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Paper Citation Record · LEDGER

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2601.12033.

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

pith.paper-citation-record.v1
2601.12033 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:59:54.315135Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:38:51.305783Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ea122f8-5d66-4fcc-a5ad-c7813140505b · outbound

This paper cites HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model Alignment.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection HarmLevelBench: Evaluating Harm-Level Compliance and the Impact of Quantization on Model Alignment

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T09:59:48.619365Z digest=sha256:8ddd33638184281b5d902d84d9cdcd9ba34501ad1650ac31ce68ba40d0404730

Observation 1a533de3-8772-416e-8476-294702510aad · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-03T09:59:48.762503Z digest=sha256:c23be2f48714c539f2577f049fce18da0fa19c0112cfd8a2c4b05b2251a7f0cd

Observation 275c767d-c292-44e5-bdfb-4fb77b4dc89d · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-03T09:59:48.905721Z digest=sha256:a66e6921fbd6d3165c3ddc60d2ce409925ecf6e032101218a63ac850de7849b0

Observation e9aaec69-b466-4565-b5a4-6d5e3e11a26f · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-03T09:59:49.009016Z digest=sha256:6eface578a134bc8f1c2134ab9b7e18407be9f5fd073bad772db481c23fb5dd0

Observation aaa60c27-d521-4a04-b121-bba2fcd19f94 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-03T09:59:49.207387Z digest=sha256:43caecaf08df942b3a8dd54e9821c3e21f9c4c7aaaddf06069f1c69e8b4c99d4

Observation ecabd14c-7802-4456-b1d5-585e2a8fba68 · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 6

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source=arxiv_source observed=2026-08-03T09:59:49.316725Z digest=sha256:21b05d45dd2a5a9afdb4df4c9019b173fb715e0a68a78ae0a7c4734e667ca544

Observation ac251906-21a9-4376-bd69-7303d59d0587 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 7

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arxiv_id, observed 2026-08-03T10:03:34.952864Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-03T09:59:49.435853Z digest=sha256:ed550b6efcb12c73afe18c15606336585fb915a42099375e8449eb6ebda80c6a

Observation cedde8f5-136d-455c-88c8-9f41d03bb132 · outbound

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

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 8

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source=arxiv_source observed=2026-08-03T09:59:49.540814Z digest=sha256:fb2568b16959f083141a44a4a7c985df43f71148cd7d6bee40e380bc8c4283d1

Observation 1383c05b-0678-4522-a08c-a6cd3466cec5 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 9

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doi, observed 2026-08-03T10:03:34.668376Z

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source=arxiv_source observed=2026-08-03T09:59:49.641867Z digest=sha256:1dbdc6675582d86f0022f3c76692e9adc4fb37abb07451c63de4b447a47c5f7f

Observation 74f2b1d2-31b9-40d7-94ff-c0cb045bfa3d · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-03T09:59:49.720387Z digest=sha256:37b65ca954b5af69d33e25d96250b1f150f25280d992e53bd282f445e5ed2b9a

Observation 5b8a0c6e-009e-41b5-bcfa-a9af94c82fce · outbound

This paper cites Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, and Bo Li.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, and Bo Li

Reference 11

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source=arxiv_source observed=2026-08-03T09:59:49.825810Z digest=sha256:04688f81a14914c1de9ae834904f065bbc804f52bf1850b1b23b2b1132890c9e

Observation bc59ebab-6010-403f-a459-210a61b87612 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-03T09:59:49.912817Z digest=sha256:d7f72cfd214aa197da10275c118702faeb6233b5f01c7aa3d4fa344caa89f46e

Observation 9fcca3aa-2386-4b0c-8ae7-f8d15ed3be90 · outbound

This paper cites A Survey on Hardware Accelerators for Large Language Models.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection A Survey on Hardware Accelerators for Large Language Models

Reference 13

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source=arxiv_source observed=2026-08-03T09:59:50.101065Z digest=sha256:faafbf5b65e15de8ce24b7948d6edaf3838d981648ce4f03b357f56c5c895348

Observation 3820d1fe-f91f-428f-920e-d2f4b98dc854 · outbound

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

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models

Reference 14

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source=arxiv_source observed=2026-08-03T09:59:50.242872Z digest=sha256:80a691131bafbf4f8b9042711019271e3b891603c37b1c7c1ba98e0be5b9692b

