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Paper Citation Record · LEDGER

Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.10593.

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

pith.paper-citation-record.v1
2006.10593 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:13.942907Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:56.461002Z

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 d1137ed2-c6ea-4ef2-80e4-f16a012de840 · inbound

CoMMiT: Co-informed inference of microbiome-metabolome interactions via transfer learning cites this paper.

CoMMiT: Co-informed inference of microbiome-metabolome interactions via transfer learning Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:13.942907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:13.942907Z digest=sha256:4c151ebee71ab55b357e36f282e3eaf2092eb75d5783442f244ea12292c201da

Observation f3d1fcfc-c997-4025-8ee0-2f243693ba5a · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:56.462335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T04:41:41.370083Z digest=sha256:1472dfa7912290adca0ae278bf8e369c35460d5c578e1d6b167cda84036c551e