Pith. sign in

Paper Citation Record · LEDGER

Do Biased Models Have Biased Thoughts?

As of 15 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 2026-08-14T06:32:32.682623+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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:22.942297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:22.942297Z digest=sha256:3b46085d63c36312f002dd6a1d338acb9756838d51840cbb0e8494f1ce172826

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:23.008455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:23.008455Z digest=sha256:06c38ca4493ad5427e793ad6d1d4525222a97a2d0e72bd0122262d466441d7ec

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:23.095818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:23.095818Z digest=sha256:24b2ee931aa7d3bb3daff926c132f24815c03839d065efe62a5b2e88755232f4

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:23.175027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:23.175027Z digest=sha256:58678a39cd778adc69cab60d9011e3da906e5c1115721c7b8b32351a0d634ad3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.725931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:23.233417Z digest=sha256:d5354c1e01d944cd3dfe3a8df6f8b919c7f4a4fe61683b77044950bb8c14701c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.710923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:23.310506Z digest=sha256:f32a71bfd70a07bc76e7b4be8ef0f2f0e82941126b38261068c309911ca96a70

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.697489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:23.383697Z digest=sha256:a2f9fe2fee33455f1201db00a10b41fe0b50af095b2f3808f2579b3a90d1ac77

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

Resolution
verified exact
doi, observed 2026-08-05T22:39:28.964324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:23.446308Z digest=sha256:35d1b619ef895c230cbecafabbcbbcc7642d28aa72d9dd3603c2f5e3edcef17d

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:23.511097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:23.511097Z digest=sha256:25d8e43806cd760f35d2241acb5482bbdf06ff69290482546625d9b6dd76ef42

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:23.573031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:23.573031Z digest=sha256:6a493b634e1e7056bd19014d634b3fa2b59937d6ecdac40833d5162cd3bfdb53

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:23.688034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:23.688034Z digest=sha256:24c4caea5d219dc327cfdedee1b341da91ab3fae916ceae6cdbc121710c74445

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:23.840852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:23.840852Z digest=sha256:64d7f4f6d5941f29ecdad2f27fb1c585faaa47c023dba6a5fb33d65e9c56b534

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.663826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:23.932507Z digest=sha256:5bde7b0a02e5cddaa513711ca196c9fd0e45b8f279d52cbe414c3646d4374ab1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.649746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:24.000538Z digest=sha256:9c1afe5a1441585a6f1226c927b728a223a96f193298eddb1e4b818e321740e3

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.063226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.063226Z digest=sha256:dacfd0c8739e4c7b3841581bd38fb85eb2b98a17776e19789cb22a9760cd0f68

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.145594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.145594Z digest=sha256:059aafdb3d9e8a4603e43497a10536cc13d9fe8c4247813a8ecaad0e363cc541

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.215865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.215865Z digest=sha256:06219f8488c24c58b14f11ad3215bc28b10e69b6dceb489ae80ae21b558021b7

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.298704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.298704Z digest=sha256:324188fc4e6abbe8fe222c77f383a7e9857ab64ad973a913a6b6783814c218d7

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.380401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.380401Z digest=sha256:39a5ea83bb3d2e6ec1f17342f2b81ea3686b4230a3b072e52e947e6d9ff65a93

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.626277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:24.444743Z digest=sha256:6741d086c1dcaa4f19af0e356b5fd1b433804e5441a39a8e0c912453cf664fcc

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

This paper cites Mistral 7B.

Do Biased Models Have Biased Thoughts? Mistral 7B

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.524586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.524586Z digest=sha256:dc25e649ac6897d51a753d14bd7f29a1960fb69ed9932000b2a55304896ab4c4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.612813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:24.600305Z digest=sha256:632654c73c9f10e43caf8ed45ef04ae31a87e906c79311ff061509e5ef2e4621

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

This paper cites an unresolved cited work.

Do Biased Models Have Biased Thoughts? Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:39:29.599198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:24.662643Z digest=sha256:3db4e54b19c9baca86854971729cd3c95f11058a97f8995de3a2b52503339d45

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.766325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.766325Z digest=sha256:e60ca9f7fc7f3ddaca35fe0afae0956d32e1975c5bdacd38a9b18a881dfa5c31

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.845572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.845572Z digest=sha256:6d5b77927dbac2b228d7ced402863aea1d914ced1beaaad630d923d9f06c9b7f

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.895367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.895367Z digest=sha256:8607e0a11ad081c8688bf1be2346e48e48af2b72186b501e18b057b4800e0c6e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.586470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:24.899407Z digest=sha256:25893b9f4d7956f4ab471c72cd18b99a09fd5fb7d36cfaa71dddec0c1726d318

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:39:24.903673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:39:24.903673Z digest=sha256:34fb0ed5ea725366257746a5d98f9c3d67dd14d3453d7d132802233d520a0837

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.573157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.016403Z digest=sha256:154852335183b5755ea4305f05a80ba7051c05fec0131524647fb19ede9d00c2

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

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:39:29.071392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.114165Z digest=sha256:d828172c95afd1b7238540752cfce3610ac0af3279c3951d0063e7a696664008

Observation 3aa81efd-4755-4c4d-b476-c7309ca23e1e · outbound

This paper cites BRIO : Bringing order to abstractive summarization.

