Paper Citation Record · LEDGER

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models

As of 7 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 4 inbound Pith citation observations for arXiv:2507.09665.

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

pith.paper-citation-record.v1
2507.09665 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:56:21.976074Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:01:27.318029Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:50:31.887112Z

Reference resolution

80 of 80 outbound references displayed

verified exact1
verified fuzzy38
unresolved40
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff437aa4-6de8-4c95-99f6-fa0dc910d927 · outbound

This paper cites Large language models for software engi- neering: A systematic literature review,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Large language models for software engi- neering: A systematic literature review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.120154Z

Source-reported events for the cited work

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

Observation d80d19ce-bd9b-4669-8621-5e48e37a8165 · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A systematic literature review on the use of deep learning in software engineering research,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.113598Z

Source-reported events for the cited work

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

Observation 53744e2a-13ad-424b-9d6d-8a781b8a2e3f · outbound

This paper cites an unresolved cited work.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:56:23.107339Z

Source-reported events for the cited work

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Observation 71dac651-64ff-4f9b-a2ed-83af9ae0e739 · outbound

This paper cites GitHub Copilot – Your AI pair programmer,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models GitHub Copilot – Your AI pair programmer,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.101393Z

Source-reported events for the cited work

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

Observation 47f3e57e-bf53-4aac-b662-d4d1a796fd26 · outbound

This paper cites StarCoder: may the source be with you!.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models StarCoder: may the source be with you!

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.249514Z

Source-reported events for the cited work

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Observation 170ebe5c-8193-44a8-beac-5dcdc943210e · outbound

This paper cites Sustainable ai: Environmental implications, challenges and opportunities,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Sustainable ai: Environmental implications, challenges and opportunities,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.252017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f46a0113-af83-46b7-989c-3d793bd30d3b · outbound

This paper cites The growing energy footprint of artificial intelligence,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models The growing energy footprint of artificial intelligence,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.254476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f0c2677-a5a8-42ac-8905-5f746811b633 · outbound

This paper cites Reducing the carbon impact of generative ai inference (today and in 2035),.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Reducing the carbon impact of generative ai inference (today and in 2035),

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.087572Z

Source-reported events for the cited work

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

Observation c07aea92-73a5-43bf-82c5-40e55bf5a083 · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.258854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8cc62a-b52d-42d7-8929-54e27d22a9fa · outbound

This paper cites 8-bit Optimizers via Block-wise Quantization.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models 8-bit Optimizers via Block-wise Quantization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.261233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d229579a-ed2a-4487-a3d8-6dabbcbf51aa · outbound

This paper cites A survey of quantization methods for efficient neural network infer- ence,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A survey of quantization methods for efficient neural network infer- ence,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.081344Z

Source-reported events for the cited work

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

Observation 127f72a8-324e-4a44-94a7-86af3fafa9de · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Towards greener yet powerful code generation via quantization: An empirical study,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.075162Z

Source-reported events for the cited work

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

Observation 1e49567e-3a5a-4983-a7da-ca022529e125 · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.269932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbed0fcd-410c-4389-9f3a-4fa748737601 · outbound

This paper cites Squat: Quant Small Language Models on the Edge.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Squat: Quant Small Language Models on the Edge

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.271988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ea6b56-3111-4358-b261-22d4fd5bfa2e · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Awq: Activation-aware weight quanti- zation for on-device llm compression and acceleration,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.274078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71191839-4c8f-45da-85f3-9cba4622ef3d · outbound

This paper cites Resource-Efficient & Effective Code Summarization.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Resource-Efficient & Effective Code Summarization

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:56:22.396873Z

Source-reported events for the cited work

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

Observation 8787f186-c432-440d-aec5-d43221360530 · outbound

This paper cites A user-centered security eval- uation of copilot,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A user-centered security eval- uation of copilot,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.064214Z

Source-reported events for the cited work

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

Observation 4f9e6f7c-93c7-4034-a6d7-fcbe95cfd811 · outbound

This paper cites Is github’s copilot as bad as humans at introducing vulnerabilities in code?.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Is github’s copilot as bad as humans at introducing vulnerabilities in code?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.057721Z

Source-reported events for the cited work

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

Observation d9f3adc2-a3ac-4ac5-ab14-5d8d44d4f3d3 · outbound

This paper cites How secure is code generated by chatgpt?.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models How secure is code generated by chatgpt?

