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Paper Citation Record · LEDGER

A Bayesian Lasso based Sparse Learning Model

As of 16 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:1908.07220.

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

pith.paper-citation-record.v1
1908.07220 v3

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:30:47.544669Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:33:48.121173Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T00:16:22.474752Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information.

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:c06e2a71494d5f5e2a6e7acf27202081f5ccc8ab96540c65dbb1104f0e6efabe

Observation f99b3b3c-cad6-4ad5-a22a-3bb0ce154cb0 · outbound

This paper cites J., Smola, A.

A Bayesian Lasso based Sparse Learning Model J., Smola, A

Reference 307

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:30:47.589322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:30:47.544669Z digest=sha256:f92d49291a632a6d2bd99586a6fb3433b6dd465e57d082a8754256e9aa266d8d

Observation f389058c-e630-4d4f-b50f-7fa44aca06ff · outbound

This paper cites & Casella, G.

A Bayesian Lasso based Sparse Learning Model & Casella, G

Reference 968

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:30:47.601520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:30:47.540731Z digest=sha256:a5c920fee9cabe102aee7210ac9b30bc65356905db20bebe73f3dc07f94a8702

Observation d1cde484-fc66-45ec-ac24-26937de8d114 · outbound

This paper cites an unresolved cited work.

A Bayesian Lasso based Sparse Learning Model Unresolved cited work

Reference 2346

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:30:47.614440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:30:47.536915Z digest=sha256:a150efdfe0547c588c32d6987c14ec819825d44296fb205081c6775ececb7b9d

Pith citing papers

Observation 6c15ed6d-4abd-4b22-b096-36dd0ba75622 · inbound

Proximal Iteration for Nonlinear Adaptive Lasso cites this paper.

Proximal Iteration for Nonlinear Adaptive Lasso A Bayesian Lasso based Sparse Learning Model

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:33:48.435680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T20:33:48.121173Z digest=sha256:d8efbf51c79c1a3e8fb250f114c4e816e82078913df51a98dca14bc27321d4a1