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Paper Citation Record · LEDGER

Why model why? Assessing the strengths and limitations of LIME

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.00093.

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

pith.paper-citation-record.v1
2012.00093 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:20.932081Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T21:20:05.574177Z

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 68f56159-7f68-4cf8-9698-89d985b40485 · inbound

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security cites this paper.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Why model why? Assessing the strengths and limitations of LIME

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T20:40:04.582915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:04.582915Z digest=sha256:8571a6b22274050fdd34dfe95613a381880abfca7d53f9951f7e119bbe0b643e

Observation b2d15e9d-1cd3-4015-b484-4de2ef736517 · inbound

Enhancing IoT Network Security through Adaptive Curriculum Learning and XAI cites this paper.

Enhancing IoT Network Security through Adaptive Curriculum Learning and XAI Why model why? Assessing the strengths and limitations of LIME

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:45.888822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:06:45.888822Z digest=sha256:fbce9e6a9baae5f0e347ab816c44cbc506f5ce15b0c33cdd37d976e6ee5d016c

Observation 8faec45e-649b-475f-b476-4f94a75a836f · inbound

Coherent Local Explanations for Mathematical Optimization cites this paper.

Coherent Local Explanations for Mathematical Optimization Why model why? Assessing the strengths and limitations of LIME

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:20:05.578821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T21:20:04.524164Z digest=sha256:467114feb0765a8247e42a3a1ea7ea564d1d8fba414cb5b369bfc3f1701cfc80

Observation fd7b5600-bb18-4482-b41e-83e473c6d388 · inbound

Integrating Explainable AI for Energy Efficient Open Radio Access Networks cites this paper.

Integrating Explainable AI for Energy Efficient Open Radio Access Networks Why model why? Assessing the strengths and limitations of LIME

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:20.932081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:28:20.932081Z digest=sha256:2cb7ea8c79a2bdd4257f2b5378da6fe20c4eb837ecdca47e54530cc4b58e0379

Observation 1f27a42d-dc9b-44c8-881d-e2d2b02981d1 · inbound

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics cites this paper.

Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Why model why? Assessing the strengths and limitations of LIME

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T22:09:19.204583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:09:19.204583Z digest=sha256:1c45afdf1fa7c0e80a0e3aca292bcb6a31c22c0abe04e8ebfac863f28d692834

Observation 9318f804-99f0-4402-b1e4-56ee56b883a7 · inbound

Against Explainable Artificial Intelligence In Law: Why Justifiable Ai Matters. A Credit Scoring Example cites this paper.

Against Explainable Artificial Intelligence In Law: Why Justifiable Ai Matters. A Credit Scoring Example Why model why? Assessing the strengths and limitations of LIME

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T04:28:41.451839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:28:41.451839Z digest=sha256:97126ea28236cb2d2ca399adc9791f9d4dea37b1a8443dfedfeb2c4ba70730fd