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Paper Citation Record · LEDGER

Evaluating Explanations Through LLMs: Beyond Traditional User Studies

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.17781.

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

pith.paper-citation-record.v1
2410.17781 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:11.736082Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:53:51.061487Z

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 2ae080d0-88a1-4746-954a-8365c11ee653 · inbound

Mechanistic understanding and validation of large AI models with SemanticLens cites this paper.

Mechanistic understanding and validation of large AI models with SemanticLens Evaluating Explanations Through LLMs: Beyond Traditional User Studies

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:11.736082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:11.736082Z digest=sha256:4558dd49a94800c454ec868b0d95824a2ed78b5992ab4b17d9aae5f29c02e165

Observation b271d8a3-d38d-4a7e-96f8-cb03975ea743 · inbound

Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour cites this paper.

Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour Evaluating Explanations Through LLMs: Beyond Traditional User Studies

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:37.751909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:37.751909Z digest=sha256:7bbcf4bd53298312ef94b1cbe5c8a6f58ddca0f525eb53d7aa53ca192afe7e0e

Observation f8e2539d-0306-4bd5-9c77-5fd0aec0bc16 · inbound

Quality Without Usefulness: LLM-Generated XAI Narratives as Trust Heuristics Rather Than Decision Aids cites this paper.

Quality Without Usefulness: LLM-Generated XAI Narratives as Trust Heuristics Rather Than Decision Aids Evaluating Explanations Through LLMs: Beyond Traditional User Studies

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:53:51.062910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T18:52:48.536429Z digest=sha256:dc2efc2f225aad3a130245f3c4bcaa4d76d016f698bb4dd45f4b742202fd8d8d