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Paper Citation Record · LEDGER

Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.10765.

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

pith.paper-citation-record.v1
1809.10765 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:58:20.357047Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:16:06.262276Z

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 072990f4-7d05-4765-aeb1-0fd3c5c074a4 · inbound

Where to Intervene: Action Selection in Deep Reinforcement Learning cites this paper.

Where to Intervene: Action Selection in Deep Reinforcement Learning Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:20.357047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:58:20.357047Z digest=sha256:0c53ab1a4763550734523fe93ff966dac7a72b45cfd45e550aa8344fc0900f2a

Observation a5aba586-eb82-4c99-acf9-2cd645148e6d · inbound

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

Compute-Optimal Scaling for Value-Based Deep RL Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:16:06.368355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:16:05.030866Z digest=sha256:e8028ef8466d11152ee6fd8572fc745769a81fa56e871463fc438b0b37ce5a61