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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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

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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 2026-08-09T06:31:02.800959+00:00.

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.242084Z digest=sha256:d1027d3d901a30a9113fe0205cd31b9f36af3d1c15acd8628dc2caab7f497fc1

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.247228Z digest=sha256:b429949665d123da44cd037ac80a9249735c2403606bc6117dbd75e22856f5ae

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.249514Z digest=sha256:ab91d7a8be7bd8186a889437fce8ac0ad32e29f12b69ef2cb6b834f9f95af377

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.252017Z digest=sha256:aedde9bb3ea1a117bd9badf2cd5be9b54cdde5a95dbd311496da6c2063d6c1ae

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.254476Z digest=sha256:dd8b92eb515dc563c375d1ac50fdf5843f9f1de963b2ea1f3bdecb08234a2c1b

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
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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.256830Z digest=sha256:9505f392deacc83678e998a9083532be2bf7a64afceaa275eef41c2c0fd74daf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.258854Z digest=sha256:5dcca90eb0fd81e2f773dfb564b3df0928df9ef81f129ab8b6a923b7599c34ac

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.261233Z digest=sha256:f680a2b6af25e72d297034890a4d3388d9886db8b24e5ef1433643f45796c83e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.263663Z digest=sha256:a8940900fbd4eb4d532192f5ad2e537fce6dabe30e54987b09d54e1424e2321a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.265754Z digest=sha256:9089d5a681ea5436b28c9d9eefa9826f84c2df2fc9c31c3cc4c8f5130e4d4ba7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.269932Z digest=sha256:ccadae3ad8de549a4c2bec1027d1108a6aafdc783950a1842df54de10f80454a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.271988Z digest=sha256:514b56e5ccdc3ed957b10e1a9372be5024449875e83a05c38e5c026482fab02f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.274078Z digest=sha256:4afd14c5b62a7bda4016597b3d79b51c699fdc40cd3d8e0d3fb0cef2e4ad3383

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.276011Z digest=sha256:456e132161461db768774f4fad77a060dce0f1f80ef533cd6334b8dc0d664f86

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.278024Z digest=sha256:1f81e84e1d93d79646f10ca44c8320d8bedae28cbf531af649e48f9934569bea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.279801Z digest=sha256:266f3556b399f811062470d0b2798ac1f39b41b5a882706e0a377f3a0a745a97

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.281734Z digest=sha256:1244f3b8e055b57978748d601439776cddfa2d68b995eebd9ea610e70baf5271

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.283834Z digest=sha256:6c087ee745ee92b525f72d49f8e13c5d42d06c5c5d4a5b8f4d14a57f69cd5981

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.285844Z digest=sha256:6d8b6fb3db3e2884ba75af9e98c925d6f1393e6f337a506994f236cc3062c1a2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.288250Z digest=sha256:1614bfecd9f8572d4c52737f191b1e2eb8c134f715d003923f5615871fe7a91c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.291914Z digest=sha256:421a2d9b225dc7108b48213c013e36f59fa1d8685b1d5edb2476b3c3b65370d3

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.293674Z digest=sha256:ae1529a1acd0307ee1c01bb103a5ef51f3d54cd3162f04e06b53e761d83728f5

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.299740Z digest=sha256:10e2809705c540be0799831b4a875f826d8308ba497a5fd071648ba64c2c2027

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.301593Z digest=sha256:4a4fcc59bf88b27d10a25f36c544b359329a1a52f141883d3f937e47d29bae22

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.305656Z digest=sha256:142d1788280486b4aaf409807921fa405d4ad17628108b4bc95e82271b41c97d

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.

source=pdf_text observed=2026-08-06T17:56:21.307803Z digest=sha256:86dde0eed1e3f4db28c3ee104a276a99c9e631a1549b648c97e90a18accb5a8a

