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Paper Citation Record · LEDGER

A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.07434.

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

pith.paper-citation-record.v1
2002.07434 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 2026-08-06T22:43:46.090270Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:36:10.154540Z

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 4afe1379-a75d-4cec-85e8-42d8e2226bd5 · inbound

Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning cites this paper.

Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:46.090270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:46.090270Z digest=sha256:1de0684c071d1a291a3fec7684d375aa9965fbd4badc8dbc40190dbe3c86ca34

Observation be6a96f5-cae6-4ab5-931f-2408caf4c10d · inbound

MUPAX: Multidimensional Problem Agnostic eXplainable AI cites this paper.

MUPAX: Multidimensional Problem Agnostic eXplainable AI A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation

Reference 2017

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:36:10.219743Z

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=2026-08-06T16:36:09.851916Z digest=sha256:a93745907fb609a46d391e7167dce934f730195a6ac815b36f64e79460e60261