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Paper Citation Record · LEDGER

Do Biased Models Have Biased Thoughts?

As of 20 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2508.06671.

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

pith.paper-citation-record.v1
2508.06671 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:39:28.831677Z

measured 71 of 71 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

  • verified exact5
  • verified fuzzy26
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c73392c3-a59d-4204-a685-0aab1c0e25c4 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Do Biased Models Have Biased Thoughts? Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation 8c8c90a6-7dc5-4307-9623-64c15f5e7963 · outbound

This paper cites GPT-4 Technical Report.

Do Biased Models Have Biased Thoughts? GPT-4 Technical Report

Reference 2

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Observation 99b6a948-7827-4a43-8074-6068530e1bd8 · outbound

This paper cites Llama 3 model card.

Do Biased Models Have Biased Thoughts? Llama 3 model card

Reference 3

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source=arxiv_source observed=2026-08-05T22:39:23.095818Z digest=sha256:27d3a6dad63de274d3e58d04a9dc492888acb95014a1aa9de5d40d8bc5553856

Observation 456b5b65-d696-423d-88e6-18ed4689de00 · outbound

This paper cites an unresolved cited work.

Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 4

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Observation 2e7cd37b-4154-462e-bb53-31deff6fdb19 · outbound

This paper cites A large annotated corpus for learning natural language inference.

Do Biased Models Have Biased Thoughts? A large annotated corpus for learning natural language inference

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5d45a685-083d-4d39-806f-6628e28d9c1e · outbound

This paper cites On the independence of association bias and empirical fairness in language models.

Do Biased Models Have Biased Thoughts? On the independence of association bias and empirical fairness in language models

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 79bd61f6-51d6-43eb-8d84-75c71bb82317 · outbound

This paper cites Semantics derived automatically from language corpora contain human-like biases.

Do Biased Models Have Biased Thoughts? Semantics derived automatically from language corpora contain human-like biases

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e4648117-13fd-4ae3-963c-e04c4875f93d · outbound

This paper cites On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations.

Do Biased Models Have Biased Thoughts? On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:23.446308Z digest=sha256:e300d0c7501643f6711fb697feef70fbc983ec98a16f96830e163fdf50e317ec

Observation ec241453-6413-4295-8a4b-cfc9f24a63f5 · outbound

This paper cites The pascal recognising textual entailment challenge.

Do Biased Models Have Biased Thoughts? The pascal recognising textual entailment challenge

Reference 9

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Observation 81c799b5-bef2-4f95-83f7-820bedfb27c2 · outbound

This paper cites Measuring fairness with biased rulers: A comparative study on bias metrics for pre-trained language models.

Do Biased Models Have Biased Thoughts? Measuring fairness with biased rulers: A comparative study on bias metrics for pre-trained language models

Reference 10

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Observation 5fcaa525-0800-416a-a9e8-f5dcc07d0dab · outbound

This paper cites Bold: Dataset and metrics for measuring biases in open-ended language generation.

Do Biased Models Have Biased Thoughts? Bold: Dataset and metrics for measuring biases in open-ended language generation

Reference 11

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Observation 17984056-5832-42e9-92a6-da7efdad6b99 · outbound

This paper cites First-Person Fairness in Chatbots.

Do Biased Models Have Biased Thoughts? First-Person Fairness in Chatbots

Reference 13

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Observation 9208e161-bc4e-4917-b661-638d76b61d0e · outbound

This paper cites Bias and fairness in large language models: A survey.

Do Biased Models Have Biased Thoughts? Bias and fairness in large language models: A survey

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 088d33b0-3320-4574-be11-cbe22aa3c02e · outbound

This paper cites Counterfactual fairness in text classification through robustness.

Do Biased Models Have Biased Thoughts? Counterfactual fairness in text classification through robustness

Reference 15

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Source-reported events for the cited work

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Observation ede29720-bd91-4d5c-a8a6-f424df3ac9e3 · outbound

This paper cites Intrinsic bias metrics do not correlate with application bias.

