Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:10.701454Z
Paper Citation Record · LEDGER
Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
As of 15 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T11:49:34.865484Z
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
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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
- Resolution
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Source-reported events for the cited work
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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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Source-reported events for the cited work
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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
- Resolution
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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
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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
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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
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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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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
- Resolution
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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.
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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
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Observation ff270431-b7aa-44f3-a792-9664a82e4757 · outbound
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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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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
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Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation The Llama 3 Herd of Models
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation dea1b7cd-f940-444e-9516-0988357106c0 · outbound
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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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Observation 6a073572-1c06-4bd4-89d4-ed70dd5be1eb · outbound
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Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Program Synthesis with Large Language Models
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 74cf2f95-ba97-49a0-890d-e3e36dc4147b · outbound
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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
- Resolution
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Source-reported events for the cited work
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Observation c87b024d-58cf-48db-b820-7ce6ea5723d4 · outbound
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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
- Resolution
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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
- Resolution
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Source-reported events for the cited work
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Observation aa531512-a257-4c65-9c14-30a25d4c013d · outbound
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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
- Resolution
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Source-reported events for the cited work
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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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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
- Resolution
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Source-reported events for the cited work
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Observation 1047f086-7e6d-44e9-bca1-72b2ef3cefde · outbound
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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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Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Exploring the Robustness of Large Language Models for Solving Programming Problems
Reference 32
- Resolution
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Source-reported events for the cited work
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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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Source-reported events for the cited work
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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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Source-reported events for the cited work
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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
Reference 35
- Resolution
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Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Demonstration Attack against In-Context Learning for Code Intelligence
Reference 36
- Resolution
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Source-reported events for the cited work
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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
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Observation ce779412-308d-47fe-9cb6-352fb5d609b5 · outbound
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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
- Resolution
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Source-reported events for the cited work
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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
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Source-reported events for the cited work
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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
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Source-reported events for the cited work
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Observation cb61ab0d-7b86-4540-8dcb-5f5c48def5e8 · outbound
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Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation Full stack optimization of transformer inference,
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation c1779c51-f289-4c7f-9fa5-c8b5abd58bd8 · outbound
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Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation A White Paper on Neural Network Quantization
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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.
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.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.