Paper Citation Record · LEDGER

Generating Energy-efficient code with LLMs

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 6 inbound Pith citation observations for arXiv:2411.10599.

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

pith.paper-citation-record.v1
2411.10599 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:35:00.692195Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:00:17.970635Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy25
unresolved6
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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1628aa74-6acf-4f6a-a4dc-b62d6feeddcd · outbound

This paper cites Greenhouse effect: greenhouse gases and their impact on global warming,.

Generating Energy-efficient code with LLMs Greenhouse effect: greenhouse gases and their impact on global warming,

Reference 1

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Source-reported events for the cited work

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Observation a177c831-9f7e-4697-9716-df56193f879c · outbound

This paper cites European green deal,.

Generating Energy-efficient code with LLMs European green deal,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:01.116216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f45764b1-541f-4dfc-8bbb-61921b3cf320 · outbound

This paper cites Energy, climate: which virtual words for which real world?.

Generating Energy-efficient code with LLMs Energy, climate: which virtual words for which real world?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:01.102910Z

Source-reported events for the cited work

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Observation 0196f437-2e09-4044-8ff8-c1abf40f74dd · outbound

This paper cites Green coding: Reduce your carbon footprint,.

Generating Energy-efficient code with LLMs Green coding: Reduce your carbon footprint,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7d7efb3-a779-49df-b2e4-0dfa8dfda85a · outbound

This paper cites On evaluating the efficiency of source code generated by llms,.

Generating Energy-efficient code with LLMs On evaluating the efficiency of source code generated by llms,

Reference 5

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Source-reported events for the cited work

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Observation 919f14d6-919a-4340-80d0-7206f38010f7 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big?.

Generating Energy-efficient code with LLMs On the dangers of stochastic parrots: Can language models be too big?

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:01.065603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96fc325b-a30d-4fd3-ae87-037433587596 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Generating Energy-efficient code with LLMs Carbon Emissions and Large Neural Network Training

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:00.593174Z

Source-reported events for the cited work

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Observation c06e316c-89b1-47e2-9808-44fde7cc17e9 · outbound

This paper cites Great power, great responsibility: Recommendations for reducing en- ergy for training language models,.

Generating Energy-efficient code with LLMs Great power, great responsibility: Recommendations for reducing en- ergy for training language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:01.050623Z

Source-reported events for the cited work

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Observation c7553ab3-cf5d-4ad2-b2ab-b35000f79fc6 · outbound

This paper cites Hyperparameter power impact in transformer language model training,.

Generating Energy-efficient code with LLMs Hyperparameter power impact in transformer language model training,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:01.036693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6581be3-f8e6-442a-a72b-e326ffca7d9c · outbound

This paper cites From words to watts: Benchmarking the energy costs of large language model infer- ence,.

Generating Energy-efficient code with LLMs From words to watts: Benchmarking the energy costs of large language model infer- ence,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:01.022894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1aefb3e-6a30-4df1-9c61-b010cee39231 · outbound

This paper cites Energy-efficient inference service of transformer-based deep learning models on gpus,.

Generating Energy-efficient code with LLMs Energy-efficient inference service of transformer-based deep learning models on gpus,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:01.009033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87e0a097-9f01-493e-9b42-b8415afa3267 · outbound

This paper cites Learn to code sus- tainably: An empirical study on green code generation,.

Generating Energy-efficient code with LLMs Learn to code sus- tainably: An empirical study on green code generation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.995064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8df68023-58a0-4253-b047-bf805577b5b4 · outbound

This paper cites A controlled experiment on the energy efficiency of the source code generated by code llama,.

Generating Energy-efficient code with LLMs A controlled experiment on the energy efficiency of the source code generated by code llama,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T19:35:00.618133Z

Source-reported events for the cited work

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Observation ceda85f9-3ee3-48fd-94cc-9e968163ed8b · outbound

This paper cites Finding significant differences in the energy consumption when comparing programming languages and programs,.

Generating Energy-efficient code with LLMs Finding significant differences in the energy consumption when comparing programming languages and programs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.972040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fdc7a3e8-4d6b-4636-8a6a-706fbc38535a · outbound

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

Generating Energy-efficient code with LLMs Code Llama: Open Foundation Models for Code

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1ef1334-d11b-4793-a53a-eac1101dde7c · outbound

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

Generating Energy-efficient code with LLMs DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bebfebe3-a114-4060-9c2d-ece196c9f9b5 · outbound

This paper cites Jurafsky and J.

Generating Energy-efficient code with LLMs Jurafsky and J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.957656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c36ed594-eebf-45d1-a3d2-d73288d0f3b6 · outbound

This paper cites Github copilot is generally available to all developers,.