Do Biased Models Have Biased Thoughts? Intrinsic bias metrics do not correlate with application bias

Reference 16

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Observation b6ddebb3-94db-4c08-b099-4c86e72f51c2 · outbound

This paper cites The Llama 3 Herd of Models.

Do Biased Models Have Biased Thoughts? The Llama 3 Herd of Models

Reference 17

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Observation 2230a5af-6dae-4161-8d68-c4e124617840 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Do Biased Models Have Biased Thoughts? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 18

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Observation 5144a9da-a89e-4346-b00e-89bf9c37d650 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Do Biased Models Have Biased Thoughts? DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 19

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Observation 77ead6dc-d9a4-40d4-bc6d-6ba1ba27760d · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Do Biased Models Have Biased Thoughts? Large Language Models Cannot Self-Correct Reasoning Yet

Reference 20

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Observation 3df8b559-b41c-4304-9ea6-0b51346596df · outbound

This paper cites Towards effective disambiguation for machine translation with large language models.

Do Biased Models Have Biased Thoughts? Towards effective disambiguation for machine translation with large language models

Reference 21

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Source-reported events for the cited work

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Observation 3c4c7849-fd94-4c2b-89ed-6a604f13eb19 · outbound

This paper cites Mistral 7B.

Do Biased Models Have Biased Thoughts? Mistral 7B

Reference 22

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Observation ee27a45c-c21f-4996-8861-eacb9dbb9844 · outbound

This paper cites Debiasing isn ' t enough! -- on the effectiveness of debiasing MLM s and their social biases in downstream tasks.

Do Biased Models Have Biased Thoughts? Debiasing isn ' t enough! -- on the effectiveness of debiasing MLM s and their social biases in downstream tasks

Reference 23

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Observation 40e390a3-d314-4e94-9c5d-6954fd5560c7 · outbound

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Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 24

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Observation 4d011400-bacd-417b-aa01-97b23dbf786e · outbound

This paper cites Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models.

Do Biased Models Have Biased Thoughts? Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models

Reference 25

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Observation 816ce210-b669-4f68-81c4-49749a1a869f · outbound

This paper cites Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models.

Do Biased Models Have Biased Thoughts? Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models

Reference 26

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Observation 256860c8-63d7-4add-a4a4-734c8481a852 · outbound

This paper cites Measuring bias in contextualized word representations.

Do Biased Models Have Biased Thoughts? Measuring bias in contextualized word representations

Reference 27

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Observation a75969db-aef4-44d6-bb9a-7f0f9aae7dc6 · outbound

This paper cites Measuring bias in contextualized word representations.

Do Biased Models Have Biased Thoughts? Measuring bias in contextualized word representations

Reference 28

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Observation 8b820803-ac2a-4675-a365-93a3ab6b0187 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Do Biased Models Have Biased Thoughts? BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 29

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Observation 3f06329f-1c37-4df6-9cc6-81f192edcafe · outbound

This paper cites Large language models for generative recommendation: A survey and visionary discussions.

Do Biased Models Have Biased Thoughts? Large language models for generative recommendation: A survey and visionary discussions

Reference 30

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verified fuzzy
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Observation 60d3a2ea-6c4e-452e-acd3-4737889fc354 · outbound

This paper cites Data Generation Using Large Language Models for Text Classification: An Empirical Case Study.

Do Biased Models Have Biased Thoughts? Data Generation Using Large Language Models for Text Classification: An Empirical Case Study

Reference 31

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This paper cites BRIO : Bringing order to abstractive summarization.

Do Biased Models Have Biased Thoughts? BRIO : Bringing order to abstractive summarization

Reference 32

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verified fuzzy
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 94f5debb-93ab-448d-855a-263bbae7de44 · outbound

This paper cites Bowman, and Rachel Rudinger.

