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Paper Citation Record · LEDGER

Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models

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.

pith.paper-citation-record.v1
2412.17128 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:21:52.573953Z

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 5b6e8eeb-3b6e-41e2-9fbd-e5caf3e77448 · inbound

Thinking beyond the anthropomorphic paradigm benefits LLM research cites this paper.

Thinking beyond the anthropomorphic paradigm benefits LLM research Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T22:21:52.573953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.573953Z digest=sha256:d03b68617755e326e634c8a03b6fdc0c2bea164acb8dff3be6162f14661795b1

Observation 1eef49fa-a998-4071-a0a6-68a3e79ee7be · inbound

Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T21:41:06.348208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:41:06.348208Z digest=sha256:92c62e1629ff174da8877ae0f445ddf6f66392ad88fb4062b2f58fb46d2c2f13

Observation ae023752-eb8d-48fb-9585-98f9da5c2808 · inbound

Understanding, Challenging, and Demystifying Perceptions of Gig Worker Vulnerabilities cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-21T19:54:20.066240Z

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.

source=pdf_text observed=2026-05-21T19:51:38.026403Z digest=sha256:203cc75d227e6f43c8c32e1f9912b7c726c1c5acf6c226df5bc0c2713d0fab1c

Observation 00924916-3e5e-4e0d-bcd3-bac466b7dfd0 · inbound

Love, Lies, and Language Models: Investigating AI's Role in Romance-Baiting Scams cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T21:48:34.326927Z

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.

source=pdf_text observed=2026-05-16T21:47:54.299087Z digest=sha256:b823e3929f8f7ed2254a308d113c823a0e7c296a77c7bd8be03b31cac1a4a0f6

Observation 966d67f2-f1ce-46e1-a7a3-6f70fcf4fc9c · inbound

Large language models can effectively convince people to believe conspiracies cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T11:53:56.983382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:53:56.983382Z digest=sha256:e5965e2c17e12da45f52a09c574775f6da95d94c85d98897ac6bccbc78d4752e

Observation 140e191f-714d-4cba-97af-16dd27e15b98 · inbound

Learning with Conflicts of Interest cites this paper.

Learning with Conflicts of Interest Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:12:39.650820Z

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.

source=pdf_text observed=2026-05-19T16:04:11.290212Z digest=sha256:67267078496b6e7b4f732e2f5dfabd2e564bd72d2780fc06c46648d565c63bb6

Observation c727e23c-c646-4bdf-aa5f-5e8943afd8a5 · inbound

Inverse Turing Bench: Evaluating Language Models as Judges of Human vs. AI Dialogue cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-06-26T12:29:27.820730Z

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.

source=arxiv_source observed=2026-06-26T12:23:24.516866Z digest=sha256:f8b1cf82be28d1279a90aa87a729b28f9bafe2e0e55d59a8767005acd46db01a

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 cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:15:44.673856Z

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.

source=arxiv_source observed=2026-07-01T05:40:54.002702Z digest=sha256:f71619e530d2e27a164cd5afb33b7016f746c93caad34b2874a7a782a950f6a4