Observation 40d070d4-7027-4a9a-80ae-d6af211abbdd · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Overcoming catastrophic forgetting in neural networks

Reference 15

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source=arxiv_source observed=2026-08-03T09:59:50.384339Z digest=sha256:1c636707a9e80213265af674e4428507a411a6e2c78267bc4d7125ea0f44a83f

Observation f6efb698-e265-4478-a94b-900829a13e1c · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 16

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

source=arxiv_source observed=2026-08-03T09:59:50.531951Z digest=sha256:981179cced53aff7cc9f5521f926315baa6de9c8f8d05cd57c6b9a15ef9a38c2

Observation e7134d6f-d6e7-48f8-8c56-d21ec9fa118f · outbound

This paper cites Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 17

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source=arxiv_source observed=2026-08-03T09:59:50.683166Z digest=sha256:f7224248cb2b52809716e8b291c0859c05c83f9db7b174ddbe674b114faa52c5

Observation 2b645f82-2674-4062-bcbc-69c890099f88 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-03T09:59:50.795312Z digest=sha256:c85ac024eae73d513729e3e4e0610daad18ac816404a8d8f8f79ee9b6ae47457

Observation 87880c45-4d06-4d39-affc-7e2301132b6b · outbound

This paper cites Hashimoto.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Hashimoto

Reference 19

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source=arxiv_source observed=2026-08-03T09:59:50.907718Z digest=sha256:e8f642dbf3a69528a09eaf82c8ed61647a10daf9f6bb00bb5c12b2c2f0b5ffeb

Observation 286081e5-1968-48c1-bada-83efe0223fe7 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-03T09:59:50.999618Z digest=sha256:0331457f5a982fc736fb1959ffad95e3d59ba5881e1b58e60900ab20edfd4fc4

Observation 07a56a87-473e-498b-842d-6074d64e8b02 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 21

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

source=arxiv_source observed=2026-08-03T09:59:51.138399Z digest=sha256:6a54af2c8ea01bff0c8e3450f13adc8d2151129484232c53adca43a802a64d02

Observation aace7c93-98b3-4836-b829-a864f11f2e37 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-03T09:59:51.241520Z digest=sha256:9e23d837576a4219c300b1757420d0a7d52e90ae9c09a2a39de4e7e8d2e3f377

Observation 6d47d542-94f9-4480-9d5d-d67c9c0aca8f · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-03T09:59:51.372565Z digest=sha256:c4f035b0bcab5c1bd80fd45fd066869c527cfba3edc78034e9d75b0b9d50a08b

Observation a821577b-ed21-41cf-af24-62c94600a9bf · outbound

This paper cites Forsyth, and Dan Hendrycks.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Forsyth, and Dan Hendrycks

Reference 24

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source=arxiv_source observed=2026-08-03T09:59:51.572194Z digest=sha256:3d02dc6d56e203a9b59d995e25d30f5e50c20246ce09e648e3742170d42f2408

Observation 5e4b91b7-1c93-4c7b-8f8c-49675e9f80c8 · outbound

This paper cites FP8 Formats for Deep Learning.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection FP8 Formats for Deep Learning

Reference 25

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source=arxiv_source observed=2026-08-03T09:59:51.734596Z digest=sha256:3663c891335ceed845b44e724591d904b7be7fddde07c97e0ca373eb860a3296

Observation 3ce8fff8-ac74-4269-b072-589b5cf26759 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-03T09:59:51.850740Z digest=sha256:50bccf2543f742dbc110cf6d50f8cd4a7e6f2cfbd3a705d6061760bc6761fc81

Observation 4e8a6fec-5bee-41ff-b0bc-b360b704d3c6 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-03T09:59:51.979323Z digest=sha256:601746b6b183295043f9d0f5a931534fd461b2f26270f43f296348d5bda264e7

Observation 1e5947e9-1a20-4864-a760-c7a5af8deaab · outbound

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

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs

Reference 28

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source=arxiv_source observed=2026-08-03T09:59:52.166642Z digest=sha256:c85ab30f7ce788c6d2af06167b466a93e2aad0abdd9bc54500162e89f0dbe823