Do Biased Models Have Biased Thoughts? Bowman, and Rachel Rudinger

Reference 33

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 343827ff-4f7b-432f-b442-b1b82bc0ec90 · outbound

This paper cites Evaluating large language models as agents in the clinic.

Do Biased Models Have Biased Thoughts? Evaluating large language models as agents in the clinic

Reference 34

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raw_fallback, observed 2026-08-05T22:39:29.531434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 969299fb-1b31-405e-be7b-0b247757a99d · outbound

This paper cites Bias against 93 stigmatized groups in masked language models and downstream sentiment classification tasks.

Do Biased Models Have Biased Thoughts? Bias against 93 stigmatized groups in masked language models and downstream sentiment classification tasks

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7dd1d8a0-277e-45dd-8f24-d9c9c454d29e · outbound

This paper cites Mark-evaluate: Assessing language generation using population estimation methods.

Do Biased Models Have Biased Thoughts? Mark-evaluate: Assessing language generation using population estimation methods

Reference 36

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.685713Z digest=sha256:8e6e28ae499a95adc4da1fa93d695337909c125f52e617c92b5b89e1d5ac6a83

Observation ec97eaa4-2d1a-4d94-b250-59f3a9f991e2 · outbound

This paper cites Hate speech detection and racial bias mitigation in social media based on bert model.

Do Biased Models Have Biased Thoughts? Hate speech detection and racial bias mitigation in social media based on bert model

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 786bc741-d211-4022-aaf2-2000459b3821 · outbound

This paper cites Stereoset: Measuring stereotypical bias in pretrained language models.

Do Biased Models Have Biased Thoughts? Stereoset: Measuring stereotypical bias in pretrained language models

Reference 38

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unresolved
no resolver link, observed 2026-08-05T22:39:25.960660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:25.960660Z digest=sha256:0b49258a6674d6ec68ac2507b441b02f7d2accf3e0c307ec6d9cd86271176073

Observation 8ecd7bb6-da0e-4a71-bddc-d3283d47b3b6 · outbound

This paper cites an unresolved cited work.

Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 39

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unresolved
no resolver link, observed 2026-08-05T22:39:26.110470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:26.110470Z digest=sha256:7b5ad794dbd7860cbd80c8cd7a8d0caca6967826bd7a7f41c9bdddba79fcb3e4

Observation 87553441-0a37-4e49-a707-2679a79d7522 · outbound

This paper cites Honest: Measuring hurtful sentence completion in language models.

Do Biased Models Have Biased Thoughts? Honest: Measuring hurtful sentence completion in language models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.466429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.225148Z digest=sha256:c8c2e4468abaa6178950d5b443c48bfef946cd452d413cef514b4d5fa12a3213

Observation d7522c2c-4c45-4474-b623-f7c9ad14252e · outbound

This paper cites To what extent have llms reshaped the legal domain so far? a scoping literature review.

Do Biased Models Have Biased Thoughts? To what extent have llms reshaped the legal domain so far? a scoping literature review

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.453114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.400884Z digest=sha256:2d81205b283e8c615de4adfb45420f974820ab3c13a824dd280e36743d7a3cfb

Observation 225f4f31-70e0-452f-ac1b-5308d8f497af · outbound

This paper cites BBQ : A hand-built bias benchmark for question answering.

Do Biased Models Have Biased Thoughts? BBQ : A hand-built bias benchmark for question answering

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:26.554589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:26.554589Z digest=sha256:a5ba26d236a5d8d0d46fea6a07484acad73be367bb52dbbae52bd96d27a785ed

Observation 1c40459e-744f-4767-a4ed-e04831ad9eb2 · outbound

This paper cites Making reasoning matter: Measuring and improving faithfulness of chain-of-thought reasoning.

Do Biased Models Have Biased Thoughts? Making reasoning matter: Measuring and improving faithfulness of chain-of-thought reasoning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.439647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.738580Z digest=sha256:4d6618197c1519e356985e2cdfeeea43c0778c054dea68f7fb932e211e39e616

Observation 64639d6e-7598-4a35-b6ed-9dd7b4096d07 · outbound

This paper cites The risk of racial bias in hate speech detection.

