Paper Citation Record · LEDGER

Towards LLM-guided Causal Explainability for Black-box Text Classifiers

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.13340.

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

pith.paper-citation-record.v1
2309.13340 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:52:55.148115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:51:04.710781Z

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 d6d07dc7-34f8-4fb8-803a-90de4b757caf · inbound

Explingo: Explaining AI Predictions using Large Language Models cites this paper.

Explingo: Explaining AI Predictions using Large Language Models Towards LLM-guided Causal Explainability for Black-box Text Classifiers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:52:55.148115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce425b91-2b7a-40fe-8fd8-04d587a09743 · inbound

Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education cites this paper.

Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education Towards LLM-guided Causal Explainability for Black-box Text Classifiers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T18:05:12.396891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 461d94f9-3d6e-43f1-8347-e20d49fcee1a · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents Towards LLM-guided Causal Explainability for Black-box Text Classifiers

Reference 5

Resolution: verified exact; orphan_title_repair, observed 2026-05-13T17:16:31.902846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e50cc7b-bda5-4e67-bd90-9355b18e240e · inbound

Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs cites this paper.

Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs Towards LLM-guided Causal Explainability for Black-box Text Classifiers

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:51:04.713693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.