Paper Citation Record · LEDGER

Evaluating Language Models for Efficient Code Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2408.06450.

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

pith.paper-citation-record.v1
2408.06450 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:18:49.074682Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 92af4e47-120b-4794-91bb-615aa660321b · 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 Evaluating Language Models for Efficient Code Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T12:18:49.074682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ef479bb-d7bd-4a3c-a3b4-d7d6147f8e8b · inbound

COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.

COFFE: A Code Efficiency Benchmark for Code Generation Evaluating Language Models for Efficient Code Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T11:01:27.848936Z

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Observation d98699e6-9a86-48e7-a4ad-1c808cfa95d3 · inbound

Think Only When You Need with Large Hybrid-Reasoning Models cites this paper.

Think Only When You Need with Large Hybrid-Reasoning Models Evaluating Language Models for Efficient Code Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:05.745275Z

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Observation 901b1cf3-73e3-462e-8e60-18cfe99e9c15 · inbound

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

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Evaluating Language Models for Efficient Code Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:26.404596Z

Source-reported events for the cited work

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Observation 76d11502-2cb7-4123-b3ef-80fa9bce9369 · inbound

SysLLMatic: Large Language Models are Software System Optimizers cites this paper.

SysLLMatic: Large Language Models are Software System Optimizers Evaluating Language Models for Efficient Code Generation

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:22:17.190257Z

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 8527008f-023f-43a9-bbdc-fe0330356534 · inbound

dots.llm1 Technical Report cites this paper.

dots.llm1 Technical Report Evaluating Language Models for Efficient Code Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:08.859635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb1e528-f75e-4bfe-b75c-94514f89637c · 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 Evaluating Language Models for Efficient Code Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:33.889386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4caa578f-7d72-44e6-a954-29a3595cabb4 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Evaluating Language Models for Efficient Code Generation

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.261360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3c7ba5-c68a-49a0-9b5a-3187e87b7d62 · inbound

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? cites this paper.

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? Evaluating Language Models for Efficient Code Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:54:57.264899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a122857-1c28-47c5-87a2-69cc6f2365ea · inbound

Locus: Agentic Predicate Synthesis for Directed Fuzzing cites this paper.

Locus: Agentic Predicate Synthesis for Directed Fuzzing Evaluating Language Models for Efficient Code Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T14:29:44.466731Z

Source-reported events for the cited work

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Observation fa93ce4b-b593-4e43-b06b-4ba34bc225dc · 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 Evaluating Language Models for Efficient Code Generation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:41:00.443445Z

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 19e6dc80-47e3-40c2-93f9-06fd7ff60be1 · inbound

SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents cites this paper.

SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents Evaluating Language Models for Efficient Code Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T01:12:25.863510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e055c82e-e143-477b-ba95-068d236da384 · inbound

CppPerf: An Automated Pipeline and Dataset for Performance-Improving C++ Commits cites this paper.

CppPerf: An Automated Pipeline and Dataset for Performance-Improving C++ Commits Evaluating Language Models for Efficient Code Generation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:56:27.864123Z

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 feef782f-0f2e-428a-a4d7-bdc7c26cb5be · inbound

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training cites this paper.

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training Evaluating Language Models for Efficient Code Generation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:23:54.195640Z

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 23a2c20a-b34b-45f7-a31a-019910a879bc · inbound

ConVer: Using Contracts and Loop Invariant Synthesis for Scalable Formal Software Verification cites this paper.

ConVer: Using Contracts and Loop Invariant Synthesis for Scalable Formal Software Verification Evaluating Language Models for Efficient Code Generation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:43:32.575800Z

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 9b0dbc47-a690-409c-8c21-725502f72578 · inbound

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

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation Evaluating Language Models for Efficient Code Generation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.208751Z

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 2380a893-f5dc-494f-9bed-59a0a7a99fcd · 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 Evaluating Language Models for Efficient Code Generation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.715879Z

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 259ab365-eba6-430a-9da6-79aef9f3eef6 · inbound

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java cites this paper.

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java Evaluating Language Models for Efficient Code Generation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:35:43.633656Z

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 bc977e92-c32c-4683-9177-b2a659d2a7bb · inbound

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java cites this paper.

JETO-Bench: A Reproducible Benchmark for Execution Time Improvement Patches in Java Evaluating Language Models for Efficient Code Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T09:24:35.679140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c284cb9-cfad-49e7-a13b-aa1c28eee140 · inbound

Rethinking Code Performance Benchmarks for LLMs cites this paper.

Rethinking Code Performance Benchmarks for LLMs Evaluating Language Models for Efficient Code Generation

Reference 99

Resolution: verified exact; local_arxiv, observed 2026-07-09T05:26:01.186731Z

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 b71ffaf4-a3a4-484c-a664-37928b1876f7 · inbound

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

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization Evaluating Language Models for Efficient Code Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T12:12:58.662932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5b1627-d869-434b-a7ce-df886d889d99 · inbound

SWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional Improvements cites this paper.

SWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional Improvements Evaluating Language Models for Efficient Code Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T07:55:25.234146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.