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Paper Citation Record · LEDGER

Decoding by Linear Programming

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:math/0502327.

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

pith.paper-citation-record.v1
math/0502327 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:29:06.748205Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T19:36:18.590051Z

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 3c58de8a-9c76-4fb4-9e9e-9049e0ee82a0 · inbound

A Survey on Compressive Sensing: Classical Results and Recent Advancements cites this paper.

A Survey on Compressive Sensing: Classical Results and Recent Advancements Decoding by Linear Programming

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T15:29:06.748205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:29:06.748205Z digest=sha256:8bf3b72826af245f51ecadf336976ed64867a4af107fa4bc40c458c2a7831114

Observation f9a38e62-7f78-450e-8323-4f08daaf98fc · inbound

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

Sparse Gradient Compression for Fine-Tuning Large Language Models Decoding by Linear Programming

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-09T19:36:18.594504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T19:36:17.742313Z digest=sha256:1cb02ba3c29cd00071f828d35c23ba94748b158d7c61192ee5db576385853a5d