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Paper Citation Record · LEDGER

Nonparametric Linear Feature Learning in Regression Through Regularisation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.12754.

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

pith.paper-citation-record.v1
2307.12754 v4

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 2026-08-09T21:58:05.111683Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:44:30.087834Z

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 8be1156a-4d90-410f-804e-e268e97f1a08 · inbound

Meta-learning of shared linear representations beyond well-specified linear regression cites this paper.

Meta-learning of shared linear representations beyond well-specified linear regression Nonparametric Linear Feature Learning in Regression Through Regularisation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T21:58:05.111683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:58:05.111683Z digest=sha256:e07d4982a42713bf2c68cecf5a2ad7392d83eb6e8c7e438a7e6dc200f379f660

Observation e8362529-2c32-4ddc-8f44-2c2899e6cbb1 · inbound

Joint Learning in the Gaussian Single Index Model cites this paper.

Joint Learning in the Gaussian Single Index Model Nonparametric Linear Feature Learning in Regression Through Regularisation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:44:30.195528Z

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=pdf_text observed=2026-08-07T13:44:27.847317Z digest=sha256:b2378c054f694730f10fff2043ca6fb16a294bfa17ff33c33df8ae3d3c8cf233