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.309604Z digest=sha256:c8e16360304e5df0b02c02346a4a52bcfcff662196dee3e4b71cc67ed1be95c7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.311590Z digest=sha256:b9ab84652cbb059371e1bd85430696ea7ed01bdc7609fb59125dc23c6928bee9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.313438Z digest=sha256:d36cfd01b912b4b261267f34047c43dad6bb61564d34acee2f42dac6b03b26ff

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.

source=pdf_text observed=2026-08-06T17:56:21.315395Z digest=sha256:88b753ad201e11090478b7b69514e28a1e05ea06556877d56848a713bd8c644b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.317387Z digest=sha256:a049a34450117f389f732db17a7f4524929652bded917ec5190885f654487b71

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.319130Z digest=sha256:e929cb7845829318bab6b5a6d49cd4a4d824196b02231fb177402409478ca77a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.320923Z digest=sha256:86cc567e546c805ef3f25a4fbb6ec32df99d5a8b38f9dd0b2581a46eb151c2f5

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.322972Z digest=sha256:84762a8dcc9959768eaa9804ecbcb758a89971ff624271308eacbb5675c3f6ea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.324907Z digest=sha256:868c734e1b74ee2cc52f28b52f42cfb770ecf1e2a19ea5cfd8b739cb00c7c1e7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.326874Z digest=sha256:8c49042c6257c87e0973e3552a9e9b73bc8ae774742ded0a849eb7cd198e0431

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.328646Z digest=sha256:e3bf9bc897dcdd1e6a95c4614e73414f20696ba63ea8ad3b0faeca595f36c927

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.330379Z digest=sha256:e5480a4ce918a9fa2d5a12e9eee6d24099b86a1623421110baed5299e5b79b00

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.332123Z digest=sha256:ce7fccc88926ccc051974383317ca63ffe63d82cfa07d9c8ee6731ff60cc822a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.334135Z digest=sha256:f4c388c2b221c38b3ba418c0489845f94b81d72be957139a9d1db66cbae25ceb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.335797Z digest=sha256:d1583bf3f7ea8d7b8996ccfeab7bee58844a05874a8a601afe20e754a5e53290

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.337566Z digest=sha256:7e443e64c3d83f7804288894fbfdf096822c1e913191db4ff59cb8ecb2c1321a

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.

source=pdf_text observed=2026-08-06T17:56:21.339640Z digest=sha256:8a1a4769ba3a9931c7f52f8842dd09739b7de1ce46c54be88286e8cf77e43c34

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.

source=pdf_text observed=2026-08-06T17:56:21.341899Z digest=sha256:a717f16f1273715225a7ac82622506b9d4be7bc6b894c271fce529ff76b87bd4

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.

source=pdf_text observed=2026-08-06T17:56:21.343652Z digest=sha256:e16475cb8f8e31fe00febe3cca572e4a52b2aa709ab03019757ef5164b62d896

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.345387Z digest=sha256:a24ed3642edcad06005c00ab17615463b98e7a502670a38fe568a555a40c1561

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.347461Z digest=sha256:43a1bbff30e22fb7b5cfdafe71131e3a2702d2c5333cdc499981aba7ae0496f3

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.

source=pdf_text observed=2026-08-06T17:56:21.349476Z digest=sha256:edd8e34aadf655472b6aa7cd0c6006ebb8ef879ac34f50fe44aba4c92e652970

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.

source=pdf_text observed=2026-08-06T17:56:21.351730Z digest=sha256:979f3db3314dbcb84f412586b00627165aeb8d80a4b5528177d548b1005e01a4

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.353513Z digest=sha256:454c7bf9b8344d94295bfa66d9f2ca859dffd80383bacb804755c89de39d5655

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:56:21.357565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.357565Z digest=sha256:4fc29ed5e8a4e01596387fc2c65a9709620fbb423f195367e7b960329952b38c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.359629Z digest=sha256:39690a904c22ac89757fe69949c40e3025b44eb0ac093021301d856a2a720b4e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.361452Z digest=sha256:24ad4a236d96b55e20038160321e0008affd172f30b82cb501223fe3dfed14e7

