Pith. sign in

Paper Citation Record · LEDGER

Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.01576.

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

pith.paper-citation-record.v1
2405.01576 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:22:44.881881Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:07:13.036229Z

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 97cc6a9f-4968-4d73-9e69-e9a998fab079 · inbound

Frontier Models are Capable of In-context Scheming cites this paper.

Frontier Models are Capable of In-context Scheming Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:22:01.651474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T14:22:01.616448Z digest=sha256:b086c311976f07f0a329b6960645763cd9aff05f6af244654a24b7c3292551a2

Observation 37160e69-f16d-4b99-a44e-acd3993e457f · inbound

OpenAI o1 System Card cites this paper.

OpenAI o1 System Card Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:42:39.664420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T06:39:44.542350Z digest=sha256:2533a17f609846f406912e324c438af28a5b51f2c68d35a218d92859ff887bbf

Observation f7702c32-0ac5-45b9-8bd8-3d9076b32dac · inbound

A Survey of Theory of Mind in Large Language Models: Evaluations, Representations, and Safety Risks cites this paper.

A Survey of Theory of Mind in Large Language Models: Evaluations, Representations, and Safety Risks Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T15:22:44.881881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:22:44.881881Z digest=sha256:ad6a211d4d7f6ca4a4ec5cadf5dc341847d57ada55aac760e3e983408ed9538e

Observation 402d8be2-8ff0-4110-a8f8-faa163e3c199 · inbound

Lessons from a Chimp: AI "Scheming" and the Quest for Ape Language cites this paper.

Lessons from a Chimp: AI "Scheming" and the Quest for Ape Language Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T20:18:15.561174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:18:15.561174Z digest=sha256:96164ff2f91a207aab9dda7392fc2e3dec15c49e3c75bcd0f530c8426427f593

Observation 799f3e40-db50-4bb5-bd50-c5f18f288c55 · inbound

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models cites this paper.

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

Reference 77

Resolution
malformed identifier
arxiv_id, observed 2026-07-02T17:07:13.037641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T22:10:01.701850Z digest=sha256:6a6e70505ccaa71bede47a3c480bcd46c7c29911ee73862a1afca451c5c43eb3

Observation 3c0e9a5d-2aba-48ad-a0c8-9c93a44002b7 · inbound

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models cites this paper.

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

Reference 77

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T05:53:08.743302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T05:50:40.480874Z digest=sha256:4ee8ad1d33c00f3c12ab3bc65b3f285422405bb6019a1c4426f391cfa8fcf190