Observation b9e1f81c-a7b8-4236-ae26-4125eaeb5b8c · outbound

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Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-03T09:59:52.309352Z digest=sha256:74d7a1b4c7629c3c64ea1f78669f2e3bf324076a37b33cd0ca3cc35ace82e97f

Observation fba7fc8b-cfd8-41a5-b796-3532674c226d · outbound

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Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-03T09:59:52.402804Z digest=sha256:382723b292e6b622ed4d4bac6434ebfe54b1ed70afa6d4d3773c807ceb9e7d07

Observation 8b4c5cc8-b0dc-496d-85db-47a63512fe7e · outbound

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Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-03T09:59:52.511415Z digest=sha256:ad455321d4a03078d37c26d75d8404901631c611d5d41afb149c2a849215eba5

Observation 7ce2d83f-4d42-4946-9989-55664647b75b · outbound

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Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-03T09:59:52.637510Z digest=sha256:10cd119126b7da6a1eaa5f3d159ab618183fd52ec4ec06b610c14e2c79e15eec

Observation fc1f828b-4824-4dbf-8e20-c62eab45ad68 · outbound

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Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-03T09:59:52.751571Z digest=sha256:abc3f04d27a0731cc701a4d9b1ee0377c9e0332cafb5070da78d5faed17f80d1

Observation 57ba069c-5400-4f74-b235-7f60f3fa5ce9 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-03T09:59:52.868711Z digest=sha256:207fe6c71d6badca1f89b7ef3ae0ca5129b7926ee50da294880f4fffb3540c62

Observation cb2fcf7e-5bce-4b76-a9cd-2af858b7defb · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Gemini: A Family of Highly Capable Multimodal Models

Reference 35

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source=arxiv_source observed=2026-08-03T09:59:52.956894Z digest=sha256:62f8a2a4574d8e715bfa76f50db573cd6ae3bfbbb10e26d67e0d657be8b05b6b

Observation 20eb2997-1c25-4cb9-b98b-e44c5178f83a · outbound

This paper cites The Llama 3 Herd of Models.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection The Llama 3 Herd of Models

Reference 36

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source=arxiv_source observed=2026-08-03T09:59:53.029741Z digest=sha256:86ccf8ed3d46b271eef41929b7c76f6935e3269ed63d4bdb1168487e11db3d0f

Observation 35eafeb7-5be3-4833-8ca1-4dd8192eafa3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 37

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source=arxiv_source observed=2026-08-03T09:59:53.112520Z digest=sha256:e79cbed91b619a4813d1a5846358130d8e1b9dae5283caadbaf41d0aa8257c97

Observation e64740f3-ff1c-4e36-a531-b4e2ca778017 · outbound

This paper cites Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, and Bo Li.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, and Bo Li

Reference 38

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source=arxiv_source observed=2026-08-03T09:59:53.212626Z digest=sha256:9da6e11c70b81597e689169d0ff1c37ccc756e32e11f255cc2c9eb50b6a0bd7a

Observation 59398ed0-c9eb-4a43-93d0-0b1da8ce9997 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 39

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no resolver link, observed 2026-08-03T09:59:53.388080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6c8c769a-06d5-41c7-b19c-157896c5ebf5 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 40

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Unavailable: canonical work link unavailable.

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Observation 30829f59-a37f-4dd5-ac39-51aadccb99af · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 41

Resolution
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This paper cites Qwen2.5 Technical Report.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Qwen2.5 Technical Report

Reference 42

Resolution
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no resolver link, observed 2026-08-03T09:59:53.758616Z

Source-reported events for the cited work

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Observation 6319adfa-71b9-4caf-a80b-ab3bbea150f1 · outbound

This paper cites an unresolved cited work.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Unresolved cited work

Reference 43

Resolution
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Source-reported events for the cited work

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This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 44

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unresolved
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This paper cites online" 'onlinestring :=.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection online" 'onlinestring :=

Reference 45

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This paper cites write newline.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection write newline

Reference 46

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Pith citing papers

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

QuantiBias: Benchmarking Quantization-Induced Bias in LLMs cites this paper.

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

Reference 11

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