Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.17128.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:21:52.573953Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 5b6e8eeb-3b6e-41e2-9fbd-e5caf3e77448 · inbound
Thinking beyond the anthropomorphic paradigm benefits LLM research Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1eef49fa-a998-4071-a0a6-68a3e79ee7be · inbound
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae023752-eb8d-48fb-9585-98f9da5c2808 · inbound
Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 52
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 00924916-3e5e-4e0d-bcd3-bac466b7dfd0 · inbound
Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 27
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 966d67f2-f1ce-46e1-a7a3-6f70fcf4fc9c · inbound
Large language models can effectively convince people to believe conspiracies Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 140e191f-714d-4cba-97af-16dd27e15b98 · inbound
Learning with Conflicts of Interest Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 14
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 c727e23c-c646-4bdf-aa5f-5e8943afd8a5 · inbound
Inverse Turing Bench: Evaluating Language Models as Judges of Human vs. AI Dialogue Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 62
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 5c734c09-cff0-4d1f-947b-663463329608 · inbound
Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Reference 82
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.