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Paper Citation Record · LEDGER

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation

As of 10 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 4 inbound Pith citation observations for arXiv:2506.22776.

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

pith.paper-citation-record.v1
2506.22776 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:10.701454Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T11:49:34.865484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:39:57.838547Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact2
  • verified fuzzy46
  • unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3d36378-1c57-4eb3-9191-e5d9b498ff92 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b54f029e-0d28-4cbc-ae19-28cbfe76c4aa · outbound

This paper cites Pruning and quantization for deep neural network accel- eration: A survey,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Pruning and quantization for deep neural network accel- eration: A survey,

Reference 2

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Observation bee7734c-a282-4027-9a09-8b72787b530e · outbound

This paper cites A survey of quantization methods for efficient neural network inference,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation A survey of quantization methods for efficient neural network inference,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fe4da36b-c8ff-49f4-9336-3dd98e94b4c8 · outbound

This paper cites A systematic literature review on the use of deep learning in software engineering research,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation A systematic literature review on the use of deep learning in software engineering research,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3f9374aa-58da-4646-a480-b7470b973557 · outbound

This paper cites Large language models for software engineering: A systematic literature review,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Large language models for software engineering: A systematic literature review,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation df71bf72-027c-47e0-9b4b-068119a7ed4d · outbound

This paper cites Deepseek coder 1.3b base bnb 4bit,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Deepseek coder 1.3b base bnb 4bit,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a2e037cf-fea6-42c2-9be9-a22a85bcd0c7 · outbound

This paper cites Meta-llama-3.1-8b bnb 4bit,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Meta-llama-3.1-8b bnb 4bit,

Reference 7

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Source-reported events for the cited work

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Observation 0f030ff3-c2d6-430a-9318-0cd5cd0b0df4 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Distilling the Knowledge in a Neural Network

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d578f59-e9a8-4b7b-bbf0-692e2128e461 · outbound

This paper cites Knod: Domain knowledge distilled tree de- coder for automated program repair,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Knod: Domain knowledge distilled tree de- coder for automated program repair,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 35ed500f-bb31-4a7c-ac62-18bc0d4d0568 · outbound

This paper cites Post-training quantization for vision trans- former,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Post-training quantization for vision trans- former,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 03ccd0d1-f416-43ba-888e-4ddef872d7ce · outbound

This paper cites Qlora: Efficient finetuning of quantized llms,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Qlora: Efficient finetuning of quantized llms,

Reference 11

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 4134d58e-7c55-44d1-9c4f-7dd8aa5f021a · outbound

This paper cites Exploiting LLM quantization,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Exploiting LLM quantization,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4a08c4b5-91a2-4d84-bcf0-39309239e04c · outbound

This paper cites Resource-Efficient & Effective Code Summarization.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Resource-Efficient & Effective Code Summarization

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6d8b735-9eb3-45f1-af07-9a145352ee38 · outbound

This paper cites Exploring parameter-efficient fine-tuning techniques for code generation with large language models,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Exploring parameter-efficient fine-tuning techniques for code generation with large language models,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 211a50c2-fedf-4ecd-91f3-0e1f15efecb6 · outbound

This paper cites Towards greener yet powerful code generation via quan- tization: An empirical study,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Towards greener yet powerful code generation via quan- tization: An empirical study,

Reference 15

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Source-reported events for the cited work

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Observation 2cadc917-51c2-47af-815e-c79444f5b71e · outbound

This paper cites Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e365213-a3eb-49d1-9d39-d25c1263391b · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Awq: Activation-aware weight quantization for on-device llm compression and acceleration,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eba36b05-a644-4cba-81d1-095b2fa26349 · outbound

This paper cites Atom: Low-bit quantization for efficient and accurate llm serving,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Atom: Low-bit quantization for efficient and accurate llm serving,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7debd548-8b9d-4013-9c3d-208595df3cab · outbound

This paper cites A large-scale survey on the usability of ai programming assistants: Successes and challenges,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation A large-scale survey on the usability of ai programming assistants: Successes and challenges,

