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Paper Citation Record · LEDGER

Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.19550.

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

pith.paper-citation-record.v1
2406.19550 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:59:57.163392Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3e2c86f9-2d9d-4e8a-b834-25c57e76734b · inbound

CLT in high-dimensional Bayesian linear regression with low SNR cites this paper.

CLT in high-dimensional Bayesian linear regression with low SNR Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:57.163392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:59:57.163392Z digest=sha256:4062555462be32775cf35d51e53be2431529b35cf5a7f7f70cd2aed8354b9384

Observation 871c7734-16b4-4d41-b8d4-d9d9460a0578 · inbound

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling cites this paper.

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition

Reference 154

Resolution
metadata mismatch
local_arxiv, observed 2026-08-01T00:31:09.366438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-01T00:25:54.816392Z digest=sha256:5e8ae372915bae441715dc30edd3b254c842c93a4d8ededf66005cd0dfea3d6f