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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.247228Z digest=sha256:326670724c5850359feb9abf112a92c017100e9378711838413fb72f1718961d

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=sha256:786d001c28e11f2a17ab7afd2d7f2d01eeffccad676d24f53644bd7042e7a1dd

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:d446e2fa0e12bd0485403f0310592abf8da3fd72b000b0ee62d0a35ed76427bb

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=sha256:14f5a8777b78934e4257e3963afdbf6c47b0c72a14a749a141476e8aee8a1e70

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.256830Z digest=sha256:fcd17f45acffdc27f77eb2a731b3ec138601b0115a070dc4f1c26011bf4afef9

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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unresolved
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=sha256:1e4899cc0ceb69aa79f8728e66d63fa2871255beb47e2bc11d5a55da9a9047c4

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:dfe0a4855ae2955704ce8585f48f5ac836076791662983e3830fd1cbc759dc26

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.263663Z digest=sha256:482518fe8762f4d36bf7d5a27d97209ccd52cb4b680b5ecba450f3b22c7b873b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.265754Z digest=sha256:8e675022b0e507324b475f2a52fd03ee461f609ff325e3b74065d4444710ca45

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:d281c15800a23979ae8b53f641db9313e092dd38c338f9a0b3ad195551e48d42

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.

source=pdf_text observed=2026-08-06T17:56:21.271988Z digest=sha256:4806573a9d862e23f1cb560c8725cb66c84dd6969adb3afe8577be4cbcb31a40

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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unresolved
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=sha256:5619f4ce166cc00337f6d3931d223e38911b68f63aee788064085b603937d383

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.276011Z digest=sha256:e084412ec351a7b9ca71771960479a3dd22c497548a4921030b8fd2f1e559442

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.278024Z digest=sha256:dcd3a2aaafd2e63cb797540657b7888b529ba0872c8cbe2d5e6ecf93070ca2c4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.279801Z digest=sha256:d29f635b7930fbebabc3ff7a304a38e1280433135439691ca8e0615dca197c0a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.281734Z digest=sha256:c7326d1fe889693ee03d74f7babc015ea8a56d7bbc2ac8525a914f8b68d48d60

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:c2c95d70265ecdcd9ce7d53fac45c6870c283972f61270f32a19749c39470bde

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.285844Z digest=sha256:66b2a4e385d02d3cfb23c5ebaa9a8dfb02bddf2b07a1132fabe6d972c66a8e1a

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 2026-08-08T06:32:00.761636+00:00.

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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:a672019a675de4d9607ef6cfae7484a0c7351310091aadbfc6dbf9a5b13b210b

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.293674Z digest=sha256:fe99e7ea3845ced1908d8ea0c63f326304db3eadf0bdb13b484813c6aa558ce9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.299740Z digest=sha256:7f93bd9388480322554470c21d369c5e56e4a2cd351cbd78e3ca28d61ac2b7b6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.301593Z digest=sha256:58e7c8043b8a1fd2c72b9d0a4adb36cf4ee255ed248dcd937c728a0578d1a83f

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:b09c88d92d8281579f8c23b36b857888caf42138d5c8f0e342acb6580b7c01ab

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=sha256:080815188d5a43f62524937d8c2acc0be564518e0a6033e35b6fdbb6a84bce7c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.309604Z digest=sha256:7e63f85984ece7548453afba061076a48841ad577ec5538262587e4969eb436d

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:e60c486c295e3a2af567d2b82fcd2ec0318900c713456e02b56e6a662770768f

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.313438Z digest=sha256:622045d0e8da98b48fe5333930b2616beea1d257e39ac8b97158627b35bfc807

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:cc09bf378d8f3ca1656c4cc48d3695eda7a859a4d19559cb950032eb292a5bf6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.317387Z digest=sha256:287c2398219753db3a2d99ba6d6cca038420c6ed419e7024c8e1c6b8593b8cc1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.319130Z digest=sha256:4bb5712dad9340acdf8aa79bda05e4966f79ded4b3d0d08e563296ecd4ea5dd9

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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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=sha256:160c29ef5fc674032371dae32e7a0e2a4616b6afa824dec639eda38e282642d0

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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.322972Z digest=sha256:32558880759931fd02d93b205cccd9781ca316d5fed75766fa57fe029b1d4835

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.324907Z digest=sha256:fe143e12cd58aab942e9cc65ac6a4d7f468c1481b31e2e73cee413669c50a0fe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.326874Z digest=sha256:4361bbe8fb9b31e5937ed1b6d09167871ee9a1dddfa622ad1861b4088247d081

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.328646Z digest=sha256:5c6c2ebaa28509203885b959da31e0d2adb422c993755274b0be413a1ade5b31

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.330379Z digest=sha256:9eab33fbeabc9d0f3d4db84859b22243960f6a1ac43c2cdfeacb092a33798fc2

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.

source=pdf_text observed=2026-08-06T17:56:21.332123Z digest=sha256:f611cbd7b55b3b3884cfe5ca2082b48a25c95ed662f4a93a0251e41f01ef639c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.334135Z digest=sha256:9a0cd7282a49e9d513751bdf38e6e96b269f9928637381509411fd303b70f657

