Paper Citation Record · LEDGER

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance

As of 8 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2601.07085.

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

pith.paper-citation-record.v1
2601.07085 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:13:48.073242Z

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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88913f04-6fac-4369-936c-73a121fd8eb1 · outbound

This paper cites The results were striking: AI-generated persuasive messages changed attitudes significantly more than human-written equivalents.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance The results were striking: AI-generated persuasive messages changed attitudes significantly more than human-written equivalents

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:47.538585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c668078-9a7f-41c9-87fe-ea23b9099620 · outbound

This paper cites The common intuition—that humans believe what they hear unless given specific reason to doubt—turns out to be empirically inadequate.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance The common intuition—that humans believe what they hear unless given specific reason to doubt—turns out to be empirically inadequate

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:47.627468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c9ed99-3409-4b0c-890c-4f0cc70064ba · outbound

This paper cites This is not a claim about AI deception.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance This is not a claim about AI deception

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:47.707051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5745c7cc-9882-420c-8260-4d5d64b639af · outbound

This paper cites These mechanisms are not mutually exclusive; they likely operate simultaneously and reinforcingly in real interactions.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance These mechanisms are not mutually exclusive; they likely operate simultaneously and reinforcingly in real interactions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:47.752608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8321f728-c6ac-4e30-b0cb-c63a93f6a28d · outbound

This paper cites an unresolved cited work.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:47.833620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18958764-ad9b-41a8-8561-c1a1cc38929f · outbound

This paper cites Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:48.073242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39f31c82-addd-46d6-8042-a22ffe55950a · outbound

This paper cites This section outlines priority research directions organized around the core mechanisms and concepts developed above.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance This section outlines priority research directions organized around the core mechanisms and concepts developed above

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:47.908998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a15ed6-802d-4cff-9e17-26df234071eb · outbound

This paper cites The risk is not only that these systems might deceive us—though they sometimes do, through hallucination or manipulation.

The AI Cognitive Trojan Horse: How Large Language Models May Bypass Human Epistemic Vigilance The risk is not only that these systems might deceive us—though they sometimes do, through hallucination or manipulation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:47.984436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.