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Paper Citation Record · LEDGER

A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.15346.

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

pith.paper-citation-record.v1
2007.15346 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:16:05.528758Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:26:00.822278Z

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 39a1493a-52de-43c5-9891-15a848cf7b3e · inbound

High-dimensional Newey-Powell Test Via Approximate Message Passing cites this paper.

High-dimensional Newey-Powell Test Via Approximate Message Passing A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:26:00.828912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-24T05:25:26.686280Z digest=sha256:42384fc7d404bf843e25195642f4b1c81a5e5419c4055d36b076652bd67c8824

Observation 3484e5c6-17a5-4457-a2f8-1c6ae62b6061 · inbound

Compute-Optimal Scaling for Value-Based Deep RL cites this paper.

Compute-Optimal Scaling for Value-Based Deep RL A Power Analysis for Model-X Knockoffs with $\ell_{p}$-Regularized Statistics

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-05T18:16:05.528758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:16:05.528758Z digest=sha256:49e11b97f406191bf504cb0c7224622e89048502bde203258e35d6ab0dae83fe