Paper Citation Record · LEDGER

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2309.15840.

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

pith.paper-citation-record.v1
2309.15840 v1

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 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:54:28.830221Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1b9e4f05-124d-4112-9710-342543df70ad · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 246

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.837421Z

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 31dd612d-a0df-48af-9a50-7fe16c02f0fc · inbound

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation cites this paper.

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:24:13.011441Z

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 15c7c158-e2ba-40be-8547-9b1de7262056 · inbound

Mechanistic Interpretability Needs Philosophy cites this paper.

Mechanistic Interpretability Needs Philosophy How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.348174Z

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 275b441e-b169-4c87-9eeb-ba71f65e7ca6 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:28.830221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0186454c-f213-4980-a359-d138854264c5 · inbound

Reliable Weak-to-Strong Monitoring of LLM Agents cites this paper.

Reliable Weak-to-Strong Monitoring of LLM Agents How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:52.974982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f380ab-094e-40e4-bbff-bff5e3c22739 · inbound

Scheming Ability in LLM-to-LLM Strategic Interactions cites this paper.

Scheming Ability in LLM-to-LLM Strategic Interactions How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T07:51:03.760820Z

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 f74a9ba6-7e00-4755-a44d-0a07eadc4873 · inbound

Do Linear Probes Generalize Better in Persona Coordinates? cites this paper.

Do Linear Probes Generalize Better in Persona Coordinates? How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:56:25.737646Z

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 4c69ab1e-52d1-43b0-a851-64fd6d69bb5b · inbound

"Did you lie?" Evaluating Lie Detectors across Model Scale and Belief-Verified Model Organisms cites this paper.

"Did you lie?" Evaluating Lie Detectors across Model Scale and Belief-Verified Model Organisms How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-06-27T10:00:49.511389Z

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 715ec50a-dc8c-4ba0-b8e1-d896b31568d0 · inbound

Radical AI Interpretability cites this paper.

Radical AI Interpretability How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:09:51.059216Z

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 7093ab82-e46b-455f-8108-ddaf0a7ccfc5 · inbound

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect cites this paper.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:02.279489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.