Paper Citation Record · LEDGER

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.18489.

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

pith.paper-citation-record.v1
2502.18489 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:28.777021Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7d447b74-4f3a-474a-9b20-3de2a624ce31 · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:37.275149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7813645-9f34-4a7b-b5ea-f2014113db0f · inbound

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

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:28.777021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5406a1ba-6d88-42f0-83ba-a0f6570c21ac · 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 LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:34.091736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37018bf0-8a6c-47bb-989b-fdd9321ad3a4 · inbound

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition cites this paper.

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.721275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 952346cb-5747-4bbe-b123-dd57658c4324 · inbound

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

Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:17.239886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 136f710f-61a1-4778-b37e-24371f783afd · 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 LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.680218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b7d47f7-e172-4a6e-8beb-f6c2375c95b2 · inbound

Rethinking Code Performance Benchmarks for LLMs cites this paper.

Rethinking Code Performance Benchmarks for LLMs LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-09T05:26:01.122754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.