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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:33.090030Z

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 08ea60ec-06a1-4052-912e-4e5117b58840 · inbound

Evaluating the Prompt Steerability of Large Language Models cites this paper.

Evaluating the Prompt Steerability of Large Language Models Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T17:41:37.659054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:41:37.659054Z digest=sha256:2b70d251170aedac00d7aabd4a1e53c275c23fe2e147102aebdf8db0342f7cd1

Observation f0cbc584-1b17-486b-afa9-b8403bc9aa68 · inbound

Aspirational Affordances of AI cites this paper.

Aspirational Affordances of AI Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-16T11:30:33.090030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:30:33.090030Z digest=sha256:1b0af064e13e7416a93e0121d61d06f8db707642471e5caebe7dd04e45e767a9

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.

source=pdf_text observed=2026-08-07T15:00:58.974898Z digest=sha256:22ce23f73f5b3993da38fbb6ebd3f094930c5cac23f77245e51a33c589fa0746

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.

source=pdf_text observed=2026-08-07T12:25:32.633723Z digest=sha256:0d50b6762d843a1578c74dc9af46f0050261533ae9df4b9d4417c54e6291063f

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.

source=pdf_text observed=2026-08-07T12:06:24.647157Z digest=sha256:b87a8dba23f6aba7bcbff5fbb83fc949275dcbc214f7754df44e1fe7a2a6280e

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.

source=pdf_text observed=2026-08-07T04:07:20.724941Z digest=sha256:931db32f29242e0b7aa20bcfb0e56688605aa2354c822054b56ee47a63a52555

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.

source=arxiv_source observed=2026-08-06T21:56:01.735011Z digest=sha256:acf0d60356888c825a61e79a40b17646152c3b03e1410d4ddfd79804bb51ff09

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.

source=pdf_text observed=2026-08-03T04:43:41.232428Z digest=sha256:d6dbc105b6dd94649f3a38afaa50ea75808d5d4158a6cc5d554fea2d58e031a6

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T01:00:41.543394Z digest=sha256:7b9865b05c8223cb6d7d2127aa7283e0407ded4e8ee99f342be992a4e7bf42e4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T10:11:08.494758Z digest=sha256:4cb5260e65082b8def9d86fe0e546d1697d22ff1217c102b830c85dfce71b805

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T03:21:58.498789Z digest=sha256:b865a9b3c0f3a0ad44a5811f15984ca33be37ef933b93e1390a3227223a486be

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T17:49:23.813903Z digest=sha256:f910374a5b9161c964951b77aa5085c34b668a1df623a9cf0a02d816e16a3cad

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-02T13:06:28.163476Z digest=sha256:8fd7d9a980f5a564f6ca38a8d68ae73087946a711e10cbafbb81554b16d180d1

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.

source=pdf_text observed=2026-08-02T14:33:30.866004Z digest=sha256:8110bb1c7b0a9a6861e2bcbded0b0fe1166683f1e1a0e1d35575b62faa5c4c06