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.051118Z

Source-reported events for the cited work

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

Observation e4668d68-8762-4c4c-a762-585778a531d9 · outbound

This paper cites Quality assessment of chatgpt generated code and their use by developers,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Quality assessment of chatgpt generated code and their use by developers,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.283834Z

Source-reported events for the cited work

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Observation e7bad23d-f580-4513-8d01-d2b84e6ece88 · outbound

This paper cites Replication package,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Replication package,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.040647Z

Source-reported events for the cited work

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

Observation d7b7dc6a-90c9-44a9-bb5a-93b8897397d4 · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Codegen: An open large language model for code with multi-turn program synthesis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.034455Z

Source-reported events for the cited work

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

Observation 00c5e193-3815-4ce5-9e1c-2f73af95b1de · outbound

This paper cites Competition- level code generation with alphacode,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Competition- level code generation with alphacode,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.291914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994e587b-79c1-4236-9527-d9aea9d208f9 · outbound

This paper cites A systematic evaluation of large language models of code,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A systematic evaluation of large language models of code,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.020433Z

Source-reported events for the cited work

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

Observation d8142d07-275b-45c3-a0b7-3e849b00031d · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models The claude 3 model family: Opus, sonnet, haiku,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.014423Z

Source-reported events for the cited work

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

Observation 6c3cc73b-62a4-4789-b857-97e0391fc83c · outbound

This paper cites Gemini: A family of highly capable multimodal models,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Gemini: A family of highly capable multimodal models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.007756Z

Source-reported events for the cited work

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

Observation 827e60db-8f07-4e83-b29c-29d83251b49f · outbound

This paper cites GPT-4 Technical Report.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models GPT-4 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.305656Z

Source-reported events for the cited work

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Observation ba9548de-9bce-4bcd-983b-dd50dbb75f62 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Carbon Emissions and Large Neural Network Training

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.307803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc4e043a-93c1-4983-9b8d-68d05ec41813 · outbound

This paper cites Exploring the carbon footprint of hugging face’s ml models: A repository mining study,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Exploring the carbon footprint of hugging face’s ml models: A repository mining study,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:23.001525Z

Source-reported events for the cited work

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

Observation 5bcc3606-3b54-4062-8d88-ab0751597277 · outbound

This paper cites Energy and policy con- siderations for modern deep learning research,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Energy and policy con- siderations for modern deep learning research,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.311590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf28bea-c21d-45cd-acf9-3ebcc96a9136 · outbound

This paper cites Efficient and green large language models for software engineering: Vision and the road ahead,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Efficient and green large language models for software engineering: Vision and the road ahead,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.991651Z

Source-reported events for the cited work

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

Observation b4ac89f9-5cec-46f8-8778-f0398913346f · outbound

This paper cites Learned Step Size Quantization.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Learned Step Size Quantization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.315395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df52a01-d429-45ac-85b3-199fb02466b9 · outbound

This paper cites Zeroq: A novel zero shot quantization framework,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Zeroq: A novel zero shot quantization framework,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.984842Z

Source-reported events for the cited work

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

Observation 983c43cb-cd98-4379-87ed-93cdbddee56a · outbound

This paper cites PB-LLM: partially binarized large language models,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models PB-LLM: partially binarized large language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.978837Z

Source-reported events for the cited work

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

Observation 6ad7ef78-1556-4481-93d6-515865df8315 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.320923Z

Source-reported events for the cited work

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Observation fae01994-5dcb-45a4-9379-a3dc72e9d68b · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Smoothquant: Accurate and efficient post-training quantization for large language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.972311Z

Source-reported events for the cited work

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Observation f0d614d7-32b3-418b-a575-11db017d5c8e · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.965482Z

Source-reported events for the cited work

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

Observation 8fee1751-eec7-479b-bb76-b416a945b099 · outbound

This paper cites Do users write more insecure code with ai assistants?.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Do users write more insecure code with ai assistants?