Do Biased Models Have Biased Thoughts? The risk of racial bias in hate speech detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.426133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.827851Z digest=sha256:0874ccad09de8da7aa6fa255a3d5915d2f240eb0abef2b7ea2041ac09bc87517

Observation 084c3be1-2440-4290-95a0-81539f2d7931 · outbound

This paper cites Chain of Logic: Rule-Based Reasoning with Large Language Models.

Do Biased Models Have Biased Thoughts? Chain of Logic: Rule-Based Reasoning with Large Language Models

Reference 45

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unresolved
no resolver link, observed 2026-08-05T22:39:26.960574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:26.960574Z digest=sha256:ce477398f2e0ee80d0de1842ec0d24d8da1698c57c3e532191eb8438d2becbbd

Observation 1ddf1d0f-69d9-429c-95ea-43612df2be44 · outbound

This paper cites Learning to generate equitable text in dialogue from biased training data.

Do Biased Models Have Biased Thoughts? Learning to generate equitable text in dialogue from biased training data

Reference 46

Resolution
verified exact
doi, observed 2026-08-05T22:39:28.915623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.085928Z digest=sha256:77707fc6251ac8541afd89d6429407e33ce03b92083b955e03b3ed011708c9bf

Observation 3599f6a2-e32a-43ed-9722-ebb649b55d54 · outbound

This paper cites I `m sorry to hear that : Finding new biases in language models with a holistic descriptor dataset.

Do Biased Models Have Biased Thoughts? I `m sorry to hear that : Finding new biases in language models with a holistic descriptor dataset

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:27.229777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:27.229777Z digest=sha256:d00a1a36090940a1cd3f428fc5523f6bf876c822a917183388b68ddfb47fdf2a

Observation 91239edf-ac43-4487-9e02-c0cd50ae5f2e · outbound

This paper cites H a R i M ^+ : Evaluating summary quality with hallucination risk.

Do Biased Models Have Biased Thoughts? H a R i M ^+ : Evaluating summary quality with hallucination risk

Reference 48

Resolution
verified exact
doi, observed 2026-08-05T22:39:29.412573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.353196Z digest=sha256:c56fd126fdc42ee5c73aa22158e0b5594f07fb13df53a7555a6aea2f63ce4dc2

Observation 9d467102-1f21-4956-acf6-dfd57f4c0f7c · outbound

This paper cites an unresolved cited work.

Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 49

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no resolver link, observed 2026-08-05T22:39:27.459144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:27.459144Z digest=sha256:2d96e3b76531603a8514386fa1385aad3f54121603b722fe925772b0545bb6ff

Observation 7f3cd4f5-4676-4ecc-ac3f-eca214d92de8 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024 b.

Do Biased Models Have Biased Thoughts? Qwen2.5: A party of foundation models, September 2024 b

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:27.613217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:27.613217Z digest=sha256:52e327ad5ec6237a514d86164f4bcc52e5be97be5be85337e7ab998887ff52fb

Observation f19bebf2-b1fb-46ab-a6de-25917530bcb1 · outbound

This paper cites Augmented SBERT : Data augmentation method for improving bi-encoders for pairwise sentence scoring tasks.

Do Biased Models Have Biased Thoughts? Augmented SBERT : Data augmentation method for improving bi-encoders for pairwise sentence scoring tasks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.389538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.728188Z digest=sha256:01b9e6cadd106c7908892aa6230eea5d1a066cd59a8a866b4849c296679dfb0e

Observation 7725b8ba-f26a-4f39-9239-69e6038bd37a · outbound

This paper cites Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting.

