Paper Citation Record · LEDGER

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2506.13681.

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

pith.paper-citation-record.v1
2506.13681 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:57.090248Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:13:20.622187Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:13:23.801132Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy5
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8dcc021-4f6c-4f67-91dc-c33f88444fc4 · outbound

This paper cites A learning algorithm for boltzmann machines.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models A learning algorithm for boltzmann machines

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.441350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7b3092-29d8-4d1a-9d8a-47ce63def399 · outbound

This paper cites Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.463720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae03c04a-fd84-42c9-a0de-1407915bc635 · outbound

This paper cites Lessons from the Trenches on Reproducible Evaluation of Language Models.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Lessons from the Trenches on Reproducible Evaluation of Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.489701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9e3d06-27a1-4597-a771-bcf490d1e2bd · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.513078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b3e1509-4d3a-431d-b48a-814c81cce5b3 · outbound

This paper cites All that’s ‘human’is not gold: Evaluating human evaluation of generated text.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models All that’s ‘human’is not gold: Evaluating human evaluation of generated text

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:58.183104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9dac3f31-58ca-4613-a4ef-147a0fa15ce6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.565400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cebc7a95-0549-483c-855c-5a9d1e63926f · outbound

This paper cites Alpacafarm: A simulation framework for methods that learn from human feedback.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Alpacafarm: A simulation framework for methods that learn from human feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.593366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b2d0a9-8605-4548-b823-3041c1e64597 · outbound

This paper cites Hierarchical Neural Story Generation.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Hierarchical Neural Story Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.619376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79fa9a3-b52d-4d9c-82f3-8e145a4be9a8 · outbound

This paper cites A framework for few-shot language model evaluation.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models A framework for few-shot language model evaluation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.637364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b9a0148-f519-44b5-ae65-fe3a2859a2e8 · outbound

This paper cites The Llama 3 Herd of Models.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.669362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed55ea1-2044-49be-9455-f1d2eea268bd · outbound

This paper cites Truncation sampling as language model desmoothing.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Truncation sampling as language model desmoothing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:58.045129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 78bfc7e5-da21-453d-ba15-e801554402c9 · outbound

This paper cites The curious case of neural text degeneration.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models The curious case of neural text degeneration

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.748459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0b60f6a-0eed-4a4f-99de-a18e3c05246f · outbound

This paper cites Twenty years of confusion in human evaluation: Nlg needs evaluation sheets and standardised definitions.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Twenty years of confusion in human evaluation: Nlg needs evaluation sheets and standardised definitions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:57.899068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09d6e90e-bba0-4890-9cb1-187c5f4cdcb6 · outbound

This paper cites Best-of-N Jailbreaking.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Best-of-N Jailbreaking

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.835946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06acc435-58f0-4929-bef1-202e0f9db2c6 · outbound

This paper cites Mistral 7B.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Mistral 7B

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.879471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 615b277e-dbe7-4134-9274-7e992d1817d0 · outbound

This paper cites GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.913375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b4e5a4b-cb9c-4437-9fbb-da517ee04f3b · outbound

This paper cites Holistic Evaluation of Language Models.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Holistic Evaluation of Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:55.961100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e20b17-c968-485a-bb33-cfa6b64915d5 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models WebGPT: Browser-assisted question-answering with human feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.008652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313b3695-ad47-4e79-879f-e56df6c2a21b · outbound

This paper cites Qwen2.5 Technical Report.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Qwen2.5 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.081070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c239b07c-5622-45bd-94d1-0ca3336170a3 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.121768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7b6a6a-36c9-41d9-9879-c58c496484c9 · outbound

This paper cites Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.162766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac143d01-b5cc-471d-87fb-70751c3cedd8 · outbound

This paper cites How Do Large Language Monkeys Get Their Power (Laws)?.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models How Do Large Language Monkeys Get Their Power (Laws)?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.210081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523f81be-7186-450e-9f35-57f6dd470994 · outbound

This paper cites Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:31:57.274449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a67831ca-7072-4711-b97e-397476428a2b · outbound

This paper cites Learning to summarize with human feedback.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Learning to summarize with human feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.309943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5db7987-a4ed-4a92-8dba-5edd52d2596c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.373953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8861f4-44c7-4d06-856f-0f855884c2d5 · outbound

This paper cites Best practices for the human evaluation of automatically generated text.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Best practices for the human evaluation of automatically generated text

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:57.775291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a71ed187-186d-4b4f-9697-0ac273e92bb4 · outbound

This paper cites Do Large Language Model Benchmarks Test Reliability?.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Do Large Language Model Benchmarks Test Reliability?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.526077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d20450-4ce6-4684-b241-ea212b417015 · outbound

This paper cites Investigating Non-Transitivity in LLM-as-a-Judge.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Investigating Non-Transitivity in LLM-as-a-Judge

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.606349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0db17fcf-b662-4fd6-aa54-17928e53e6eb · outbound

This paper cites A careful examination of large language model performance on grade school arithmetic.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models A careful examination of large language model performance on grade school arithmetic

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:57.661575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 970e9838-cdef-4d8c-a380-973dc9418e95 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.784918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656dbe27-9ce0-4b9c-ba1a-4deeea2c5c50 · outbound

This paper cites write newline.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models write newline

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.873071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0efe822-62ee-4987-8c3d-439a686af387 · outbound

This paper cites @esa (Ref.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models @esa (Ref

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.947707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3415b9-00c1-4e09-b128-b39339e4f8e9 · outbound

This paper cites an unresolved cited work.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:57.035227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9963d8d9-259b-4585-85c8-9eb804606146 · outbound

This paper cites an unresolved cited work.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:57.090248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b699c5cc-096b-4905-afd9-1ec58f34a800 · inbound

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track cites this paper.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:13:23.915811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.