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.335797Z digest=sha256:2fae80f0cc01e713bc76638a8c4568a1303d23138f54b5ff6c3a5be76a0a1bb7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.337566Z digest=sha256:d77fe7182d283561f45ecfe3a5766edf2543a17639d65b3cbc0ca3d860540271

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=sha256:3d788525f55dd93c414984d5c331414e1ea6e5705ce8c492be3c57436a05ade8

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=sha256:8c2eab9b9688d5bc56f1e524dbb9faa0442130e4d89106e13a1a023b7f40d6f3

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=sha256:7d9c11d773981f7f631aea3ab42f4521d4b9f718d33dcc64b50eef75134707a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.345387Z digest=sha256:63b304cdbe7980b18fcacc2eac0c91fceb25459305fe3e5a75992796b603c374

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=sha256:86e7a640a9847fcf461fd7c65a41856c05e89df849f52f7d8c7664234696139c

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:a934a1c5c7be393538c874df371a109ef3e9926525ef06b78cf609a2e750b477

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=sha256:0bb1d01251d7ec7327ff3dd4f213aad61a8f930f1880cb71613654089f462fd7

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:e794f662e3638c7c01aabf573527d81290c0b21da2ac8bafced8b703b9d8d6a1

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:a22e49b36e2dd09590bf50e42659053da3ef218a471a47121f9c7f4e31378782

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.359629Z digest=sha256:9bc239574bf1948e33e83822806ffb6dfd4d9e86e2adb4f4604d90ebcba25ce6

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=sha256:8dd52ed7ac4da6c640403280bf9ef15ad62b3111be26c2b27940668a2f8e9eb6

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=sha256:63f39a964ecd1c868ab0c76e4a1191004cd479fbde71f39d614ecc9b8f4c9e2c

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=sha256:65ad2cd9c0ec79959d2a06e7987c894cbf2f7c618b9809bddb02fc43e0259c00

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.367681Z digest=sha256:39b295bbb8d95db60d6bc170e40d5bce85c5be66f92dabab048982b99fb667fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.369559Z digest=sha256:b131b81a1cbc0e426c1a43b5031dad824b2ce35d7350b0d9a2dda775be35e9c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.371372Z digest=sha256:2de1b7ef4e582f059c20e9be1f8555687e0a89e7445d71bd6122bd29b52da09e

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=sha256:9913204aabf6a0008f831dbada3bc828a8c6b30331cfc9d73232f7a55b8f18a8

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=sha256:25ce7cb2d3016bc0b01ade313d47994ce0154cc626d319748f0781ef92fd3f00

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=sha256:8899076a84712f1c239db9ee40e1cf4fd2dc8889fb9e41ed828feb88eade2d5e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.385159Z digest=sha256:2b0b00eff150b26739e1b4915df3d40b9be377151710734768dd3048ee6d825b

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=sha256:4105d817352d10583f7605cc2aa82bac401571d7f954051d111dac56c23155cf

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=sha256:8c57820e8be16f62f23b5798cdccf50664e36315d7cf11a2a441847f4724907c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.438635Z digest=sha256:315755e8c233b0c007556b6e7e82be4320bea4c7fe623f0cad3a6a7e085e9d30

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:c9f05d002c780b74c05b73b0b8b2b828b28046dcf268e5277f15d8da2aa764bc

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=sha256:31654ae58f15435779d88f4e3f0ee011723a03d6f2151fc20da1d6208646c41e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.515029Z digest=sha256:4778397de4bfbbf8283cf1f5a541c0e87273f092815263b050a72441acc3c42d

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=sha256:45df2c58117e0c4af3406fe72791c4aeadae2a623e834722072eee98d4ed8deb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.565780Z digest=sha256:4352e6652b52fdb23012959ef2e885a2b97912d514b5531169a2f973018c6489

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.589866Z digest=sha256:6974eb7749e01dd9883ec6dee47ddeea17c4b2828d9b4b2096dfb51a50a6994a

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

Resolution
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 2026-08-08T06:32:00.761636+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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.623890Z digest=sha256:85d2d5f0bf355295be43c530d1ca5f815cb5825335afdc1aeada56ce274abcbf

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.688996Z digest=sha256:fd609620eff5edec1e44beef1466794e2111590f2f9299e491c3dfd411f6306c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:21.805325Z digest=sha256:ae0650a80835f2c891ee91a2a0c6caea1066f87de7396d81f01084733f6fa2a6

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.976074Z digest=sha256:ddc22e5662319172a2ef3a5854671ce0ad04cdaf1111424a1047c35990fe4b1f

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
no resolver link, observed 2026-08-06T17:56:21.290163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.290163Z digest=sha256:1d514077453ec0b8b2c8acc028888de03940b4df113117e9078dbf8e5fdff1ca

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:f02aa14e2226828387b7a58e086429f3544abfc412028f3e5d680cc99b8e8cbb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T23:45:54.490984Z digest=sha256:b3959a52dc9e56a539afb53e7bc794b947e74daa048e3263e146b3585c44991f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:01:27.318029Z digest=sha256:818654830c7ca414d787d970a7141ae51a9726b5c4e9d0aa61b4ee675bef6bee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:00:26.489264Z digest=sha256:bf5e18485481a691801d712c712d1bad9d6dcaeed807254da3be99e9f28dd679

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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