Paper Citation Record · LEDGER

In-Context Impersonation Reveals Large Language Models' Strengths and Biases

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.14930.

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

pith.paper-citation-record.v1
2305.14930 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:45:05.461790Z

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

35
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 75d154f8-6dfb-4a9e-aa68-8f93f1c41c91 · inbound

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models cites this paper.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.461790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63fea39-20de-433c-8e33-492bd751db1d · inbound

Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch cites this paper.

Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:13:15.613637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e652c023-6758-46ce-a9b3-bf8893fb1cac · inbound

DeFrame: Debiasing Large Language Models Against Framing Effects cites this paper.

DeFrame: Debiasing Large Language Models Against Framing Effects In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T04:43:47.567726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf1ec74e-876a-4e8f-9f82-6e190d7e28c0 · inbound

Mitigating LLM biases toward spurious social contexts using direct preference optimization cites this paper.

Mitigating LLM biases toward spurious social contexts using direct preference optimization In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:14.734867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 70ff1356-a2ef-45aa-af6b-8c1d1ef3c119 · inbound

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs cites this paper.

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:22:21.223232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 45b57d8d-bc9c-4d30-9ed6-14f9c2a7de95 · inbound

The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models cites this paper.

The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:11:09.010914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 310dc9c8-c061-4a76-89ef-4de643cb267d · inbound

Beyond Inefficiency: Systemic Costs of Incivility in Multi-Agent Monte Carlo Simulations cites this paper.

Beyond Inefficiency: Systemic Costs of Incivility in Multi-Agent Monte Carlo Simulations In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:27:24.302838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.