Do Biased Models Have Biased Thoughts? Language models don’t always say what they think: Unfaithful explanations in chain-of-thought prompting

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.375343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.814777Z digest=sha256:fd29192bd07b8265361d2650df3f7dd9e13d6a870ed73f3f1f5a720d56fc43ef

Observation 02470f9d-6a4f-46fa-802f-d376bd4d7f73 · outbound

This paper cites Language models don't always say what they think: Unfaithful explanations in chain-of-thought prompting.

Do Biased Models Have Biased Thoughts? Language models don't always say what they think: Unfaithful explanations in chain-of-thought prompting

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:27.950869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:27.950869Z digest=sha256:8b95c584eeacd931ddf3035092d5565d61a390bc6c3cc44543db877fe54fa306

Observation 240afa34-a1fe-46c9-a726-ea6ec02e62c6 · outbound

This paper cites Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation.

Do Biased Models Have Biased Thoughts? Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation

Reference 54

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unresolved
no resolver link, observed 2026-08-05T22:39:28.084796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.084796Z digest=sha256:c52d1b5437dce964849d6940496a2e15f62cd6c5a0bafbbee59a82ecdbd8bff3

Observation 054f1921-95b4-487c-acd9-d0e0df1de3ff · outbound

This paper cites Towards understanding chain-of-thought prompting: An empirical study of what matters.

Do Biased Models Have Biased Thoughts? Towards understanding chain-of-thought prompting: An empirical study of what matters

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.352550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.192593Z digest=sha256:35cb730c01788feb99fba559fdf3f5ebc289d6710e672cd9114b3a4d1a4aab57

Observation 5559d94f-2374-41a3-a836-c0e5c5e0579f · outbound

This paper cites Document-level machine translation with large language models.

Do Biased Models Have Biased Thoughts? Document-level machine translation with large language models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.270447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.270447Z digest=sha256:ba3009ec0b84eda56f5b0a791fbd10b5f576f5fcaa96f80cf6cc64ed3d542916

Observation 38294ca1-a0cb-4f6e-b2f3-559dd9e6a0dc · outbound

This paper cites Measuring and reducing gendered correlations in pre-trained models.

Do Biased Models Have Biased Thoughts? Measuring and reducing gendered correlations in pre-trained models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.339277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.378030Z digest=sha256:d1a2a20bbbd8be73a974bcb9fed2e98b381c4a600f4c46f36ad865a5b57b60b5

Observation 3981958a-f2cc-42ca-8506-360b06563f66 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Do Biased Models Have Biased Thoughts? Chain-of-thought prompting elicits reasoning in large language models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.480534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.480534Z digest=sha256:4dcae12b0ff8311cc85e93db820fc9c13f34d3ab94e4077877302ce68324a6d1

Observation 2bfb6f3f-b7e2-47be-963a-2be7d80dc679 · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

Do Biased Models Have Biased Thoughts? A broad-coverage challenge corpus for sentence understanding through inference

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.317314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.649621Z digest=sha256:fe7cc1ded24f21a7fb9b697c4e5ae6b445818989f8566a0d26b2c4f64667af2e

Observation 96cdb921-fa3b-41e7-a195-c308abdcb75e · outbound

This paper cites Empowering news recommendation with pre-trained language models.

Do Biased Models Have Biased Thoughts? Empowering news recommendation with pre-trained language models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.304203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.751142Z digest=sha256:e8ec7e64f20776fef853b955326a9a701b10d1f169ca60eb3778b9e540760908

Observation dab45e32-8e2b-467e-9450-23a26961f7db · outbound

This paper cites m T 5: A massively multilingual pre-trained text-to-text transformer.

Do Biased Models Have Biased Thoughts? m T 5: A massively multilingual pre-trained text-to-text transformer

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.785358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.785358Z digest=sha256:0d09ee5ad6c454c3f7e03aefc595c1cc3a82763a47a771f52ccc9421b5c5158e

Observation 8883190a-9a29-44a4-bd82-6d24a2660291 · outbound

This paper cites Improving conversational recommendation systems ' quality with context-aware item meta-information.

