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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 2026-08-08T06:32:00.761636+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-07T13:50:12.033466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-07T13:50:11.011062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-07T13:50:10.507352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:49:59.776803Z digest=sha256:e20293d9488e19ce810b915399283ea948e771c72356a90434361e79e2ed8f7f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:49:59.902357Z digest=sha256:6597420cc201ff9a1e357971bd5775a44a5708fd89452bd0c8fc1895e94b8fca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.014754Z digest=sha256:bb8117f3e84b7aa5800c6c843e3dcadb1c78e5ee3a76eef269026410ea874ad0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.113133Z digest=sha256:54a9ddf9de388e92d7908b4e659ca405e62777077e82376e770d2120dd9ff754

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.219928Z digest=sha256:18aaa7afee21f7e526a7b4888c1f6d72e6e9b09afa588bdf5498ce219f8c1c6c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.303694Z digest=sha256:5dda7accec9e8caeb746ba2055447be4264711b6a92e5c2a4d678d993052f2fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.415041Z digest=sha256:1f08bd971441e752a183b39206f5294635f1e89dae0f8f2823560d722bc86b2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.540370Z digest=sha256:3a996948d6084bb412f91dbab2d570f1d9f04236f3dcf1e1a524ec2ad007fd2d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.662942Z digest=sha256:21c54dec9eb3e144f33f30670f000ab1d87ae844c51a751209065a105f4de12a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.780790Z digest=sha256:bfc4e32e52442f3201cfe81239edd4249f1a2b1d97a514ec9e70280c3f0c96fa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.876589Z digest=sha256:46aae2546f43b608402a5f67b8432ee64d9bd2debd3847d3f55e07d29c0e48e0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:00.974587Z digest=sha256:236739b02ccdaa838551ea5a043c9eef1928084c746fd0a7f99593fa59448d6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.099072Z digest=sha256:f78cca4e96efee5ac55890a794ef15868cf01f4d3b257c59cffc7991b375d9aa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.225705Z digest=sha256:29dec618e43868d09508e6f84553a83cfafbba3861867866cb4ccca09a3c7a18

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.342907Z digest=sha256:57c8b412a8fc882490ecc303d9f4d80af0fde8d5ccdc88983dfa8a3ea4aeeedf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.460479Z digest=sha256:83f8e286ecbec0e74785f523a0c52bbc021c9e2f2d84789676b0a1f15542f6a0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.547282Z digest=sha256:cc52e0acbe18688544b8aaa34ddcdaa8bb860a0458f8a320b30a4fbbf7565ba4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.655831Z digest=sha256:66c4b9c26530d30fc988a70744de90c95cf44fcd30a5d479a9cb326049f2ee59

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.765039Z digest=sha256:4c895d4ea2e11622f5c56afc04ffda25bc71973645ab95d27e2b0dee60ff6e2e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.837872Z digest=sha256:4a351b86bad08bdcb10c3cb451f38027ac52274e80bee49c77e330ff899927b9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.883143Z digest=sha256:5d1660ae85e74ff005b5bf12a99a36507cd65ab857ebb05a6efbfd01e3a6afb6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.913195Z digest=sha256:022ade30b9e0e946de750e5f4eb8801492e9e494061dbc27b8b8276433c0b1f2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:01.992649Z digest=sha256:9fca48b4460a9a0a6c3b1d1dfaaa482a30400e0b7c94688f4fe0bae2f7d24b68

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:50:02.143230Z digest=sha256:6fde3c494f19a2632c26f199ffbd29ed56dff3892c3e1688630606317464bf17

Pith citing papers

No inbound Pith citation observations are available.