Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
XAI for All: Can Large Language Models Simplify Explainable AI?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.13110.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:29:23.358235Z
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 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 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 2026-08-08T06:32:00.761636+00:00.