Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Assessment of Model-On-Model Deception
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.12999.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:37:16.805053Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 5ba5a67b-146f-4d5d-910f-6894243b8b0a · inbound
Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment cites this paper.
Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment An Assessment of Model-On-Model Deception
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:02.596391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ebd489e-c5c4-468f-95ed-02ced5ed45bd · inbound
Compromising Honesty and Harmlessness in Language Models via Deception Attacks cites this paper.
Compromising Honesty and Harmlessness in Language Models via Deception Attacks An Assessment of Model-On-Model Deception
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T05:42:43.762712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4341b2b6-54e4-493e-b552-efea70c07da8 · inbound
Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs cites this paper.
Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs An Assessment of Model-On-Model Deception
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:37:16.805053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.