Paper Citation Record · LEDGER

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.06227.

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

pith.paper-citation-record.v1
2506.06227 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:22.680773Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact0
verified fuzzy11
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea0bf972-fb7e-437e-bbab-bc1b3d5c6886 · outbound

This paper cites [Accessed 15-05-2025].

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports [Accessed 15-05-2025]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.935249Z

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 2c52cb1f-9b69-4a0b-a7d2-67f11aa2b74c · outbound

This paper cites [Accessed 15-05-2025].

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports [Accessed 15-05-2025]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.922396Z

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 658c593e-85f6-43a3-88bd-642de0c21591 · outbound

This paper cites [Accessed 15-05-2025].

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports [Accessed 15-05-2025]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.909668Z

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 7dd36ce7-a2ae-4635-89dd-0670866f29fa · outbound

This paper cites Cognition | Introducing Devin, the first AI software engineer — cognition.ai.https: //www.cognition.ai/blog/introducing-devin.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Cognition | Introducing Devin, the first AI software engineer — cognition.ai.https: //www.cognition.ai/blog/introducing-devin

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.897165Z

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 64ddd096-d934-4949-8c50-cfae63c7d4c9 · outbound

This paper cites Large Language Models for Compiler Optimization.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Large Language Models for Compiler Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:22.628831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b34d81a-dd7b-4c08-b539-1cba768ea646 · outbound

This paper cites Meta Large Language Model Compiler: Foundation Models of Compiler Optimization.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:22.633715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e80b7af-482b-4eaa-9451-c6f42dff83bb · outbound

This paper cites Faros: A frame- work to analyze openmp compilation through benchmarking and compiler optimization analysis.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Faros: A frame- work to analyze openmp compilation through benchmarking and compiler optimization analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.883991Z

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 0af9c7f1-0f32-47f2-a522-43c777fd3066 · outbound

This paper cites Large language models for software engineering: A systematic literature review.ACM Transactions on Software Engineering and Methodology, 2023.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Large language models for software engineering: A systematic literature review.ACM Transactions on Software Engineering and Methodology, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.869536Z

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 dd1f4fc1-056f-4f36-b535-eaa5469625fd · outbound

This paper cites The openmp implementation of nas parallel bench- marks and its performance.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports The openmp implementation of nas parallel bench- marks and its performance

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.853914Z

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 a0a66175-7692-4d68-b627-795c868e128e · outbound

This paper cites A comparison of the effectiveness of chatgpt and co-pilot for generating quality python code solutions.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports A comparison of the effectiveness of chatgpt and co-pilot for generating quality python code solutions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.840738Z

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 03772895-5cc9-48bd-b95d-e8daaf7ccc85 · outbound

This paper cites Navigating compiler errors with ai assistance-a study of gpt hints in an introductory programming course.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Navigating compiler errors with ai assistance-a study of gpt hints in an introductory programming course

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.827445Z

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 c934a8e5-e267-4939-bd26-160461a143f1 · outbound

This paper cites Identification of common molecular subsequences.Journal of molecular biology, 147(1):195–197, 1981.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Identification of common molecular subsequences.Journal of molecular biology, 147(1):195–197, 1981

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.813159Z

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 ed62b8be-6161-4dd1-937b-654d1fc1f1a5 · outbound

This paper cites Dcc–help: Transforming the role of the compiler by generating context-aware error explanations with large language models.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Dcc–help: Transforming the role of the compiler by generating context-aware error explanations with large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:00:22.798370Z

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 4e202665-ff3e-4de8-9cc3-9b553b5d9a50 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:22.666850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb327108-fc36-49b4-b034-d6e973f9d9ac · outbound

This paper cites Addressing Compiler Errors: Stack Overflow or Large Language Models?.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Addressing Compiler Errors: Stack Overflow or Large Language Models?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:22.670984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8337bcba-5f89-46dd-9afc-f5c584522628 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:22.676692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b259bc-e970-47a4-ab82-5eb7b3e537b1 · outbound

This paper cites Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:22.680773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.