Reference 19

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Source-reported events for the cited work

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Observation ff270431-b7aa-44f3-a792-9664a82e4757 · outbound

This paper cites An industry case study on adoption of ai-based programming assistants,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation An industry case study on adoption of ai-based programming assistants,

Reference 20

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Source-reported events for the cited work

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Observation bf83b884-8db0-4900-b02b-284b945bb501 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 21

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Observation 4a2be23f-10ca-40e6-8ee6-2b9cc678ec52 · outbound

This paper cites The Llama 3 Herd of Models.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation The Llama 3 Herd of Models

Reference 22

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Observation dea1b7cd-f940-444e-9516-0988357106c0 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Evaluating Large Language Models Trained on Code

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6a073572-1c06-4bd4-89d4-ed70dd5be1eb · outbound

This paper cites Program Synthesis with Large Language Models.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Program Synthesis with Large Language Models

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 74cf2f95-ba97-49a0-890d-e3e36dc4147b · outbound

This paper cites On the robust- ness of code generation techniques: An empirical study on github copilot,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation On the robust- ness of code generation techniques: An empirical study on github copilot,

Reference 25

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Source-reported events for the cited work

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Observation c87b024d-58cf-48db-b820-7ce6ea5723d4 · outbound

This paper cites Codeattack: Code-based ad- versarial attacks for pre-trained programming language models,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Codeattack: Code-based ad- versarial attacks for pre-trained programming language models,

Reference 26

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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 2026-08-10T06:31:04.303077+00:00.

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Observation ff44ecae-fe9c-4373-9ed4-b353ee26f1d4 · outbound

This paper cites A survey on robustness attacks for deep code models,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation A survey on robustness attacks for deep code models,

Reference 27

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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 2026-08-10T06:31:04.303077+00:00.

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Observation aa531512-a257-4c65-9c14-30a25d4c013d · outbound

This paper cites Attacks and defenses for large language models on coding tasks,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Attacks and defenses for large language models on coding tasks,

Reference 28

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 42919a53-1a57-474e-99e4-74d96d2a0974 · outbound

This paper cites Attacks and defenses for large language models on coding tasks,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Attacks and defenses for large language models on coding tasks,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a697d07e-a5e0-444d-bd92-afff43aa6f8b · outbound

This paper cites Codegen: An open large language model for code with multi-turn program synthesis,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Codegen: An open large language model for code with multi-turn program synthesis,

Reference 30

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 1047f086-7e6d-44e9-bca1-72b2ef3cefde · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b5a6a3eb-cd55-41b5-86c1-88c6f87f715c · outbound

This paper cites Exploring the Robustness of Large Language Models for Solving Programming Problems.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Exploring the Robustness of Large Language Models for Solving Programming Problems

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 073ece53-54bd-455f-8ff4-0ebf295059e4 · outbound

This paper cites On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83363841-edfb-4bd5-9e1e-8491a2375e01 · outbound

This paper cites Evaluating and enhancing the robustness of code pre- trained models through structure-aware adversarial sam- ples generation,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Evaluating and enhancing the robustness of code pre- trained models through structure-aware adversarial sam- ples generation,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T22:05:15.053341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:07.979833Z digest=sha256:79518a7f912ceb0183be91d4a2d1c3eb403346fbe25b4b762bb74cffc59fb5cb

Observation 83628a02-1d30-48a0-ab2a-78ee26317a02 · outbound

This paper cites Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:08.052305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:08.052305Z digest=sha256:907d7b37d9b468da25abd2d0bda3faadae761f75136e9ac449ce4b9a645a225c

Observation 187c350f-4999-44a0-95aa-2b2e47d9498f · outbound

This paper cites Demonstration Attack against In-Context Learning for Code Intelligence.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Demonstration Attack against In-Context Learning for Code Intelligence

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:05:11.034227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.152405Z digest=sha256:92aa54a090e91b69365a9ed261682fe84aa2707ef354177b46fbafc59c071807

