Paper Citation Record · LEDGER

XAI for All: Can Large Language Models Simplify Explainable AI?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.13110.

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

pith.paper-citation-record.v1
2401.13110 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:47:16.614537Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:47:43.812886Z

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 c494bd14-12ff-44ea-bf7a-ccfef161aef1 · inbound

iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop cites this paper.

iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T13:55:38.880180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 295d5137-95a3-448f-98dc-562f72609a8e · inbound

Composable Building Blocks for Controllable and Transparent Interactive AI Systems cites this paper.

Composable Building Blocks for Controllable and Transparent Interactive AI Systems XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:23.358235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da7ee07-944b-4a04-b67e-bbead82c8421 · inbound

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI cites this paper.

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T01:02:18.331055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5487ae0-6855-4938-9a61-0f25bd6072c1 · inbound

Towards Transparent AI: A Survey on Explainable Large Language Models cites this paper.

Towards Transparent AI: A Survey on Explainable Large Language Models XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:41.465967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ac9f953-1090-4746-b8cd-dfcfc9bba812 · inbound

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs cites this paper.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:16.614537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc9aa147-d8b8-47d3-b4c6-669d4e9e2da9 · inbound

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework cites this paper.

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:22.987092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32cba46-10b8-4297-9486-2cdab9b4edc9 · inbound

From Quality Properties to Practice: A Guideline and Workflow for Explainability Requirements cites this paper.

From Quality Properties to Practice: A Guideline and Workflow for Explainability Requirements XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:47:43.814376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 250849f2-96eb-4453-95a9-e665900ca45d · inbound

Accurate Ensembles, Fragile Narratives: Multi-Scale Stacking and a Fidelity Audit of LLM-Generated Explanations for Credit Risk cites this paper.

Accurate Ensembles, Fragile Narratives: Multi-Scale Stacking and a Fidelity Audit of LLM-Generated Explanations for Credit Risk XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T00:27:36.464497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.