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.958887Z

Source-reported events for the cited work

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

Observation f1bbea69-f4a2-401a-b91b-dc09ce4cfc86 · outbound

This paper cites Lost at c: A user study on the security implications of large language model code assistants,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Lost at c: A user study on the security implications of large language model code assistants,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.952410Z

Source-reported events for the cited work

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Observation f73a7c6f-a166-443b-a30e-a329a3dbb544 · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models On the robustness of code generation techniques: An empirical study on github copilot,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.945974Z

Source-reported events for the cited work

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

Observation 0aed5b4b-8f70-4b6c-b77e-b74404cbfc73 · outbound

This paper cites Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.332123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff46177d-3da0-4be2-991c-a8fc12ce3f67 · outbound

This paper cites Amazon CodeWhisperer,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Amazon CodeWhisperer,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.939919Z

Source-reported events for the cited work

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

Observation c28e186f-8928-4f8c-b250-18e4a9571fcf · outbound

This paper cites Sonarcloud,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Sonarcloud,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.934001Z

Source-reported events for the cited work

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

Observation bb67003d-0229-4029-97a5-db8e59933201 · outbound

This paper cites Codellama,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Codellama,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.927529Z

Source-reported events for the cited work

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

Observation 61b71548-2a5c-4519-bedb-91545aa2840b · outbound

This paper cites ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.339640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe9d49d-4b84-485a-9e0e-6a2596581446 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.341899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9baed1a0-14f6-453f-995b-3bf382eded12 · outbound

This paper cites Structured chain-of-thought prompting for code generation,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Structured chain-of-thought prompting for code generation,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.343652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5344aea3-884c-4e36-98e4-f66c6451c950 · outbound

This paper cites A performance study of llm- generated code on leetcode,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A performance study of llm- generated code on leetcode,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.915929Z

Source-reported events for the cited work

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

Observation 876b9082-be22-4e2a-8cc0-f8e484d4aefa · outbound

This paper cites Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.347461Z

Source-reported events for the cited work

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Observation fb2ecc9d-0c25-4357-a454-853afeebe869 · outbound

This paper cites InstructCoder: Instruction Tuning Large Language Models for Code Editing.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models InstructCoder: Instruction Tuning Large Language Models for Code Editing

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.349476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7da3877-c9e0-4b40-bace-b15b59f66cd7 · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.351730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e409cf-4c89-4200-960a-618f0dffec6e · outbound

This paper cites Language Models are Few-Shot Learners.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Language Models are Few-Shot Learners

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.353513Z

Source-reported events for the cited work

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Observation 11cf7479-9abe-4a98-9fa6-170f9bc44db8 · outbound

This paper cites Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs

Reference 57

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Observation 77ae700a-d7bb-43b3-b09b-a8ffb6203441 · outbound

This paper cites Multipl-e: a scalable and polyglot approach to benchmarking neural code generation,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Multipl-e: a scalable and polyglot approach to benchmarking neural code generation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.909677Z

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Observation fe4c7723-507e-4244-ae34-9caa193270f8 · outbound

This paper cites Program Synthesis with Large Language Models.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Program Synthesis with Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.361452Z

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Observation 5f665f4f-2361-4e70-bb51-e4870efa634a · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models McEval: Massively Multilingual Code Evaluation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.363893Z

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Observation 832c2e1a-989a-44a1-9a13-6283c64afafc · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models SALLM: Security Assessment of Generated Code

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.365711Z

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Observation 2b884dba-9f1d-4cd1-b18b-f01020a28e12 · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Pylint - code analysis for python,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.902953Z

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Observation c16f49b1-99c7-498c-af3a-76d78e9f92c3 · outbound

This paper cites Checkstyle,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Checkstyle,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.896328Z

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Observation f3fcb715-aeaf-475a-9d17-e75a28cdb5e7 · outbound

This paper cites Pmd - source code analyzer,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Pmd - source code analyzer,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.889052Z

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Observation 545f1891-3a7a-4704-9450-10481ab02b68 · outbound

This paper cites Refining chatgpt-generated code: Characterizing and mitigating code quality issues,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Refining chatgpt-generated code: Characterizing and mitigating code quality issues,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.373128Z

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This paper cites Security and quality in llm-generated code: A multi-language, multi-model analysis,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Security and quality in llm-generated code: A multi-language, multi-model analysis,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.374994Z

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Unavailable: canonical work link unavailable.

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.378448Z

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Unavailable: canonical work link unavailable.

