Paper Citation Record · LEDGER

Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.18189.

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

pith.paper-citation-record.v1
2305.18189 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:58.974898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:58.401000Z

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 d5049715-d623-481d-a875-fbf0ac4abe9a · inbound

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG cites this paper.

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:58.974898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efcda41-3755-4c15-a35f-42b714b0377c · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:25:32.633723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06431b09-7a13-4744-9d20-71ccf7319cb9 · inbound

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs cites this paper.

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:24.647157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccf76b2d-4a6e-490b-acca-e0f70eeafdea · inbound

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences cites this paper.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.724941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbab95df-f95b-424f-9b86-1b6b84b0373a · inbound

Against 'softmaxing' culture cites this paper.

Against 'softmaxing' culture Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:01.735011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d285a1-5bf7-444d-a844-56deb5ef5203 · inbound

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

DeFrame: Debiasing Large Language Models Against Framing Effects Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:43:41.232428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6fca3e2-ec52-4ad2-a675-f13b37758ce3 · inbound

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives cites this paper.

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 289

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T01:04:50.342324Z

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.

Observation 1c0f5171-5bb9-474f-9940-d67ac53f7d6d · 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 Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:08.923961Z

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.

Observation eab3f0ba-9f47-4718-9430-84f356fdb670 · inbound

What if AI systems weren't chatbots? cites this paper.

What if AI systems weren't chatbots? Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:25:57.708444Z

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.

Observation 44ab4ceb-a51f-427c-9ccf-44f087f4bca1 · inbound

Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions cites this paper.

Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:52:42.873115Z

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.

Observation 0846cc52-d050-455e-88d7-f5ad6c6ddea1 · inbound

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions cites this paper.

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:06:58.402549Z

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.

Observation 502e641c-6490-4521-99b7-76640b9e4470 · inbound

More Is Not More: What Matters for Diversity in LLM Opinions? cites this paper.

More Is Not More: What Matters for Diversity in LLM Opinions? Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:33:30.866004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.