cdff75cf14bebcb3e01ae562d2aebd41b4c0a9826c

Observation a34ed583-7647-40e8-b9b4-ba675d199b2a · outbound

This paper cites A new admm- based hyperspectral unmixing algorithm associated with a linear mixing model addressing spectral variability with a multiplicative structure,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing A new admm- based hyperspectral unmixing algorithm associated with a linear mixing model addressing spectral variability with a multiplicative structure,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:03.154976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:01.992649Z digest=sha256:6ba7d6ec40db3aff74e4874d27cf5671c4ddd32ab9efca00d7e04edea0d1df20

Observation 2693981e-c69f-41c9-bd11-659f8f83a219 · outbound

This paper cites On the convergence, consistency and stability of a one-step method for numerical integration of ordinary differential equation,.

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing On the convergence, consistency and stability of a one-step method for numerical integration of ordinary differential equation,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:50:02.857441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T13:50:02.143230Z digest=sha256:23a08b81dbdf9f42c18070381d8fb59c5867e4ce062eaf9e8ae18a3cbd80205a

Pith citing papers

No inbound Pith citation observations are available.