Paper Citation Record · LEDGER

Language Models for Code Optimization: Survey, Challenges and Future Directions

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.01277.

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

pith.paper-citation-record.v1
2501.01277 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:24:35.647549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:35:43.683405Z

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 fae364ed-366a-4925-b941-b5df30aca31a · inbound

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

SysLLMatic: Large Language Models are Software System Optimizers Language Models for Code Optimization: Survey, Challenges and Future Directions

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:22:17.173204Z

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 376290c4-d59d-41be-be9b-084f811cb1ea · inbound

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search cites this paper.

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search Language Models for Code Optimization: Survey, Challenges and Future Directions

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:54:05.915913Z

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 7dd1e8e0-3fc8-40a4-81f5-8eac549d5a1b · 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 Language Models for Code Optimization: Survey, Challenges and Future Directions

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:35:43.685120Z

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 984e63a6-8763-4c94-af65-73a4d02816be · 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 Language Models for Code Optimization: Survey, Challenges and Future Directions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T09:24:35.647549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.