Paper Citation Record · LEDGER

Green My LLM: Studying the key factors affecting the energy consumption of code assistants

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.11892.

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

pith.paper-citation-record.v1
2411.11892 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:37:28.403733Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:37:43.428993Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c41a163a-55c5-4156-9a69-f4118b80a9d7 · inbound

Aggregating empirical evidence from data strategy studies: a case on model quantization cites this paper.

Aggregating empirical evidence from data strategy studies: a case on model quantization Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T04:37:28.403733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e69139d-dd0d-4f12-be1d-3cfa1a0d5805 · inbound

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming cites this paper.

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:42.553964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e66f2382-ed13-4030-983d-e1ce58db5b39 · inbound

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters cites this paper.

Pimp My LLM: Leveraging Variability Modeling to Tune Inference Hyperparameters Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:47:28.161294Z

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 7ff7c522-e9c7-45bb-94c8-d0b5281b6767 · inbound

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:16.544446Z

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 3ffe1af0-b5bf-4239-b937-79f8002a9616 · inbound

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot cites this paper.

From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:37:43.430908Z

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 13478599-5993-4bd2-ae4a-6fd9a7478bc4 · inbound

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations cites this paper.

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T04:56:20.002453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b36e14-3bfa-4122-bb14-9f20b144cd43 · inbound

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations cites this paper.

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations Green My LLM: Studying the key factors affecting the energy consumption of code assistants

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T07:43:19.640156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.