Observation 27ac0ad8-a0c4-46d0-8171-b372babe7f16 · outbound

This paper cites Flake8: Your tool for style guide enforcement. 2021,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Flake8: Your tool for style guide enforcement. 2021,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.871592Z

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Observation 702ced68-f788-4311-a7e9-abef6e048c60 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Evaluating Large Language Models Trained on Code

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.402937Z

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Observation fea49788-9452-40ab-bcd5-b0be0ca989e8 · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Code Llama: Open Foundation Models for Code

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.416883Z

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Unavailable: canonical work link unavailable.

Observation e89249f1-4521-4f04-ac63-b61e82baffa4 · outbound

This paper cites Wizardcoder: Empowering code large language models with evol-instruct,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Wizardcoder: Empowering code large language models with evol-instruct,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.864596Z

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Observation 2bd21845-97c1-4d03-9448-02213b0feed7 · outbound

This paper cites A review on code generation with llms: Application and evaluation,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A review on code generation with llms: Application and evaluation,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.461903Z

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Unavailable: canonical work link unavailable.

Observation 3b411c2c-89b7-4f23-b29b-99979fb85343 · outbound

This paper cites Llm- based test-driven interactive code generation: User study and empirical evaluation,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Llm- based test-driven interactive code generation: User study and empirical evaluation,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.487920Z

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Observation d4b38cf0-7048-40ef-b295-11113d9cb620 · outbound

This paper cites An empirical validation of cognitive complexity as a measure of source code understandability,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models An empirical validation of cognitive complexity as a measure of source code understandability,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.850303Z

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Observation 473a8263-d039-4db5-83ca-444252978e2b · outbound

This paper cites Individual comparisons by ranking methods,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Individual comparisons by ranking methods,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.537939Z

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Observation 0f836ee3-8d55-4893-8937-54678a9ade64 · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A simple sequentially rejective multiple test procedure,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.839510Z

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Observation 9199ff99-1292-46f4-9582-0c809b0d812f · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.589866Z

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models A coefficient of agreement for nominal scales,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.828668Z

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Observation b238a985-6e44-4de4-99c6-ba8188b15581 · outbound

This paper cites Likert scale: Explored and explained,.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Likert scale: Explored and explained,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.756228Z

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Observation 76ce89f5-f6d0-443d-99e6-dccd7f9038f2 · outbound

This paper cites Calibration of Large Language Models on Code Summarization.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Calibration of Large Language Models on Code Summarization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.688996Z

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Unavailable: canonical work link unavailable.

Observation bc594b8d-96f1-4ae5-8c49-a4a64d44371c · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models On the effectiveness of large language models in statement-level code summarization,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:56:22.602548Z

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Observation 1f4a1ce6-1b06-4416-883f-e7978902615c · outbound

This paper cites Synthesizing Text-to-SQL Data from Weak and Strong LLMs.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Synthesizing Text-to-SQL Data from Weak and Strong LLMs

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.976074Z

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Unavailable: canonical work link unavailable.

Observation 8b2d7280-be42-44c6-8b06-e90b4ced959d · outbound

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Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Unresolved cited work

Reference 2023

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Unavailable: canonical work link unavailable.

Observation f1ff6f78-83e5-450b-8132-6c6b35da7c00 · outbound

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

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Gemini: A Family of Highly Capable Multimodal Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:21.303538Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 21ee5db5-97a0-429f-9db2-11f6a3ab9f54 · inbound

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? cites this paper.

A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? Is Quantization a Deal-breaker? Empirical Insights from Large Code Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:50:31.889878Z

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Observation c11b30d4-2c24-43c5-99e9-5d7f7fb4d545 · inbound

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks cites this paper.

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks Is Quantization a Deal-breaker? Empirical Insights from Large Code Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T09:01:27.318029Z

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Observation c2cdc3b1-1881-49ed-8083-66ff35b59884 · inbound

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs cites this paper.

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs Is Quantization a Deal-breaker? Empirical Insights from Large Code Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:10.382014Z

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Observation fd033c7f-9176-4bfb-887a-f24297d494db · inbound

Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality cites this paper.

Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality Is Quantization a Deal-breaker? Empirical Insights from Large Code Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T01:01:33.274970Z

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Unavailable: canonical work link unavailable.