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Paper Citation Record · LEDGER

The One-Word Census: Answer-Choice Conformity Across 44 Language Models

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2607.12796.

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

pith.paper-citation-record.v1
2607.12796 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:23:49.144748Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:23:44.861329Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier1
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Outbound references

Observation be8e3b7d-58da-485a-b99b-03cb5b6d29b2 · outbound

This paper cites Homogenization Effects of Large Language Models on Human Creative Ideation.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Homogenization Effects of Large Language Models on Human Creative Ideation

Reference 1

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Observation f114f2c7-2e79-4ef5-8984-530bad828590 · outbound

This paper cites Commitments on model deprecation and preservation.https://www.anthropic.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Commitments on model deprecation and preservation.https://www.anthropic

Reference 2

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source=pdf_text observed=2026-08-02T06:23:46.122032Z digest=sha256:0fa4ed0409a6f410d24a4fa03500b32e33ad89925318cf7519cc6dd20a38c91e

Observation 9717c352-b4d8-4245-bc52-67e4972c23ac · outbound

This paper cites Battig and William E.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Battig and William E

Reference 3

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Observation c7fe54e1-3fb5-40f7-a768-6c321f80f283 · outbound

This paper cites The AI values dashboard.https://values.safe.ai, 2025.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models The AI values dashboard.https://values.safe.ai, 2025

Reference 4

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Observation f323a33f-2d04-4b37-8267-2898dbb4f7d3 · outbound

This paper cites How is ChatGPT's behavior changing over time?.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models How is ChatGPT's behavior changing over time?

Reference 5

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Observation 1a704ce3-4504-4a63-b6d5-72292e7fe376 · outbound

This paper cites DeepSeek-V3-0324 release.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models DeepSeek-V3-0324 release

Reference 6

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source=pdf_text observed=2026-08-02T06:23:46.607253Z digest=sha256:b288fa43bcd4aa336efc8d52d7ea0ae6445353daad263fd0e04e0fe4b0d5e565

Observation ea9e9b01-b0d0-423d-95a0-eeb456f6ac99 · outbound

This paper cites Generative artificial intelligence enhances creativity but reduces the diversity of novel content.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Generative artificial intelligence enhances creativity but reduces the diversity of novel content

Reference 7

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Observation 079c488d-30c4-47e0-9e24-22c18a65d392 · outbound

This paper cites AI generates well-liked but templatic empathic responses.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models AI generates well-liked but templatic empathic responses

Reference 8

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source=pdf_text observed=2026-08-02T06:23:46.821499Z digest=sha256:960894f5c53c24d6a74e6a6565fb60752184512eff48316a94fc041520b623d5

Observation 443661f4-c653-4703-b4a4-ec1d93d221d3 · outbound

This paper cites The curious decline of linguistic diversity: Training language models on synthetic text.Findings of NAACL,.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models The curious decline of linguistic diversity: Training language models on synthetic text.Findings of NAACL,

Reference 9

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source=pdf_text observed=2026-08-02T06:23:46.994747Z digest=sha256:8f52505a2acd2f36a760b6281da19ddd43baef8115b5c2d91011128060bd0a12

Observation 1c9c94d7-4006-45d9-b63f-8616a0e8ee4d · outbound

This paper cites KL-regularized reinforcement learning is designed to mode collapse.arXiv preprint arXiv:2510.20817, 2025.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models KL-regularized reinforcement learning is designed to mode collapse.arXiv preprint arXiv:2510.20817, 2025

Reference 10

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Observation e0c47ab1-1244-40e8-b636-13b93ae66658 · outbound

This paper cites Mysteries of mode collapse.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Mysteries of mode collapse

Reference 11

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Observation c8a131a8-314f-4db1-ada4-d7c2cdf66db0 · outbound

This paper cites Artificial Hivemind: The open-ended homogeneity of language models (and beyond).Advances in Neural Information Processing Systems (NeurIPS), 2025.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Artificial Hivemind: The open-ended homogeneity of language models (and beyond).Advances in Neural Information Processing Systems (NeurIPS), 2025

Reference 12

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Observation 67ff8c3a-4e60-469a-951d-4597ac34d948 · outbound

This paper cites an unresolved cited work.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-02T06:23:47.459478Z digest=sha256:7655f8fd482ec8e5f1c6d8a9e8f4a6f56f24c3083deffc0bd56254e223aa1d4e

Observation af4d13f8-d8d0-4a61-9d3e-4d66c7c64c99 · outbound

This paper cites Where does output diversity collapse in post-training?.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Where does output diversity collapse in post-training?

