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Paper Citation Record · LEDGER

Improved Iteration Complexities for Overconstrained $p$-Norm Regression

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.01848.

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

pith.paper-citation-record.v1
2111.01848 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:20.522094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:37:18.509306Z

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 4f83eca0-1b01-4a7c-afce-af30327d893d · inbound

A Geometric Approach to Problems in Optimization and Data Science cites this paper.

A Geometric Approach to Problems in Optimization and Data Science Improved Iteration Complexities for Overconstrained $p$-Norm Regression

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T11:17:20.522094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:17:20.522094Z digest=sha256:dadbcee121c036b3cf80e80800bd7b9e4c897e6b3f935014452ab0874afe6db0

Observation fcd3a388-20a0-46a8-8cc7-26fe069bf1f5 · inbound

Distributionally Robust Linear Regression With Block Lewis Weights cites this paper.

Distributionally Robust Linear Regression With Block Lewis Weights Improved Iteration Complexities for Overconstrained $p$-Norm Regression

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:37:18.510805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T19:29:59.464383Z digest=sha256:e95ee98eab21d6619cf8e9800fe754a79a9e26215680a88de59a016bf404d855