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

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.558498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.266334Z digest=sha256:6ca6ba7a3eba2a49b6a552c5389541586e6b9b55b78cbac092566245a7825d74

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.544591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.368913Z digest=sha256:63e98a5f316f190712c4881989c559d00c9c0b61f497d141d59d548044660689

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.497134Z digest=sha256:e2fdaf2ca80964a7df05c547aea230d364cc4f82ce919134427a6f7c5118a14f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.517730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.590340Z digest=sha256:42fb91e369a93d364b8cbf12d5cf05e7aad31fa0eaab4a37dbcb390c2666869d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.503774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.685713Z digest=sha256:4717f7173f0b9c34393d03c5ff8186772a1f7fb6f100499b0a5ea7fadeac3dbc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:39:29.489576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:25.842199Z digest=sha256:7d8c192184c456fae401b655a51e7f99a22d3ac37fdbf0d52ba41441672ed965

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

Resolution
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=sha256:42f84db1c1a460a84ad9151534dcab7ae5f222f550519f0cfcd09d8fa4402321

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

Resolution
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=sha256:65e305baf04b5bdfe470b55b2e4de487078e37ea57e63226499e768bc07475ef

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.225148Z digest=sha256:6ecb26afc856de3f9508f0167a8e1c72a30c0f3a9a3c08c62962a3e3427b6186

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.400884Z digest=sha256:ecf51b5214db1672727f4742fe8e97e7c94554ae8c3847e0af0e553265c13f4c

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:bb8c13eb43656ababb99de7ca15ab06b64a3702ced0ca99c83765351499c1c9a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.738580Z digest=sha256:d375469c3a28007f86fb20b1dc1e90459d959d0e81c5c0a1c40f06df32d831d3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:26.827851Z digest=sha256:47451de0bea032006b5ddb8aa9f50dea142512b51657555cf584c506502cdf74

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

Resolution
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:c77b5bde3c80e549717d36cc5f0649b164e3f4b44f72f1451de9bd7017634ab4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.085928Z digest=sha256:3976ae5841a82c2edf90454daf9e189c739cf8a83a85794b120c2ab8c3f1dadf

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:fdb447e8311af975eab3de09ffc54e0009e221f155bb2c63c4e12436077f0f77

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.353196Z digest=sha256:f6b7e24c17f151666b31787a7303028bf87f8a41ebd47db3aefce43bd56387fa

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

Resolution
unresolved
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=sha256:093ed8db62d471fe2486c9d70b388ea451bdab760a5aec8a8c7921be3c31956f

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=sha256:37d2d0940a08e87d8f3846489fe7c18824cf178fb673e00a4b0ea5d88de8d3c3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.728188Z digest=sha256:ae7eeee16ffa9c1dd0d5140751da142c1a130639bd6e4f774006b5ae80859658

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:27.814777Z digest=sha256:158e52737b64c7a037bdeebe3c04efea51969adaf2284d9f59bd5888e2fac58a

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:cdbb6bfda5b242d895c92ef5a4cba6e61c6eb08908bceef99f25226e5e9a94f0

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

Resolution
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=sha256:243e6e3d200d878ca0b03304a2472a67f2a5981d97042f36b0dd110a5fe35bf4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.192593Z digest=sha256:d70aaed40386f63e6b0ec64b15cfac0799c34cbe268a811980c3ba9c7aac1cbb

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=sha256:7dce700434ca4583e3855153636e734ab07f4ee61108643f9f3d2912b81830ad

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.378030Z digest=sha256:a7a49838f03a83f281ce99b62c26151ac73ac32df0d1ed0aa7f7eb088ed5556f

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=sha256:9961cdf4bc222b1cb0d9535eea96d549da4d9ffe3a220df8bd9f4cc031be4d4a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.649621Z digest=sha256:6bf40a435d9f50208aaf37dabb86d9fb393764c923cc422e8bea4f4aac74a2cd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.751142Z digest=sha256:afe32948dd1b1c55a3148e4063427bbb64e9db25751b645f6229940ea5c63130

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=sha256:7db5668f043eed79589ab7f42224280189cc4f5f4217dddf4a8ab155b0931cc7

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:a13d3e453a95d10e1f9396da43f82d6295b6f626c2ddbd38360fb704a52dcf4e

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:d898d8141c795154a4ae5a5fb80500bd8a44e69fc47b20cff7d88ceaab458366

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=sha256:05b6b80ac735248c4c3018410715de0858de43ea768acbfb9db8ee77db573dab

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.801642Z digest=sha256:e952a9a2cdadc676ba1a0e139cad56e0de904b18ee5cf4f6e04e752348fcf138

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.806022Z digest=sha256:a9759ab08bc125c99b68d28ec7de1d32d4ccfbd321889cb8ec38f51151a9194b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T22:39:28.810155Z digest=sha256:2834119cdef80a5231ee1bf0676e1305f17e212fc0589dbb86e6aa71c26058a7

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:db69fec37bf7a3ce9da93f1179ada1ffb9d599ea9ee6b9e962ddc6a172397c8b

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=sha256:85ff0e6ddda1faba610993fbeb02ad45a2a7679494308e8abdb141928627795a

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

This paper cites @esa (Ref.

Do Biased Models Have Biased Thoughts? @esa (Ref

Reference 70

Resolution
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=sha256:33110c21cf59a92c890dd042195c3fd702385a79c24f31c666d64eab7ca30bc3

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:f354bb2fcb92f46b4471abceb1c344e4f12a6f7ca86c127e306ad141c5a32dcd

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=sha256:9d478de71ae44d70a4fcbadee1285242af906f2c5b7ce9d21bf5404f78e694ee

Pith citing papers

No inbound Pith citation observations are available.