Pith. sign in

Paper Citation Record · LEDGER

Adaptive Sieving with PPDNA: Generating Solution Paths of Exclusive Lasso Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.08719.

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

pith.paper-citation-record.v1
2009.08719 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 2026-08-16T11:39:46.723296Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T18:25:28.706404Z

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 a36ce4e2-38d7-4c16-b426-88d89970c3ee · inbound

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing cites this paper.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Adaptive Sieving with PPDNA: Generating Solution Paths of Exclusive Lasso Models

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T18:25:28.715240Z

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=pdf_text observed=2026-08-11T18:25:28.471954Z digest=sha256:2a9b3817697919bbd0979a3235e74841f447d6f5613fe306d8fac4ac4285dbae

Observation 17d3a493-ceea-4f17-aae6-6056c3dbe4a7 · inbound

Adaptive sieving with semismooth Newton proximal augmented Lagrangian algorithm for multi-task Lasso problems cites this paper.

Adaptive sieving with semismooth Newton proximal augmented Lagrangian algorithm for multi-task Lasso problems Adaptive Sieving with PPDNA: Generating Solution Paths of Exclusive Lasso Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:39:46.723296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:39:46.723296Z digest=sha256:e82e7e5483826bfe4fd4e5b5bcecd87554a6c3e5a2e4c780d4aab35afca3a1e3