Do Biased Models Have Biased Thoughts? Improving conversational recommendation systems ' quality with context-aware item meta-information

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.789463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.789463Z digest=sha256:0596bc51547dfde9630e022e5ea38ee05230577b530e6fe1398e60ad33f242a1

Observation f15caa03-2a47-4c63-a938-cd5db12d5b02 · outbound

This paper cites Dissociation of Faithful and Unfaithful Reasoning in LLMs.

Do Biased Models Have Biased Thoughts? Dissociation of Faithful and Unfaithful Reasoning in LLMs

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.793358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.793358Z digest=sha256:0d34fd6a9d2dfedb0b5c43f40a966fd23c02b18d22d41a00195ab42c5c5089e9

Observation d78ba09a-eb10-4f21-873d-3e823a13cfbf · outbound

This paper cites Improve LLM-as-a-Judge Ability as a General Ability.

Do Biased Models Have Biased Thoughts? Improve LLM-as-a-Judge Ability as a General Ability

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.797475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.797475Z digest=sha256:f2684754516f4343437cd18eb1bd347a946095560a8eee8b7418c9cc4e918dd0

Observation b83cd5d4-ac4a-4a65-a0c2-6f2bb3252680 · outbound

This paper cites Should We Attend More or Less? Modulating Attention for Fairness.

Do Biased Models Have Biased Thoughts? Should We Attend More or Less? Modulating Attention for Fairness

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:39:28.994578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.801642Z digest=sha256:0375369ca5cf0848f36c9fa1889e56f659f6f193af8cfd49b9a979e1b5500836

Observation bb731675-2e10-4b0f-a233-9bba6899d345 · outbound

This paper cites an unresolved cited work.

Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:39:29.291909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.806022Z digest=sha256:7f9882142fbb474f01c533ba5d077fe2577c1331d66873cf5df15c3414b54b31

Observation ed699627-5d37-4f9d-ab13-27c5d4e3352b · outbound

This paper cites Fairness-aware structured pruning in transformers.

Do Biased Models Have Biased Thoughts? Fairness-aware structured pruning in transformers

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.278456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.810155Z digest=sha256:9e24d432b9f56a7025d613951213bb1a119e1ad101e82affd61d4795f821aec6

Observation f9bf8706-6272-4313-93c1-0314a6ed6b09 · outbound

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

Do Biased Models Have Biased Thoughts? Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.814104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.814104Z digest=sha256:a9468ab5aa7be5ca14c5d7d2aa8e92843276ee0e3650f2cd5759971be4c81ade

Observation 483117bf-0f43-4a64-a868-786a10961370 · outbound

This paper cites write newline.

Do Biased Models Have Biased Thoughts? write newline

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.818086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.818086Z digest=sha256:81719457705c992460a8ec41e278f5b6ae52dc50e47010883dedb43d6dfbe4b1

Observation c8a90353-e07f-4620-bc96-c253ad09ec0b · outbound

This paper cites @esa (Ref.

Do Biased Models Have Biased Thoughts? @esa (Ref

Reference 70

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unresolved
no resolver link, observed 2026-08-05T22:39:28.823744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.823744Z digest=sha256:f6b61e304c736194ea2bcd80afa872bbcc67588ba400ff5914dbd3c30919540f

Observation 05485bb4-eae5-4d6b-a62b-8564c2b57185 · outbound

This paper cites an unresolved cited work.

Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.827743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.827743Z digest=sha256:e0a7152821adc69c47eb4ccc3434a7d27a19cb32a2e5998915127bfd2b345cd9

Observation 6e50c7d3-a810-480f-b5a7-fd46ab1d6078 · outbound

This paper cites an unresolved cited work.

Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:28.831677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:28.831677Z digest=sha256:0bb189933b97f5c778edc6aff5c2a98bac9b5b372a5066e512dfe66238d0e03c

Pith citing papers

No inbound Pith citation observations are available.