Paper Citation Record · LEDGER

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.21063.

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

pith.paper-citation-record.v1
2607.21063 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:38:56.212972Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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Outbound references

Observation 3f9a6c22-74d6-4a08-bb84-35ff8a12fe4c · outbound

This paper cites Machine Learning with Applications , volume =.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Machine Learning with Applications , volume =

Reference 1

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Observation 86b4fd6e-5841-4487-b0fb-375370604050 · outbound

This paper cites AI , volume =.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs AI , volume =

Reference 2

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Observation f8cb789b-59b5-43e2-8db5-6d2d0ab773fc · outbound

This paper cites and Macready, William G.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs and Macready, William G

Reference 3

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics , year =

Reference 4

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Observation c4d12895-66e7-4e6f-8887-04dc599545a2 · outbound

This paper cites , title =.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs , title =

Reference 5

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs A StrongREJECT for Empty Jailbreaks

Reference 6

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Observation c49e8976-7cd6-4b3b-b13d-9e7177c0468e · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics , year =.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics , year =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:50.799792Z

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Observation be90dfcf-eb67-4096-834f-0261c2c3f69d · outbound

This paper cites CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:50.903781Z

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Observation 1a26db51-5caf-4370-99ec-985abcd42eda · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:51.075819Z

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Observation 11bcb141-c635-4ecf-a75b-c2e430c0af86 · outbound

This paper cites Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models

Reference 10

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Observation d0413ea5-8ce2-4693-b5c6-c7d99d714886 · outbound

This paper cites Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:51.305783Z

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Observation 7393f250-da7b-429c-981f-5791846c3f2f · outbound

This paper cites Certified Adversarial Robustness via Randomized Smoothing.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Certified Adversarial Robustness via Randomized Smoothing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:51.368907Z

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Observation 960741bd-d7b9-4354-a140-3f5a453f9ddf · outbound

This paper cites Up or Down? Adaptive Rounding for Post-Training Quantization.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 13

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Observation 2242ddf1-6518-4b87-b752-a1ff5cd0000f · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 14

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs and Keutzer, Kurt , title =

Reference 15

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Observation e6d720b4-1f31-4b6a-9c9a-28c1d17303ab · outbound

This paper cites An Information-Theoretic Justification for Model Pruning.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs An Information-Theoretic Justification for Model Pruning

Reference 16

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Observation d0aab9b6-35bf-41e7-be28-680228294a8f · outbound

This paper cites Beyond Perplexity: Multi-dimensional Safety Evaluation of.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Beyond Perplexity: Multi-dimensional Safety Evaluation of

Reference 17

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Observation 92910fba-2413-479b-a17a-76071b12b5ab · outbound

This paper cites Proc.\ EACL , year=.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proc.\ EACL , year=

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Observation 0d8c76db-04db-49c7-9c08-469a3e12f32f · outbound

This paper cites Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels

Reference 19

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Observation df7a63ad-737d-43ce-abc9-5b63c70543c1 · outbound

This paper cites and Lotfi, Sanae and Chen, Irene Y.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs and Lotfi, Sanae and Chen, Irene Y

Reference 20

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Observation 623d1cee-63e7-4789-8c25-74e72af45995 · outbound

This paper cites Quality Is Not a Safety Proxy Under Quantization.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Quality Is Not a Safety Proxy Under Quantization

Reference 21

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Observation 3fe690c5-a25c-409f-a33b-947bfd2625a8 · outbound

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 22

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Observation f7dbad3a-3d20-460e-8916-2d15e1e36946 · outbound

This paper cites SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Reference 23

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Observation 2f910ed4-2455-4295-a3ef-32b77fa34744 · outbound

This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Reference 24

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Observation 8e7959ea-7f4c-43b1-9a72-a654a6fc862e · outbound

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs 2023 , howpublished=

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Observation 08a8701d-f9f6-4d95-8cb4-4b92d78195b4 · outbound

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs and Andrews, Pierre and Smith, Eric Michael and Hansanti, Prangthip and Ropers, Christophe and Kalbassi, Elahe and Gao, Cynthia and Licht, Daniel and Wood, Carleigh , title=

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This paper cites MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs.

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs

Reference 27

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proc.\ NAACL , year=

Reference 28

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 29

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Observation ee7b058d-fd28-47b8-a838-b8c7c24b4e95 · outbound

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs LLM Evaluators Recognize and Favor Their Own Generations

Reference 30

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs , title=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs and Thomas, Joy A

Reference 32

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs The information bottleneck method

Reference 33

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs IEEE Information Theory Workshop (ITW) , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs and Solla, Sara A

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs , title=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs What Do Compressed Deep Neural Networks Forget?

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Characterising Bias in Compressed Models

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Toy Models of Superposition

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proc.\ EMNLP-IJCNLP , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proc.\ EACL , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proc.\ ACL , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proceedings of ACL , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Proceedings of NAACL , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Training Verifiers to Solve Math Word Problems

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Future Internet , volume =

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Findings of the Association for Computational Linguistics: ACL 2025 , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs arXiv preprint arXiv:2412.06134 , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Self-Preference Bias in LLM-as-a-Judge

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Findings of the Association for Computational Linguistics: EMNLP 2025 , year=

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Deliberative Alignment: Reasoning Enables Safer Language Models

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Pruning has a disparate impact on model accuracy

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Understanding the Effect of the Long Tail on Neural Network Compression

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs Low-Resource Languages Jailbreak GPT-4

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QuantiBias: Benchmarking Quantization-Induced Bias in LLMs 2026 , eprint =

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Pith citing papers

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