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Paper Citation Record · LEDGER

DeepPINK: reproducible feature selection in deep neural networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.01185.

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

pith.paper-citation-record.v1
1809.01185 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:38.679274Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:41:07.971291Z

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 4adbcfa7-6c52-43be-8102-aa14bbc8d5e9 · inbound

Are machine learning interpretations reliable? A stability study on global interpretations cites this paper.

Are machine learning interpretations reliable? A stability study on global interpretations DeepPINK: reproducible feature selection in deep neural networks

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:38.679274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:38.679274Z digest=sha256:ba340bb334933405199ff9e9d21b11570276b972c2eef1145308de809bc6a6a9

Observation 7603634e-be21-4d94-acdc-606dc8959ceb · inbound

Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP cites this paper.

Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP DeepPINK: reproducible feature selection in deep neural networks

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:41:08.061334Z

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=2026-08-06T00:41:04.256401Z digest=sha256:f23babc18f394773ab6f3817f7688899310950cb8effb1f4ce7304b60988a448