Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.15840.
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 2026-07-23T06:31:01.910684+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T09:51:16.969884Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 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 2026-07-23T06:31:01.910684+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 2026-07-23T06:31:01.910684+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 2026-07-23T06:31:01.910684+00:00.
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 2026-07-23T06:31:01.910684+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 2026-07-23T06:31:01.910684+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 2026-07-23T06:31:01.910684+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 2026-07-23T06:31:01.910684+00:00.