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Paper Citation Record · LEDGER

High-Dimensional Linear Regression via Implicit Regularization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.09367.

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

pith.paper-citation-record.v1
1903.09367 v2

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:37:44.193569Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T18:37:44.408117Z

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 60f665ee-ed04-4b7d-b920-10d3765756c7 · inbound

Implicit Regularization for Multi-label Feature Selection cites this paper.

Implicit Regularization for Multi-label Feature Selection High-Dimensional Linear Regression via Implicit Regularization

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:37:44.416297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T18:37:44.193569Z digest=sha256:bbe0583449d47ad809a1e1e20a33ffb75a85dce2315485165973d77821b607dc

Observation 5b1f15ee-eada-442a-a45c-4c8a7a7e9f36 · inbound

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration cites this paper.

Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration High-Dimensional Linear Regression via Implicit Regularization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T04:33:59.805701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:33:59.805701Z digest=sha256:f20f6c34179dcbf6bfc2fcf23f1eecfdc6e33a04edcd5bc86cb7e4aff637ef6b