Paper Citation Record · LEDGER

Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.09241.

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

pith.paper-citation-record.v1
2410.09241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:34:34.728322Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:17.694195Z

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 a6d74d0f-5d47-4a1c-81b4-0aa730c0f1e0 · inbound

Language Models for Code Optimization: Survey, Challenges and Future Directions cites this paper.

Language Models for Code Optimization: Survey, Challenges and Future Directions Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-10T22:34:34.728322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3356c24b-b06c-49e9-b896-e226e0be3a90 · inbound

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

Evaluating the Energy-Efficiency of the Code Generated by LLMs Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:53.135873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9297f77e-5d72-4f9f-824e-d5fabd20fa8c · 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 Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:41.984742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e0aa31d-60ce-4347-84c4-fd50ded35483 · 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 Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:16.560204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37776543-d26b-495d-8ec6-1182b797d7f8 · inbound

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

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.230814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0864180-b571-4c37-acbe-c8e4606b5906 · 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 Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.696028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.