Observation f368513e-62be-429c-b8f5-4418d683493e · outbound

This paper cites Alanca: Active learning guided adversarial attacks for code comprehension on diverse pre-trained and large language models,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Alanca: Active learning guided adversarial attacks for code comprehension on diverse pre-trained and large language models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:14.819711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.210012Z digest=sha256:abbd5596e16b8bc9dfc485bb53f422d1f2b87726dab12180cae408a5b96b2ba6

Observation ce779412-308d-47fe-9cb6-352fb5d609b5 · outbound

This paper cites Attribution-guided adversarial code prompt generation for code completion models,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Attribution-guided adversarial code prompt generation for code completion models,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:14.533498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.298353Z digest=sha256:65bbffecbac9b6cb3296dcb9901c372ae8f2c8910b9c032e2dfa6b37c6939c4b

Observation 08492e49-da37-4ee8-a293-73cfb9f6219e · outbound

This paper cites Enhancing robustness of ai offensive code generators via data augmentation,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Enhancing robustness of ai offensive code generators via data augmentation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:14.336170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.357171Z digest=sha256:8d0c6b2736201dbf4c0e2d06de77909e640b25e800e18e107720283edfbd43ce

Observation 5c99cb10-3345-466f-b96c-f99e27648c20 · outbound

This paper cites LoRD: Low-rank decomposition of monolingual code LLMs for one-shot compression,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation LoRD: Low-rank decomposition of monolingual code LLMs for one-shot compression,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:14.224444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.439138Z digest=sha256:fc0f1a7fecd3da74290cbdee12e6c4752eb7256dfc2216ade8e566a4ba3fa432

Observation cb61ab0d-7b86-4540-8dcb-5f5c48def5e8 · outbound

This paper cites Full stack optimization of transformer inference,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Full stack optimization of transformer inference,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:14.124473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.505706Z digest=sha256:94ba3624440d9b4edd4081c0ba73b7e483ee1d496ab4efb61373fd28e3c4dd2d

Observation c1779c51-f289-4c7f-9fa5-c8b5abd58bd8 · outbound

This paper cites A White Paper on Neural Network Quantization.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation A White Paper on Neural Network Quantization

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:08.615014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:08.615014Z digest=sha256:dce3c8323103fe7901b3625b64d8a2dd58ddcf510f17dc7b1be563127b8e607b

Observation 5c98c8f0-5af0-4e69-840b-50f43a11f9d6 · outbound

This paper cites Q-bert: Hessian based ultra low precision quantization of bert,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Q-bert: Hessian based ultra low precision quantization of bert,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:14.029821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.695627Z digest=sha256:9715bbc2d3c16708a8a97c4cb23be78de6293864685620278207787b481dd6b5

Observation bfca5ac9-9f15-4a84-acad-f96f0211984a · outbound

This paper cites OPTQ: Accurate quantization for generative pre-trained transformers,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation OPTQ: Accurate quantization for generative pre-trained transformers,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.927170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.750350Z digest=sha256:e212267b8289deada861991067d9515a32bf007e2aed90a22f7dacdcccb156ff

Observation d7c658c6-2512-4684-9fde-08aca472c5f9 · outbound

This paper cites Gpt3. int8 (): 8-bit matrix multiplication for transform- ers at scale,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Gpt3. int8 (): 8-bit matrix multiplication for transform- ers at scale,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.846870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.815407Z digest=sha256:0395c0330d7f89d55dde67704313d31fdec3b7d92d07e84e75d6b78d0049b758

Observation 713c2942-bf95-4ba7-8349-17a8387b76e3 · outbound

This paper cites 8-bit optimizers via block-wise quantization,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation 8-bit optimizers via block-wise quantization,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.737012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.906184Z digest=sha256:1f2d8ec76a8e9cc41320055da7d166f70ea1f7f95f182864e480935c3c586b11

Observation de591c61-69a3-4589-9a85-9a32048546bf · outbound

This paper cites an unresolved cited work.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:05:13.546648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.061943Z digest=sha256:bc5595d77b462698b65e5fd6747c852587c6cf4cddb2887f020b1099b4afd705

