Paper Citation Record · LEDGER

Prompting Large Language Models for Counterfactual Generation: An Empirical Study

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.14791.

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

pith.paper-citation-record.v1
2305.14791 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:08:17.752326Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:45:53.591816Z

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 98c03554-aac8-46ef-bed2-15a30a57e50a · inbound

Efficient Causal Graph Discovery Using Large Language Models cites this paper.

Efficient Causal Graph Discovery Using Large Language Models Prompting Large Language Models for Counterfactual Generation: An Empirical Study

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T04:25:28.690550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d90b2d7-75ef-4a47-b8de-9f1d84e48304 · inbound

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification cites this paper.

PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification Prompting Large Language Models for Counterfactual Generation: An Empirical Study

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:17.752326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ac5fc2-8473-4b29-aacf-c5f9ca45eed6 · inbound

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models cites this paper.

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models Prompting Large Language Models for Counterfactual Generation: An Empirical Study

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:29:44.295312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf3a6445-8616-4562-afc7-066519138280 · inbound

Blockchain and AI: Securing Intelligent Networks for the Future cites this paper.

Blockchain and AI: Securing Intelligent Networks for the Future Prompting Large Language Models for Counterfactual Generation: An Empirical Study

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:53.596811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.