Reference 14

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Observation 5e2cf7ab-a664-460c-8752-a6e7bfb6a2a4 · outbound

This paper cites Understanding the Effects of RLHF on LLM Generalisation and Diversity.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Understanding the Effects of RLHF on LLM Generalisation and Diversity

Reference 15

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Observation c112cd92-41c3-4a74-bf88-dc827681b73b · outbound

This paper cites please, don’t kill the only model that still feels human.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models please, don’t kill the only model that still feels human

Reference 16

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Observation cb0a8a51-7bbf-406d-9a19-18981bc59797 · outbound

This paper cites A Diversity-Promoting Objective Function for Neural Conversation Models.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models A Diversity-Promoting Objective Function for Neural Conversation Models

Reference 17

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Observation 0f44fba6-c473-437f-9b6f-25c2c03e8c57 · outbound

This paper cites Jointly Reinforcing Diversity and Quality in Language Model Generations.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Jointly Reinforcing Diversity and Quality in Language Model Generations

Reference 18

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Observation 5ec4d32c-2dd7-47b2-b215-17470dc4161d · outbound

This paper cites Holistic Evaluation of Language Models.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Holistic Evaluation of Language Models

Reference 19

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source=pdf_text observed=2026-08-02T06:23:47.895287Z digest=sha256:4ece048403351a86b08cef9604b957d98e0d4e7ca34f69bd861b51b9b3075377

Observation b7d33e88-1972-4216-b38f-59afce15e463 · outbound

This paper cites The alignment tax: Response homogenization in aligned LLMs and its implica- tions for uncertainty estimation.arXiv preprint arXiv:2603.24124, 2026.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models The alignment tax: Response homogenization in aligned LLMs and its implica- tions for uncertainty estimation.arXiv preprint arXiv:2603.24124, 2026

Reference 20

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Observation 037546a6-f3fb-41db-be79-b15e5fc7b632 · outbound

This paper cites Does Writing with Language Models Reduce Content Diversity?.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Does Writing with Language Models Reduce Content Diversity?

Reference 21

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Observation 04740a66-b7bd-4838-ba7a-8088b8704d70 · outbound

This paper cites Whose Opinions Do Language Models Reflect?.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Whose Opinions Do Language Models Reflect?

Reference 22

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Observation 1b91b751-a714-4bb1-b6d1-09f1c179642a · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 23

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Observation 4855884f-df11-46f7-928d-54c99b0614d4 · outbound

This paper cites The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism

Reference 24

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Observation aa766e4f-72cb-4b9d-883d-3efc3e2c899d · outbound

This paper cites rspeer/wordfreq: v3.0, 2022.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models rspeer/wordfreq: v3.0, 2022

Reference 25

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Observation 6e76eacc-97ad-4f7b-a0f0-5bc2648e1979 · outbound

This paper cites Evaluating the Evaluation of Diversity in Natural Language Generation.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Evaluating the Evaluation of Diversity in Natural Language Generation

Reference 26

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Observation 2204772e-11c6-4dd3-832b-7b0f79272c3d · outbound

This paper cites Van Overschelde, Katherine A.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Van Overschelde, Katherine A

Reference 27

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Observation 33ee624d-5fce-4236-9707-3fc3ebe73cd3 · outbound

This paper cites We're Different, We're the Same: Creative Homogeneity Across LLMs.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models We're Different, We're the Same: Creative Homogeneity Across LLMs

Reference 28

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Observation ccf35367-22c9-4c9f-9663-f88534255fbd · outbound

This paper cites Epistemic diversity and knowledge collapse in large language models.arXiv preprint arXiv:2510.04226, 2025.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Epistemic diversity and knowledge collapse in large language models.arXiv preprint arXiv:2510.04226, 2025

Reference 29

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Observation 98ad1e16-52fa-4778-97ad-dcdcd458fabf · outbound

This paper cites Forcing Diffuse Distributions out of Language Models.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Forcing Diffuse Distributions out of Language Models

Reference 30

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Observation 936bca94-5995-49a8-9678-86debf1c3588 · outbound

This paper cites NoveltyBench: Evaluating Language Models for Humanlike Diversity.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models NoveltyBench: Evaluating Language Models for Humanlike Diversity

Reference 31

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Observation ea5cb957-42ae-4423-bcb6-201082491708 · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 32

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Observation 0718dd6e-a337-4eb6-9e03-0a78f7fc2e1f · outbound

This paper cites LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 33

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Pith citing papers

Observation d1dd7e00-6ef4-4181-8dfb-ea2793704f07 · inbound

Structured Output Collapses Answer Diversity Across 44 Language Models cites this paper.

Structured Output Collapses Answer Diversity Across 44 Language Models The One-Word Census: Answer-Choice Conformity Across 44 Language Models

Reference 2026

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Observation 68083a89-9554-471b-878b-d16a3ce0af9b · inbound

Tag Questions and the Generational Reversal of Sycophancy Across 45 Language Models cites this paper.

Tag Questions and the Generational Reversal of Sycophancy Across 45 Language Models The One-Word Census: Answer-Choice Conformity Across 44 Language Models

Reference 2026

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