Paper Citation Record · LEDGER

Are self-explanations from Large Language Models faithful?

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.07927.

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

pith.paper-citation-record.v1
2401.07927 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:48:27.321569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:48:22.927171Z

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 9b804036-7e21-490f-936c-096c3ff2e027 · inbound

A Systematic Comparison between Extractive Self-Explanations and Human Rationales in Text Classification cites this paper.

A Systematic Comparison between Extractive Self-Explanations and Human Rationales in Text Classification Are self-explanations from Large Language Models faithful?

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:48:22.935961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e24c8cb1-c54f-41c7-9967-fcc4a35e5c16 · inbound

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification cites this paper.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Are self-explanations from Large Language Models faithful?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:58.494261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2cf40a0-70f4-4f11-a453-7debdaedb196 · inbound

When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making cites this paper.

When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making Are self-explanations from Large Language Models faithful?

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T13:24:11.341483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d012275-7e14-4a3a-9a9f-d515635f3a53 · inbound

Learning to Draw ASCII Improves Spatial Reasoning in Language Models cites this paper.

Learning to Draw ASCII Improves Spatial Reasoning in Language Models Are self-explanations from Large Language Models faithful?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:55:03.998936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6470a4c-b47c-44d1-8bee-c65ce97c880d · inbound

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection cites this paper.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Are self-explanations from Large Language Models faithful?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T01:17:36.542815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9303776c-8a0a-4497-b246-fcf9166d0358 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language Are self-explanations from Large Language Models faithful?

Reference 208

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:58.545731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e453b370-4527-475f-9182-39712df28030 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language Are self-explanations from Large Language Models faithful?

Reference 208

Resolution: unresolved; no resolver link, observed 2026-07-13T07:02:13.140334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a68a1862-caa4-42d8-b716-b958b7c0798b · inbound

Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks cites this paper.

Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks Are self-explanations from Large Language Models faithful?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T06:02:15.946864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e089ed-6f11-46b8-87cd-5d4417b2b037 · inbound

Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods cites this paper.

Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods Are self-explanations from Large Language Models faithful?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T10:46:53.439953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb14453-9b7d-4f91-9c9b-70c600f5982c · inbound

Social Pressure Breaks Majority Voting in LLM Safety Panels cites this paper.

Social Pressure Breaks Majority Voting in LLM Safety Panels Are self-explanations from Large Language Models faithful?

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:27.321569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.