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

This paper cites McEval: Massively Multilingual Code Evaluation.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.363893Z digest=sha256:7745043915ce2ca5468af1051b55518d9aca004a1b65fa7feb4411c4b19816dd

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

This paper cites SALLM: Security Assessment of Generated Code.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.365711Z digest=sha256:e30d1e830ce9f8d61524460eccdfcf115eaed1cc69aca0200815a89e866d4edb

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

This paper cites Pylint - code analysis for python,.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.367681Z digest=sha256:fffe9f337d0b878258aca11429ed377d822a1abddb334be135fa1453e21a9373

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.369559Z digest=sha256:8a3b9b1c725cd325f158b874fd42d979d2b84561f90e0721ff9f0521d3a529f0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.371372Z digest=sha256:078659dfc4588e365e1b527b29e1656a56440bf1c4d14a094c46e053180d4c65

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.373128Z digest=sha256:143b92a5fb088ec252a552db20a5a5b9e8e4980d377f9c48786c4235fe548a6c

Observation e6800572-5896-48e1-813f-81a2fce17b8b · outbound

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.374994Z digest=sha256:72cbb304a4467d0e228511413c88a2506c1a3fa16f5d53e642eb5ce6b1ebb433

Observation 2f2addaa-0080-48a2-9324-bd8232490435 · outbound

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.378448Z digest=sha256:881892ed2191740ac4e9759213d65efcb8bf20ad654f292189305a27630c53ef

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.385159Z digest=sha256:0f212c08473f51fa7b47050aef09fa29ccef05bda7f60d7fffbf4f349a25a6ef

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.402937Z digest=sha256:0481d82a7114410b416a6955070b887a66e4cce462365da135417114569380f9

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.416883Z digest=sha256:d5dad0da13d263a425285d2b0bfd2c7428f39e16b741ab585a8f922eedd95c02

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.438635Z digest=sha256:6fefcadb050175aedd6228828963f58455cd64965422aa840de5089ca46d66d7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.461903Z digest=sha256:d49755111686e966255ab1595220c81ee2d362d2f19fb266ba52284051d4a36e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.487920Z digest=sha256:2d023a159612296468b87f6812314bf8c32e2c92b4c5c0044dd7d7bd2f18c316

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.515029Z digest=sha256:504847ed69a42875de2f5cd3f32d167ae6dd0e71955c47dc9a4235ce6bf04079

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.537939Z digest=sha256:59b438b05e62f871e73c4407ab182e8262e9e31a146db17c03c378d8e4040e33

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

This paper cites A simple sequentially rejective multiple test procedure,.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.565780Z digest=sha256:b4f501bbffda4de05b6248e74608526468af6c6b3ddc1fe7d6ff7ea722f5a964

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

This paper cites an unresolved cited work.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b9bd325e-4fb4-40ae-996e-fe3f1013c124 · outbound

This paper cites A coefficient of agreement for nominal scales,.

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

Reference 78

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites On the effectiveness of large language models in statement-level code summarization,.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:56:21.805325Z digest=sha256:60d5e6e33ee98010fb2eb114aaa4cf870dcd7ec8973a9f98d3c1e1e8b93966e4

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.976074Z digest=sha256:d5f3f2aa96f50d1444a7c29222843be190bd6ad15eadfa2d0ef86b719ee858af

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

This paper cites an unresolved cited work.

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

Reference 2023

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parse uncertain
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.290163Z digest=sha256:5ea18f025ddbbbdfa491a783df98bf3f0c827d7d31c5df7f0a0cab5b253ac29a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.303538Z digest=sha256:63a24549b19282f420fe21dd65d9fe016c41db9babbbabe38dba698311cfa222

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T16:00:26.489264Z digest=sha256:42aaef394cf1cbdc6cd96e3997d0b6ad932dea6ac9a9d7cee183057b6f40b56a

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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