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Paper Citation Record · LEDGER

Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.14876.

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

pith.paper-citation-record.v1
2311.14876 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:06:13.784531Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cf2c6d5c-4cc0-46fa-9731-281d86af64ef · inbound

Transcoders for Investigating Deception in Language Models cites this paper.

Transcoders for Investigating Deception in Language Models Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-02T01:08:29.034753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-02T01:06:13.784531Z digest=sha256:af8b30de57f6147fe6e402f14807804d258049a3d1a3934ddef2bebcd693377d