Paper Citation Record · LEDGER

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

As of 7 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.

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measured 70 of 70 standing notices

One-hop event checks from named stored sources.

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

Reference 12

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

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

Reference 22

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

Reference 23

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

Reference 24

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

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

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

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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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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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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

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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

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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,

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

Reference 38

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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

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

Reference 40

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

Reference 41

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

Reference 42

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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

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

Reference 44

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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

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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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

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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

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

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