Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompting Large Language Models for Counterfactual Generation: An Empirical Study
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.14791.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:52:04.479688Z
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 2026-08-13T06:32:02.005865+00:00.
Observation 00c9f8cd-e8d5-4e8c-afd9-1c9cbec5042c · inbound
Political-LLM: Large Language Models in Political Science cites this paper.
Political-LLM: Large Language Models in Political Science Prompting Large Language Models for Counterfactual Generation: An Empirical Study
Reference 160
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:52:04.479688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-13T06:32:02.005865+00:00.