Paper Citation Record · LEDGER

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing

As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2509.03376.

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

pith.paper-citation-record.v1
2509.03376 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:02:47.585214Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29564fe4-935d-4f0f-85ca-28de8a051cb1 · outbound

This paper cites SAAN: Similarity-aware attention flow network for change detection with vhr remote sensing images,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing SAAN: Similarity-aware attention flow network for change detection with vhr remote sensing images,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:50.915272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a789088f-4d1f-49cb-8d55-6eefd5533d01 · outbound

This paper cites A lithological classification model based on fourier neural operators and channel-wise self-attention,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing A lithological classification model based on fourier neural operators and channel-wise self-attention,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:50.697448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f9abaeb-631e-4648-a5d3-245b2dd5a6a5 · outbound

This paper cites Variational multiple-instance learning with embedding correlation modeling for hyperspectral target detection,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Variational multiple-instance learning with embedding correlation modeling for hyperspectral target detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:50.542517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5023150a-25a8-44b4-9f5c-869718a15265 · outbound

This paper cites Exploring the potential of enmap hyperspectral data for crop classification: Technique and performance evaluation,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Exploring the potential of enmap hyperspectral data for crop classification: Technique and performance evaluation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:50.369685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c38400b-b418-4af2-a881-4c8dffc06bb4 · outbound

This paper cites Generative ad- versarial autoencoder network for anti-shadow hyperspectral unmixing,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Generative ad- versarial autoencoder network for anti-shadow hyperspectral unmixing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:50.206340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ef1d3ae-8862-4766-946d-e71eda9c9a9c · outbound

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

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:49.997598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7268826f-6765-4c05-beb6-aefcfe4bbcdb · outbound

This paper cites Hyperspectral sparse unmixing based on dual-population cooperative optimization,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Hyperspectral sparse unmixing based on dual-population cooperative optimization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:49.716125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9bc23fc6-8a67-4d4c-96d1-8af1c816dade · outbound

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

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Vertex component analysis: A fast algorithm to unmix hyperspectral data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:49.405837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84a64af0-8212-44a2-8aaa-b60c7e45c091 · outbound

This paper cites Hy- perspectral unmixing based on nonnegative matrix factorization: A comprehensive review,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Hy- perspectral unmixing based on nonnegative matrix factorization: A comprehensive review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:49.101819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e2f6974-f20c-4dbd-ab08-86e19ee8e2bb · outbound

This paper cites Hyper- spectral unmixing using transformer network,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Hyper- spectral unmixing using transformer network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:48.818132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8de53d2f-06e0-4954-b48d-ace8c6f5e1cb · outbound

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

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing An abundance-guided attention network for hyperspectral unmixing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:48.643455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d87217b-d5f5-4b7a-a1c6-58a9e4f93181 · outbound

This paper cites A new dual-feature fu- sion network for enhanced hyperspectral unmixing,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing A new dual-feature fu- sion network for enhanced hyperspectral unmixing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:48.504197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 513f59f8-2d3f-48aa-821f-3d3d00ef9d7f · outbound

This paper cites SSAF-Net: A spatial-spectral adaptive fusion network for hyperspectral unmixing with endmember variability,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing SSAF-Net: A spatial-spectral adaptive fusion network for hyperspectral unmixing with endmember variability,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:48.331393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70597b0e-bc42-427f-8844-e4669f6f5aae · outbound

This paper cites Graph attention convolutional autoencoder-based unsupervised nonlinear unmixing for hyperspectral images,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Graph attention convolutional autoencoder-based unsupervised nonlinear unmixing for hyperspectral images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:48.168556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation edb7dbb7-b7c0-4b25-8d72-e45b3d44a0a8 · outbound

This paper cites Adaptive multi-order graph regularized nmf with dual sparsity for hyperspectral unmixing,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing Adaptive multi-order graph regularized nmf with dual sparsity for hyperspectral unmixing,

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T11:02:47.833330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31754b28-990f-4978-84c2-a0308d75cc6a · outbound

This paper cites A new minimum-volume enclosing algorithm for endmember identification and abundance estimation in hyperspectral data,.

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing A new minimum-volume enclosing algorithm for endmember identification and abundance estimation in hyperspectral data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:02:48.005798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.