Observation 685a89fa-80b1-4d53-8f2e-3457f3384e60 · outbound

This paper cites Wordnet: a lexical database for english,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Wordnet: a lexical database for english,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.440874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.125357Z digest=sha256:ba25663e0b4967aa5dec6befd3dc6cf9260176d3c3b9f07162c90cc0ed2e30b6

Observation becc8813-e546-48fd-8468-52a357cc5582 · outbound

This paper cites Analyzing the noise robustness of deep neural networks,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Analyzing the noise robustness of deep neural networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.353452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.213889Z digest=sha256:4850176fd768f148dc9d46d73c7b36059f38f98ba3e464639266f7d2e814b2ab

Observation 785e3f1b-29ee-48be-b76d-a8dc7822aadc · outbound

This paper cites What makes quantization for large language model hard? an empirical study from the lens of perturbation,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation What makes quantization for large language model hard? an empirical study from the lens of perturbation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.229392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.261407Z digest=sha256:7cedb265f8d77abb1915898cb2ec122dbf3418976c02cbc264a6a2aba215becf

Observation 4cbab650-9358-46d4-a5f0-779011170ddd · outbound

This paper cites Noisy neighbors: Efficient membership inference attacks against LLMs,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Noisy neighbors: Efficient membership inference attacks against LLMs,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.135099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.346848Z digest=sha256:bf2b92a6573368ebf3f1cd38da25956c3ea39d01e869c656f0fb02a3d5956aed

Observation 6a88c464-3673-45cd-bc6f-b89b820a9f1f · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Benchmarking neural network robustness to common corruptions and perturbations,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.008332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.440650Z digest=sha256:33d0cfa2a3ee4f1a69b639c232ce5764f65282abb56369863ad80785e188868d

Observation d48e40da-eb41-4111-853c-04a7ed93b159 · outbound

This paper cites On adaptive attacks to adversarial example defenses,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation On adaptive attacks to adversarial example defenses,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:12.887930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.546528Z digest=sha256:3d896e414f9427c9d44f3e29b0f9ef580b3c8d2df47019156a5368c23dbe57fe

Observation 6078105d-16db-4a4a-b329-20d47cfec1f5 · outbound

This paper cites Evaluat- ing model robustness and stability to dataset shift,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Evaluat- ing model robustness and stability to dataset shift,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:12.779818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.643218Z digest=sha256:14968f81ae0feca3d6b5c06a6e4e605e46353c0200b126911cc6a548de88e223

Observation 01b31939-1fde-44d8-a0cf-31b9a24e9236 · outbound

This paper cites Attacks which do not kill training make adversarial learning stronger,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Attacks which do not kill training make adversarial learning stronger,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:12.654013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.787174Z digest=sha256:5be31c1b47ae900b21d7ba3651c4d1b9bf72b6732d96d487e204453d965facd7

Observation b6fe8411-1812-4582-a18c-d95d30030067 · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation A baseline for detecting misclassified and out-of-distribution examples in neural networks,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:12.528291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:09.858636Z digest=sha256:abeb4fb48f86e0d0dfbddfb880f61f25a58b254ff0b8e206a02d0b51080ec23e

Observation 91f00a28-b910-471b-99ff-e264b486e8b7 · outbound

This paper cites Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:09.947670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:09.947670Z digest=sha256:ac2db8cf510677d691c72634dbd9ea00649457ea6718f01920e75387a66aa10a

Observation 8ee27a18-833a-4616-bdd2-312238ebb346 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Code Llama: Open Foundation Models for Code

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:10.033548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:10.033548Z digest=sha256:48fbdeda738d201ffc250cece93ed76daf611e3028b6a3925108ad8e5b82e293

Observation e09d86d0-8bff-47bf-a87b-33ec93b30930 · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with gener- ative pre-trained models,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Codereval: A benchmark of pragmatic code generation with gener- ative pre-trained models,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:12.330504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:10.141987Z digest=sha256:34829490de60ebd62af5e03969f2fabdc96b28ec7b2db7d05366cb5d62542249

