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Paper Citation Record · LEDGER

Robust Partial Least Squares Using Low Rank and Sparse Decomposition

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.06936.

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

pith.paper-citation-record.v1
2407.06936 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T20:15:46.454806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:01:03.158352Z

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 056d45ed-19df-4084-a009-46f2feb4363a · inbound

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning cites this paper.

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning Robust Partial Least Squares Using Low Rank and Sparse Decomposition

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:05:48.400394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T20:15:46.454806Z digest=sha256:bce2bccaa1146b61b786085e5d0111fb62c86c97d2e6a6cfe219d3d5e023dccb

Observation af093f1b-b2fc-4703-8666-11d1b82d21d0 · inbound

Comparative Analysis of Large Language Models in Healthcare cites this paper.

Comparative Analysis of Large Language Models in Healthcare Robust Partial Least Squares Using Low Rank and Sparse Decomposition

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:16:07.875714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:33:59.591966Z digest=sha256:6fd522348ebc061d8aa178179199e55fe2f9527e7a45b7de7d585012d3fd3d28

Observation e0d70aec-9a32-4461-a82e-fd23a855f2b4 · inbound

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management cites this paper.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Robust Partial Least Squares Using Low Rank and Sparse Decomposition

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:03.165507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:14:04.838666Z digest=sha256:870a4401c46f0f173798eba92acc5887a4f3cedae32dd4ceeeda302861629660