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Paper Citation Record · LEDGER

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

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:34:34.496561Z

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 955f5521-d638-414d-94a1-b066d87d4113 · inbound

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

Language Models for Code Optimization: Survey, Challenges and Future Directions EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T22:34:34.496561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:34.496561Z digest=sha256:d5a2780eed95c61443618a2a018716dc328c6cf7209380c1ca727990fda572fb

Observation 14adca8b-58d1-40e0-a177-07bc45b600ea · inbound

AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code cites this paper.

AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T12:18:49.070518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:18:49.070518Z digest=sha256:f6bc2d19d662717c20b629eee86dc0ba0dfc9ce9b1a7c739e04a63a03f0e98d2

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=sha256:953fff9ff6b963883eca6b4d53f8f7e2bb0e31da718a66dd6565ec2548871cf1

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:ba15f0a1185ee9af1d1257f85df5039817eeedd7abde436cf5653e2721f346e9

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=sha256:644fc818f9e4bda655f0e13e70748c853332f6915e1042bf40d647e4aef8dc95

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:be90ff052d56cb23467ce3360b6a86ab8555d292ddc70374853d27fe1ff6cd65

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-16T22:42:01.520588Z digest=sha256:70f6dd0970105d8c929baa95c14f5f1248a82ae0ebaee7c1ccb00ee7fcd20d5c

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=sha256:18354733ae55b86287ae878a3f43df51f6e77643ffa6424ea0dbe83900380d25