Paper Citation Record · LEDGER

EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.13004.

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

pith.paper-citation-record.v1
2505.13004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:07:46.313113Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T18:03:10.108749Z

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 06a9f9bd-4064-4509-982e-2d67f2678bba · inbound

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

SysLLMatic: Large Language Models are Software System Optimizers EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Reference 90

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T12:22:17.186764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d4741ae-c11a-49f2-a581-13f840be6b15 · inbound

Rethinking Technology Stack Selection with AI Coding Proficiency cites this paper.

Rethinking Technology Stack Selection with AI Coding Proficiency EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T17:07:46.313113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031eb600-579e-4d1d-90f4-f35b01c28dab · inbound

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths cites this paper.

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:22:33.340137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f7eafda6-213b-44cf-8d62-eb3afe8227f4 · inbound

CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation cites this paper.

CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:26:03.700057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5f441195-ee58-4941-9b71-742d530d28b6 · inbound

PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization cites this paper.

PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:03:10.111201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32ec4a62-5626-4d13-b3c9-133104ea53c4 · inbound

RLPF: Reinforcement Learning from Performance Feedback for Code Generation cites this paper.

RLPF: Reinforcement Learning from Performance Feedback for Code Generation EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:53:08.915570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.