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Paper Citation Record · LEDGER

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2504.12585.

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

pith.paper-citation-record.v1
2504.12585 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:36.905620Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:17:34.317147Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:37:22.852589Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved22
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External citation measurements

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Outbound references

Observation 92dcb18c-980d-4b19-87bf-a7cf3bb5bc8c · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 3

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Observation be39e095-8b47-41d4-8dd4-eb99bd389769 · outbound

This paper cites All experiments are trained for 50 epochs, use learning-rate = 10−4, weight-decay = 0.01, 14 Preprint.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models All experiments are trained for 50 epochs, use learning-rate = 10−4, weight-decay = 0.01, 14 Preprint

Reference 5

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 11ac7f8a-d936-4d62-9859-6d8e98dfdabb · outbound

This paper cites Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations

Reference 6

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Observation e22fa075-9e2b-4d28-8cc0-de4dea2cc79e · outbound

This paper cites Under review.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Under review

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 29d081c7-3e59-4c9f-ab14-525ca45fc9bb · outbound

This paper cites Universal Neurons in GPT2 Language Models.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Universal Neurons in GPT2 Language Models

Reference 9

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Observation 0784b515-7eaa-4e75-ae59-1354972c0717 · outbound

This paper cites Designing and interpreting probes with control tasks.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Designing and interpreting probes with control tasks

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cfb7f09b-297e-4351-99ff-64f39b21df6a · outbound

This paper cites Quantifying the Persona Effect in LLM Simulations.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Quantifying the Persona Effect in LLM Simulations

Reference 12

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Observation cd4c451c-3769-4f7d-834d-50ba5cc381dc · outbound

This paper cites Language Models (Mostly) Know What They Know.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Language Models (Mostly) Know What They Know

Reference 13

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Observation a2ff0326-c10e-43be-b2f8-65bf70dde977 · outbound

This paper cites VISIT: Visualizing and interpreting the semantic information flow of transformers.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models VISIT: Visualizing and interpreting the semantic information flow of transformers

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:32:36.824560Z digest=sha256:05fad764300dbcc62621fef4ddb9287bb7c02eaf8278832fbf9d340cf060adf6

Observation c48ff341-7a4b-447d-98a5-0da77beb9bad · outbound

This paper cites doi: 10.18653/v1/2023.findings-emnlp.939.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models doi: 10.18653/v1/2023.findings-emnlp.939

Reference 15

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Observation e1ef8b32-0103-4a32-bb5a-3a003c7ad77b · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.229.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models doi: 10.18653/v1/2022.acl-long.229

Reference 16

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Observation de3f9c77-703f-41cb-9519-1f6816f33f4f · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.464.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models doi: 10.18653/v1/2022.acl-long.464

Reference 17

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Observation cb78573e-757c-421e-9012-f6ef4a68e1ae · outbound

This paper cites Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Reference 19

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Observation a0465803-56a3-4b9e-aff8-9e754a4cfba5 · outbound

This paper cites Impact of pre- training term frequencies on few-shot numerical reasoning.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Impact of pre- training term frequencies on few-shot numerical reasoning

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1f3eea69-ebaa-467f-a78f-e5e394726471 · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Steering Llama 2 via Contrastive Activation Addition

Reference 21

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Observation 03dbe367-2f0d-4faf-b97d-0be9f20dd802 · outbound

This paper cites The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance

Reference 22

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Observation 0641e8ff-dd4b-4954-8876-a035258a17d3 · outbound

This paper cites Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 92ca9151-8908-489e-acb1-53bfcc52e8b6 · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.330.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models doi: 10.18653/v1/2023.emnlp-main.330

Reference 25

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Observation f64cb460-b03d-4e31-bc85-9775b9fe09a2 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 27

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Observation aecb7813-f8e1-4d43-b0ef-6b2164369a57 · outbound

This paper cites ReFT: Representation Finetuning for Language Models.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models ReFT: Representation Finetuning for Language Models

Reference 28

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Observation 0353d7c9-4ae9-4d76-98cc-7dae54684689 · outbound

This paper cites Under review.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Under review

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2f986fc5-c07e-411b-a78b-7c436acf9cac · outbound

This paper cites A.2 Ablating the unigram prior direction Past work has shown that LLMs have mechanisms for handling uncertainty (Stolfo et al., 2024).

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models A.2 Ablating the unigram prior direction Past work has shown that LLMs have mechanisms for handling uncertainty (Stolfo et al., 2024)

Reference 30

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 274252e6-9541-4218-952c-25376becb9c6 · outbound

This paper cites An Audit on the Perspectives and Challenges of Hallucinations in NLP.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models An Audit on the Perspectives and Challenges of Hallucinations in NLP

Reference 2017

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Observation 5e2a6393-960c-40d3-8787-8084092e3fee · outbound

This paper cites doi: 10.18653/v1/W18-5426.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models doi: 10.18653/v1/W18-5426

Reference 2018

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Observation cccc9871-bb1b-4a82-95ca-ca213e317ffb · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 2019

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Observation 9d227404-b267-4eb5-8484-a57e1070c07c · outbound

This paper cites doi: 10.18653/v1/2020.blackboxnlp-1.23.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models doi: 10.18653/v1/2020.blackboxnlp-1.23

Reference 2020

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Observation c503d734-a8e5-410a-b51c-38dd2849625b · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 2021

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Observation 6ec29da4-6119-49c2-9ea6-1f2af6b560b5 · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.501.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models doi: 10.18653/v1/2022.acl-long.501

Reference 2022

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Observation 49498473-e6cf-4690-b1c8-7bc634815c44 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models On the Opportunities and Risks of Foundation Models

Reference 2023

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Observation c64caa1e-794c-4bf3-81f0-95f1f11e7910 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2024

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Observation 4884e36b-3bc3-43d1-8c18-5357705d9d1b · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 2025

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Pith citing papers

Observation 8d1efa8e-dbb1-4243-a885-542f369aa2e6 · inbound

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models cites this paper.

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models

Reference 64

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arxiv_id, observed 2026-05-13T04:17:13.814261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0c97e053-f821-4713-902d-b4ac4ea3fe8f · inbound

From `May' to `Is': Certainty Distortion in Language Model Rewriting cites this paper.

From `May' to `Is': Certainty Distortion in Language Model Rewriting Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models

Reference 13

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arxiv_id, observed 2026-07-02T20:37:22.854126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T20:17:34.317147Z digest=sha256:12d59714ebefc5db91333e359852fbaba1253075589d245dd65789d949b654d1