Paper Citation Record · LEDGER

How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2406.06647.

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

pith.paper-citation-record.v1
2406.06647 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:49:14.651526Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7d2a4cf5-ea26-4afe-b485-b41552f8def0 · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T23:49:14.651526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d9c9c0-b689-4a93-92d7-6778f68f5276 · inbound

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting cites this paper.

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:56.978627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d768de9e-9a5d-4dd6-91bd-2962dc171164 · inbound

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

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:27.276056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dec1611-4a8a-4c52-a7a3-d945316cc130 · 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 How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:33.646855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0bb92f-2fc3-4a4d-8b01-d2da6116c80e · 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 How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:43.518709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c293c707-cac1-4ec4-ae8e-dd7aaf8ce2fc · inbound

Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software cites this paper.

Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:41:00.377223Z

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.

Observation b79705da-b2ed-4a60-a7cc-a2ec2bb0b2fe · inbound

Incisor: Ex Ante Cloud Instance Selection for HPC Jobs cites this paper.

Incisor: Ex Ante Cloud Instance Selection for HPC Jobs How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-09T01:29:32.641798Z

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.

Observation 6cdbc155-8baa-47d9-b227-9f2bf039c6cb · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:26:04.505509Z

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.

Observation 7017ec4e-d55a-4353-abe7-e587c1287e11 · inbound

Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves cites this paper.

Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:04.734018Z

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.

Observation 8d852ec3-e499-4966-b42c-fe08046b9255 · inbound

CodegenBench: Can LLMs Write Efficient Code Across Architectures? cites this paper.

CodegenBench: Can LLMs Write Efficient Code Across Architectures? How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:06:23.728937Z

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.

Observation fdfac164-c18f-47f9-8ef5-28ca3bffd16d · inbound

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation cites this paper.

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.211389Z

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.

Observation 3d4bf8c9-e6ec-4ee8-a30d-61e4370a78c6 · 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 How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.709938Z

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.

Observation 9afc1ee1-36a1-4e3d-8582-c4299f6b5583 · inbound

Correct but Slow: An Empirical Study of the GPU Kernel Evaluation Gap in Modern Domain-Specific Languages cites this paper.

Correct but Slow: An Empirical Study of the GPU Kernel Evaluation Gap in Modern Domain-Specific Languages How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T19:02:39.314928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d11d73-0714-4c4e-808d-fc7a50f7cc5f · inbound

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization cites this paper.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:59.345502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 494ef898-6c9f-4e1c-a8d7-d80367638d85 · inbound

Reinforcement Learning for Code Optimization cites this paper.

Reinforcement Learning for Code Optimization How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T01:01:38.353080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.