Paper Citation Record · LEDGER

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2502.06769.

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

pith.paper-citation-record.v1
2502.06769 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:26:04.493548Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy8
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b4403e1-542b-46c9-a0a3-f3d97dfc1148 · outbound

This paper cites Deep configuration performance learning: A systematic survey and taxonomy,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Deep configuration performance learning: A systematic survey and taxonomy,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.699021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 297f36fd-da03-4d81-9e60-2a66ee8e876e · outbound

This paper cites Rtlrewriter: Methodologies for large models aided rtl code optimization,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Rtlrewriter: Methodologies for large models aided rtl code optimization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.684557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13697c76-3a37-48e0-aedd-61b34897f793 · outbound

This paper cites Learning performance-improving code edits,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Learning performance-improving code edits,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.669686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72521d60-e29e-4cf6-a0dd-1ea1d18dc72e · outbound

This paper cites Langprop: A code optimization framework using large language models applied to driving,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Langprop: A code optimization framework using large language models applied to driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.650867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8dd18d7-1f4a-4adb-a5b6-175ac634c9b1 · outbound

This paper cites Language Models for Code Optimization: Survey, Challenges and Future Directions.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Language Models for Code Optimization: Survey, Challenges and Future Directions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T14:26:04.461244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4338d966-b2b6-4cf4-88ce-916b273688b4 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.635851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1e0671c-5a67-4511-9cb0-cfa087527d1c · outbound

This paper cites AutoSAT: Automatically Optimize SAT Solvers via Large Language Models.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T14:26:04.471454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb93eb0-0f5f-4c94-8038-8c6e5f73a952 · outbound

This paper cites PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T14:26:04.476313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c287eeda-5f77-4604-bf00-2986c732d8db · outbound

This paper cites Research design canvas,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Research design canvas,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.620921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e1f7abfd-77be-4413-b544-ca97eb607779 · outbound

This paper cites Innovate uk knowledge transfer partnership,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Innovate uk knowledge transfer partnership,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.606656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76ae32c9-82a9-4f18-9e5c-6136db9f79af · outbound

This paper cites Artemis: Ai-powered code optimization platform,.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Artemis: Ai-powered code optimization platform,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:26:04.589665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 853c23be-9fa1-48a5-a233-aa9ffe6d4462 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T14:26:04.493548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.