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Paper Citation Record · LEDGER

EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.10209.

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

pith.paper-citation-record.v1
2410.10209 v4

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:25.227030Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:43:38.185204Z

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 8d701659-174a-4c4d-afeb-08c29b63f765 · inbound

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization cites this paper.

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:25.227030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:25.227030Z digest=sha256:d09ed280f465813911735089f1aa867e9c8c79647c3278ba36d9af4aae42d79d

Observation c0599823-6215-4cf5-8d9c-33bb5cec9b4b · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:32.905249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:32.905249Z digest=sha256:d3d2fcbf57bc2dd8b5cbbb293002101a79c08498cfb8816b27342635162cbf7f

Observation 95ec1eda-cb95-44d4-9d16-34ff0b603877 · 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 EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T22:13:41.656485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:13:41.656485Z digest=sha256:716210fea3a11c77a15cc7bd0ad62786a3b11349bd474f45e84f86bfaa138fd3

Observation 026844b5-b7a0-4a76-81cb-7799babd2618 · inbound

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis cites this paper.

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T09:18:09.789840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:18:09.789840Z digest=sha256:4220357c4c644f34e8aa5a6b41dd47ecdffed4436d5542df418ee435aafe9c32

Observation c6ca8d3e-39e6-4991-aabb-5a6eac1293f3 · inbound

PerfCoder: Large Language Models for Interpretable Code Performance Optimization cites this paper.

PerfCoder: Large Language Models for Interpretable Code Performance Optimization EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:43:38.186848Z

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=arxiv_source observed=2026-05-16T22:42:01.520588Z digest=sha256:ca0588e0766556d516e5c05a370efb5b67693e96fab6fb45497c2506b40fe28e

Observation 58b1ccab-41c2-4c66-accd-94429b21141d · inbound

Multi-Source and Cross-Scenario Strategy-Guided Code Optimization cites this paper.

Multi-Source and Cross-Scenario Strategy-Guided Code Optimization EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T10:07:55.546770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:07:55.546770Z digest=sha256:3f9f2e8ab66f2864c037270771203a8600c44ded43de669e0dea070ded8f3be2