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Paper Citation Record · LEDGER

Feature Importance Ranking for Deep Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.08973.

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

pith.paper-citation-record.v1
2010.08973 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:29:43.740707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:46:06.721605Z

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 6a3bb499-7152-4894-a6ba-102dbac2973b · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Feature Importance Ranking for Deep Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:43.740707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:29:43.740707Z digest=sha256:e2237be749df682c1cfd73caf79fe1800e5e183742b2e243381814c0401252f7

Observation b1a54456-1551-4366-a34d-2aa705a13676 · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Feature Importance Ranking for Deep Learning

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:46:06.724420Z

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=arxiv_source observed=2026-05-09T15:09:03.417040Z digest=sha256:37086a0f39db352e155785bb2536148bcaa1873f433c4156eda98ed47a847ac5