Paper Citation Record · LEDGER

How Interpretable are Reasoning Explanations from Prompting Large Language Models?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.11863.

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

pith.paper-citation-record.v1
2402.11863 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:47:53.644871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:40:43.223640Z

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 5039df3e-3993-4ec9-90b8-de83b41ba049 · inbound

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data cites this paper.

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:53.644871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be85453-978e-4a2e-9aab-8f88075d2dfa · inbound

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance? cites this paper.

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance? How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T17:40:55.021491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88c8d55d-7c93-49ba-a0a2-552a6ae8ec58 · inbound

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training cites this paper.

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.226548Z

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.

Observation 95ca288a-1e8d-4d53-9ab9-2a8769042e1b · inbound

A Multi-Dimensional Evaluation of Explainability in Media Bias Detection cites this paper.

A Multi-Dimensional Evaluation of Explainability in Media Bias Detection How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:15:44.404436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88cb50c4-0fc9-47e6-827c-7dbde6fd8845 · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Reference 122

Resolution: unresolved; no resolver link, observed 2026-08-01T08:36:28.618348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.