Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.14044.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:28.085835Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:08:57.936945Z
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 c1ec2e52-8874-46a8-a3f7-314142942e33 · inbound
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization cites this paper.
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:50:28.085835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42aa8b5b-43ed-4eff-9ac1-c6246f0184cf · inbound
Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis cites this paper.
Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:09:34.151265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78a3ffab-2ee3-43bb-b412-7f8b1e6748f8 · inbound
PerfCoder: Large Language Models for Interpretable Code Performance Optimization cites this paper.
PerfCoder: Large Language Models for Interpretable Code Performance Optimization ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:43:38.179639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 96b3cbc3-d577-4412-87c4-f28dba077f05 · inbound
ProgramBench: Can Language Models Rebuild Programs From Scratch? cites this paper.
ProgramBench: Can Language Models Rebuild Programs From Scratch? ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:56:13.333810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 21d2a50e-bded-40c5-bf79-11545bfd75cc · inbound
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation cites this paper.
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:08:57.938684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.