Paper Citation Record · LEDGER

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2506.15701.

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

pith.paper-citation-record.v1
2506.15701 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:36.596353Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:53:06.859337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:19:34.870032Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy20
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cd8522b-6af2-47f7-8a46-b285936237ba · outbound

This paper cites Opentuner: An extensible framework for program autotuning.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Opentuner: An extensible framework for program autotuning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:40.085658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de7abdad-276c-436e-a300-1f8532f95323 · outbound

This paper cites A survey on compiler autotuning using machine learning.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning A survey on compiler autotuning using machine learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:39.977414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1c84f35-6448-425e-a5f9-772b37f3cbaa · outbound

This paper cites The nas parallel benchmarks.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning The nas parallel benchmarks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:39.869624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6c25d0cc-b418-4b7b-af37-f6d58af64b69 · outbound

This paper cites Algorithms for hyper- parameter optimization.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Algorithms for hyper- parameter optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:39.745947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ec358d2-d752-41ab-b979-549e54e93845 · outbound

This paper cites Iterative compilation in a non-linear optimisation space.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Iterative compilation in a non-linear optimisation space

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:39.662112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c2c3d8d-080f-43be-b6e2-9de4b7e83034 · outbound

This paper cites Efficient compiler autotuning via bayesian optimization.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Efficient compiler autotuning via bayesian optimization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:39.506304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7364dd2d-9838-4d27-a061-1298760daf0e · outbound

This paper cites Deconstructing iterative optimization.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Deconstructing iterative optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:39.387835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc4edc8c-1716-47f2-926f-8ddd2b474072 · outbound

This paper cites Large Language Models for Compiler Optimization.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Large Language Models for Compiler Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:34.776620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb300e0-6c8d-4708-a215-05c4f387eecf · outbound

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

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:34.854994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb94fa9-160c-4c5c-92b0-7d3314f15af1 · outbound

This paper cites Compilergym: Robust, performant compiler optimization environments for ai research.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Compilergym: Robust, performant compiler optimization environments for ai research

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:39.234185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a6cfba2-2ca4-4178-8017-0f5f0fb4cf4b · outbound

This paper cites an unresolved cited work.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:41:39.062853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c8d4cf1c-da30-48da-b74b-3b025d82e106 · outbound

This paper cites Collective tuning initiative: automating and accelerating development and optimization of computing systems.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Collective tuning initiative: automating and accelerating development and optimization of computing systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:38.924004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7713b22b-0c10-44fc-92c6-f8ab9d83af68 · outbound

This paper cites Evolutionary optimization of compiler flag selection by learning and exploiting flags interactions.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Evolutionary optimization of compiler flag selection by learning and exploiting flags interactions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:38.765038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da5b95d5-34a4-4339-8323-4282531705df · outbound

This paper cites Mibench: A free, commercially representative embedded benchmark suite.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Mibench: A free, commercially representative embedded benchmark suite

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:38.604984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24bd8c4e-0db7-4271-95d1-235e91a514c9 · outbound

This paper cites Autophase: Juggling hls phase orderings in random forests with deep reinforcement learning.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Autophase: Juggling hls phase orderings in random forests with deep reinforcement learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:38.428384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42da08cc-9ea9-4ff6-9b05-360662d0963c · outbound

This paper cites Chstone: A benchmark program suite for practical c-based high-level synthesis.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Chstone: A benchmark program suite for practical c-based high-level synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:38.214286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4577dcfa-ee1c-4094-82a9-9d63e2b4e8da · outbound

This paper cites Finding Missed Code Size Optimizations in Compilers using LLMs.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Finding Missed Code Size Optimizations in Compilers using LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:35.577750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31dd1c54-86d1-4a90-acc5-aef3d62f2977 · outbound

This paper cites OpenAI o1 System Card.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning OpenAI o1 System Card

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:35.649905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54afd1dd-26fe-4bf8-b48d-6447bc70bd4d · outbound

This paper cites Search-r1: Training llms to reason and leverage search engines with reinforcement learning, 2025.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Search-r1: Training llms to reason and leverage search engines with reinforcement learning, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:38.027842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7affb8e0-954d-4c8c-b037-11cbc4a80323 · outbound

This paper cites Llvm: A compilation framework for lifelong program analysis & transformation.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Llvm: A compilation framework for lifelong program analysis & transformation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:37.843060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be3390ce-9c0e-4648-8c58-7fb549bd8507 · outbound

This paper cites Learning compiler pass orders using coreset and normalized value prediction.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Learning compiler pass orders using coreset and normalized value prediction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:37.620285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51dcb3e6-11a1-4d79-9efd-4b6ed88c1f99 · outbound

This paper cites Code-r1: Reproducing r1 for code with reliable rewards.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Code-r1: Reproducing r1 for code with reliable rewards

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:35.926532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43dfefe7-d598-4db6-854c-4226bed8d4b6 · outbound

This paper cites Ui-r1: Enhancing action prediction of gui agents by reinforcement learning, 2025.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Ui-r1: Enhancing action prediction of gui agents by reinforcement learning, 2025

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:37.486512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7cf7e3c-db82-4164-8702-ad6e31c49377 · outbound

This paper cites Towards efficient compiler auto-tuning: Leveraging synergistic search spaces.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Towards efficient compiler auto-tuning: Leveraging synergistic search spaces

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:37.312616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95d4249c-ca3a-4132-b2a5-7bc887345952 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:36.244603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ab62f9-3648-4b84-8a36-dcac1a110f1f · outbound

This paper cites Deepseekmath: Pushing the limits of mathematical reasoning in open language models.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Deepseekmath: Pushing the limits of mathematical reasoning in open language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:37.178007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88aefcd1-1146-43fc-930b-3d9ba7215352 · outbound

This paper cites Logic-rl: Unleashing llm reasoning with rule-based reinforcement learning, 2025.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Logic-rl: Unleashing llm reasoning with rule-based reinforcement learning, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:36.400958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d677146-d8d2-47d6-be17-34d8ccc47908 · outbound

This paper cites Sample efficient reinforce- ment learning with reinforce.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Sample efficient reinforce- ment learning with reinforce

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:41:37.011655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec95a667-8a08-4528-9171-2c1ea938840d · outbound

This paper cites - - dse.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning - - dse

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:41:36.791527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 996b4324-e646-4ad3-aab4-1c90c547ee1d · inbound

PassNet: Scaling Large Language Models for Graph Compiler Pass Generation cites this paper.

PassNet: Scaling Large Language Models for Graph Compiler Pass Generation Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:13.243708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffb9150a-78c3-466d-9212-11a824840a14 · inbound

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning cites this paper.

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:19:34.871590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.