Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.15189.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:44:25.267962Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T12:22:17.181454Z
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 f2d07598-4143-49cb-8423-f0e740ee13d3 · inbound
ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models cites this paper.
ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:44:25.267962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fce5633b-ca87-4193-8523-af3e90b99930 · inbound
SysLLMatic: Large Language Models are Software System Optimizers cites this paper.
SysLLMatic: Large Language Models are Software System Optimizers EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T12:22:17.183181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ab089747-c194-45ff-b1a8-805a2531aaf3 · inbound
Multi-level Code Optimization via Mixture of Prompts cites this paper.
Multi-level Code Optimization via Mixture of Prompts EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
Reference 19
- Resolution
- malformed identifier
- no resolver link, observed 2026-07-30T16:26:29.610140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.