Observation 5e26e358-60f2-4f44-adf3-5e3e6aac79a4 · outbound

This paper cites Complexcodeeval: A benchmark for eval- uating large code models on more complex code,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Complexcodeeval: A benchmark for eval- uating large code models on more complex code,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:12.130121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:10.247671Z digest=sha256:3d5397741e1d51f649333766fce3647ea2355c287f1259917fb6a7e0f28cd598

Observation acf7ad77-ee7e-4e0c-bae0-a36f88cc7d62 · outbound

This paper cites Coderujb: An executable and unified java benchmark for practical programming scenarios,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Coderujb: An executable and unified java benchmark for practical programming scenarios,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:11.931347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:10.345752Z digest=sha256:dcecc99027e92522f1e005c667c8ce7e7d771c712dcbf3f495a7d7765b5d5327

Observation 1c8d4fd0-0b17-4e1a-81da-a90ea6095dd3 · outbound

This paper cites HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:05:10.866913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:10.431735Z digest=sha256:00be029506e391bb7d19e488325549557f93f0165e0a7b35d1852cf8a8d8ac4f

Observation 63e4a4b1-f624-4f7d-b606-908a6e5ef5ad · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:11.771016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:10.518348Z digest=sha256:bdda753ad776463f05b24a424f64e14aadd89ab34f6fc8830999d92ea56f8ea5

Observation 4429957c-c8df-47d2-b262-aaab32b3afe8 · outbound

This paper cites Robustness may be at odds with accuracy,.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Robustness may be at odds with accuracy,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:11.606763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:10.589940Z digest=sha256:3c4e9f44a0bf5d8e3e0048af4698f75c2aacb351b69891cbe752f5351ded0a22

Observation ba730ba1-4004-4622-9774-40dc03383199 · outbound

This paper cites Available: https://openreview.net/forum? id=SyxAb30cY7.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Available: https://openreview.net/forum? id=SyxAb30cY7

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:11.459218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:10.701454Z digest=sha256:4203ad6bedded465f1c7ed3aa6df63cd03a3c905185b615202bffcc95d302ad6

Observation 92e178da-1ee0-4400-94ff-7fe03c060edc · outbound

This paper cites Available: https://openreview.net/forum? id=shpkpVXzo3h.

Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Available: https://openreview.net/forum? id=shpkpVXzo3h

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:05:13.640991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:05:08.983448Z digest=sha256:afe1dd60887b53104c5094336fbd683aa47ce5aead466585ac044250147e9a33

Pith citing papers

Observation ce6ef429-1370-40ab-9e62-0d888fb80044 · inbound

Compiling Code LLMs into Lightweight Executables cites this paper.

Compiling Code LLMs into Lightweight Executables Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:28:26.169974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T23:26:03.943399Z digest=sha256:f509a6165c34b07743fbd956fbc1152493e2cbdda8f50a7be2705ed1724e24ac

Observation 8895ba49-6b5f-49c5-b916-a8551de1f54e · inbound

FloatDoor: Platform-Triggered Backdoors in LLMs cites this paper.

FloatDoor: Platform-Triggered Backdoors in LLMs Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:49:22.462882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T20:10:50.750555Z digest=sha256:851026aa9b223fe1d278f5d077b8ea69fd70c9acff32c0f5beb06eaf1027bf40

Observation fc5e7fbb-2ffa-4807-ae5d-354b9c3b20dc · inbound

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair cites this paper.

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:39:57.840214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T03:10:37.068739Z digest=sha256:ce530db7d39e8ef3337e4955365c20943ef4c47fb94b1cd269928fed82569fe9

Observation 9b93b6ac-6e5a-4fb3-8568-caf7eef7146c · inbound

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair cites this paper.

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-12T11:49:34.865484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:49:34.865484Z digest=sha256:fcda619db6b0384d108dffb65db3e8c1f59207392a39a7873e7c3f03deafa1a6