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Paper Citation Record · LEDGER

Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:math/0409186.

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

pith.paper-citation-record.v1
math/0409186 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:25:03.703349Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T18:27:06.354168Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3f1b1fd2-45c9-4df0-910f-717912327a65 · inbound

Re-Weighted $\ell_1$ Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights cites this paper.

Re-Weighted $\ell_1$ Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T18:27:06.356695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-25T18:26:29.563813Z digest=sha256:2d75fecca73e74336124f1e46d8b28e8ae576be2bc0bd10f695c0ffe95396953

Observation 65ba9e5d-6fa2-4964-81a1-87dc5f2b800b · inbound

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data cites this paper.

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T13:25:03.703349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:25:03.703349Z digest=sha256:1f282b2c8cde72b4965d19cebeed6ea6cc462017bcd4dd66e6caf290b1cbd5aa

Observation 3f849301-10b5-4250-a460-721ae2093629 · inbound

Sparse Representation Based Efficient Radiation Symmetry Analysis Method for Cylindrical Model of Inertial Confinement Fusion cites this paper.

Sparse Representation Based Efficient Radiation Symmetry Analysis Method for Cylindrical Model of Inertial Confinement Fusion Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:38.028695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:38.028695Z digest=sha256:29d3957d0b558570d360d1261215fc09662151e0204190b83af2afcb18f37c7f

Observation a9736fed-402b-4045-8be7-b5a3803dcf94 · inbound

A Bayesian Lasso based Sparse Learning Model cites this paper.

A Bayesian Lasso based Sparse Learning Model Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T12:30:47.531785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:30:47.531785Z digest=sha256:2f74bb096acf0ab026f578b8a0fdd4733bfe03f585b2d595cf4ea2d9839baf55

Observation f0270873-4c13-4bb8-a157-054fede2c862 · inbound

Sparse Gradient Compression for Fine-Tuning Large Language Models cites this paper.

Sparse Gradient Compression for Fine-Tuning Large Language Models Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T19:36:17.746061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:36:17.746061Z digest=sha256:8e97fb7b1509c4e3e285f24b2e233d7c419f36b95f453e86a55b1814da9ab3d8

Observation c6173468-9be9-4e73-9345-5c27426217f2 · inbound

Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention cites this paper.

Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T15:10:54.561366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:10:54.561366Z digest=sha256:56b3eb26a1da9c8bd132fa7970673eaecc1f02fa99cee6ea18a5c53da1d3434d