Generating Energy-efficient code with LLMs Github copilot is generally available to all developers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.944805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b01faf67-f720-4756-8c4c-4b19c3743631 · outbound

This paper cites Codewhisperer,.

Generating Energy-efficient code with LLMs Codewhisperer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.931773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 756bb169-d29b-48e7-81ca-99f880942cf2 · outbound

This paper cites Introducing ChatGPT,.

Generating Energy-efficient code with LLMs Introducing ChatGPT,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.918302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd0ce74f-6b2f-40fe-b051-6b4c59af79f2 · outbound

This paper cites Tutorial: Linux kernel profiling with perf,.

Generating Energy-efficient code with LLMs Tutorial: Linux kernel profiling with perf,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.905232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86f7e50f-847b-4f45-bf2d-33c07c56480e · outbound

This paper cites Running average power limit energy reporting,.

Generating Energy-efficient code with LLMs Running average power limit energy reporting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.892115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 054563ce-cacc-455c-a57a-3c243fd2c19d · outbound

This paper cites Measuring energy consumption for short code paths using rapl,.

Generating Energy-efficient code with LLMs Measuring energy consumption for short code paths using rapl,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.878763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac47bb24-9ee1-40a0-94dd-eb744e757eb6 · outbound

This paper cites Python–the fastest growing programming language,.

Generating Energy-efficient code with LLMs Python–the fastest growing programming language,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.865058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2b12542-8052-42a8-a643-49a1087e4828 · outbound

This paper cites pycode similar: Python code comparison tool,.

Generating Energy-efficient code with LLMs pycode similar: Python code comparison tool,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.850965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e018f6c-098e-47b1-b21f-7bbc43d056a3 · outbound

This paper cites Energy efficiency across programming languages: how do energy, time, and memory relate?.

Generating Energy-efficient code with LLMs Energy efficiency across programming languages: how do energy, time, and memory relate?

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.836130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21754c26-4be7-4083-9ce5-cc528b514c48 · outbound

This paper cites The mann-whitney u: A test for assessing whether two independent samples come from the same distribution,.

Generating Energy-efficient code with LLMs The mann-whitney u: A test for assessing whether two independent samples come from the same distribution,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.822623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55c5d313-f58e-4a77-9640-951953c60afa · outbound

This paper cites Documentation,.

Generating Energy-efficient code with LLMs Documentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.808286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e8bd46d-b696-4082-be28-839568b28b43 · outbound

This paper cites Text generation strategies,.

Generating Energy-efficient code with LLMs Text generation strategies,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.794539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81695ebc-36d8-41ba-aebd-05f3bf2398af · outbound

This paper cites Is Temperature the Creativity Parameter of Large Language Models?.

Generating Energy-efficient code with LLMs Is Temperature the Creativity Parameter of Large Language Models?

Reference 30

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Source-reported events for the cited work

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Observation 6f45e3ba-1088-4fb2-8214-10d497ac2fbb · outbound

This paper cites Available: https://huggingface.co/docs/transformers/ generation strategies.

Generating Energy-efficient code with LLMs Available: https://huggingface.co/docs/transformers/ generation strategies

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:35:00.780772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 18366b86-a0c2-43be-9a19-677582dc3760 · inbound

Evaluating the Energy-Efficiency of the Code Generated by LLMs cites this paper.

Evaluating the Energy-Efficiency of the Code Generated by LLMs Generating Energy-efficient code with LLMs

Reference 28

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Source-reported events for the cited work

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Observation 76466576-8498-4fe5-b0fa-8f1891c3ba18 · inbound

Generating Energy-Efficient Code via Large-Language Models -- Where are we now? cites this paper.

Generating Energy-Efficient Code via Large-Language Models -- Where are we now? Generating Energy-efficient code with LLMs

Reference 15

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Observation 7ce8341b-9d5e-438c-8674-366cebad7466 · inbound

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code cites this paper.

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code Generating Energy-efficient code with LLMs

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.157658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bcb1fc8e-eeb9-499a-bfd1-ac84c251fdec · inbound

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation cites this paper.

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation Generating Energy-efficient code with LLMs

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.275269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29ce7c18-5fa1-4340-8f54-786485f57d44 · inbound

SkelDPO: A Skeleton-Guided Direct Preference Optimization Framework for Efficient Code Generation cites this paper.

SkelDPO: A Skeleton-Guided Direct Preference Optimization Framework for Efficient Code Generation Generating Energy-efficient code with LLMs

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.703620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8c258d8-bfa6-410c-9483-a5519fb9fc9a · inbound

Integrating Energy Efficiency into Software Development: Developer Perspectives and Requirements cites this paper.

Integrating Energy Efficiency into Software Development: Developer Perspectives and Requirements Generating Energy-efficient code with LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T05:35:54.303972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.