Paper Citation Record · LEDGER

Inducing anxiety in large language models can induce bias

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.11111.

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

pith.paper-citation-record.v1
2304.11111 v2

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:24.991821Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:12:30.109181Z

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 93106d5b-f101-4769-87b5-f026a052d2c2 · inbound

LLM-D12: A Dual-Dimensional Scale of Instrumental and Relational Dependencies on Large Language Models cites this paper.

LLM-D12: A Dual-Dimensional Scale of Instrumental and Relational Dependencies on Large Language Models Inducing anxiety in large language models can induce bias

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:24.991821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3fe976-c799-4136-9c6e-e78112208d83 · inbound

Psychologically Enhanced AI Agents cites this paper.

Psychologically Enhanced AI Agents Inducing anxiety in large language models can induce bias

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:48.651935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3f11387-8e95-44bd-9326-ec66c55f20ee · inbound

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects cites this paper.

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects Inducing anxiety in large language models can induce bias

Reference 152

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:12:30.112243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 016f70c1-21b1-445d-a3af-5395e165173a · inbound

The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents cites this paper.

The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents Inducing anxiety in large language models can induce bias

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:25:54.047939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 716ed300-84de-45bd-98f9-1ba0c09f4276 · inbound

Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement cites this paper.

Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement Inducing anxiety in large language models can induce bias

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T03:27:01.223355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1560ea-9548-4401-8c23-a5e7a22e8c8a · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Inducing anxiety in large language models can induce bias

Reference 249

Resolution: unresolved; no resolver link, observed 2026-07-31T23:52:12.667824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.