Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.09241.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:53.135873Z
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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.