Paper Citation Record · LEDGER

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 17 inbound Pith citation observations for arXiv:2507.05687.

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

pith.paper-citation-record.v1
2507.05687 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:24:47.536704Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:14.003355Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

30 of 30 outbound references displayed

verified exact2
verified fuzzy11
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

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

Outbound references

Observation 5d8b8d80-46fb-4976-a2f0-ef9f5076b314 · outbound

This paper cites \ TensorFlow \ : a system for \ Large-Scale \ machine learning.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs \ TensorFlow \ : a system for \ Large-Scale \ machine learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:49.787137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 711ecbdb-50d3-4063-a27d-7750fd4a9466 · outbound

This paper cites Looper: A learned optimizer for polyhedral compilers.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Looper: A learned optimizer for polyhedral compilers

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:24:48.269479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed7a483b-2d61-439e-b5b9-ced1f7f86f5a · outbound

This paper cites Apache TVM -- Open Deep Learning Compiler Stack.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Apache TVM -- Open Deep Learning Compiler Stack

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:49.623224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0de81956-893b-4949-ac17-9cc6c8911c7f · outbound

This paper cites Multi-turn training for cuda kernel generation.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Multi-turn training for cuda kernel generation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:49.372295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 334e7469-95bd-4e01-91f3-841ab5b6ee7b · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:45.015822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0420281a-5b03-46c4-98aa-b033c04f3393 · outbound

This paper cites Program synthesis using deduction-guided reinforcement learning.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Program synthesis using deduction-guided reinforcement learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:49.280120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 788bcc80-2c91-48b9-9f0e-5df9b406f031 · outbound

This paper cites CYCLE: Learning to Self-Refine the Code Generation.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs CYCLE: Learning to Self-Refine the Code Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:45.284074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f8e48c2-8e44-4dcc-9f60-9cf19af0f89b · outbound

This paper cites Kernelllm, 5 2025.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Kernelllm, 5 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:49.195104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff531fb9-2851-430a-a983-358862dfd0af · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:45.527307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5805b357-f07f-4ad4-b5e5-2e2d91dafa40 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:45.698763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b80b89d-02c8-494c-9755-c7accb10b481 · outbound

This paper cites Qwen2.5-Coder Technical Report.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Qwen2.5-Coder Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:45.838527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 829b0378-a18b-4b1b-9c5b-6c0f85c434ab · outbound

This paper cites The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:46.020485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e81f513a-b0d8-42e3-84b4-ee893ed55c35 · outbound

This paper cites CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:46.152190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f921ed-e1b0-44a1-8460-bd69e9a6d380 · outbound

This paper cites TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:46.259988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad2a94a-8841-4f8e-92a6-7cbbe2522c9a · outbound

This paper cites Competition-level code generation with alphacode.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Competition-level code generation with alphacode

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:24:47.972275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 153b71b2-1f57-4638-953f-08c07ca6728c · outbound

This paper cites MLIR -- Multi-Level Intermediate Representation.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs MLIR -- Multi-Level Intermediate Representation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:49.105954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff3e17b2-83f1-4fce-9314-5f53ab472729 · outbound

This paper cites What are the limitations of reinforcement learning.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs What are the limitations of reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:49.041783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 528d31df-d1c9-4b94-89e2-dcd3bba297c3 · outbound

This paper cites Automating gpu kernel generation with deepseek-r1 and inference time scaling.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Automating gpu kernel generation with deepseek-r1 and inference time scaling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:48.895783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 611acfbf-7e31-4d01-b140-9461018b34b3 · outbound

This paper cites KernelBench: Can LLMs Write Efficient GPU Kernels?.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:46.825004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec98e6c0-3fd0-443a-bb59-afab1ebee364 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Pytorch: An imperative style, high-performance deep learning library

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:48.719532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f7347a4-303c-450c-8ad4-bfa731d612ba · outbound

This paper cites Reinforcement learning strategies for compiler optimization in high level synthesis.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Reinforcement learning strategies for compiler optimization in high level synthesis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:48.594206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3820870a-ca28-400b-b87b-8b50586e6632 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:47.125319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55174fdd-5f67-4440-9fba-02c0c1e73c6b · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Hybridflow: A flexible and efficient rlhf framework

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:47.173257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3f14fee-6301-4392-a109-3dca6b36d10f · outbound

This paper cites Triton: an intermediate language and compiler for tiled neural network computations.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Triton: an intermediate language and compiler for tiled neural network computations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:24:48.418640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7d80bcec-638b-425c-b8db-01ca360ed9d4 · outbound

This paper cites Seed-Coder: Let the Code Model Curate Data for Itself.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Seed-Coder: Let the Code Model Curate Data for Itself

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:47.307968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0d9893-5650-43c5-b94c-f944da9dc0d8 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:47.355307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd9cd36-b766-4cb8-9242-7960050b9eb0 · outbound

This paper cites write newline.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs write newline

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:47.400229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb6579ba-e3ea-4c98-98bd-f4b5c97e62da · outbound

This paper cites @esa (Ref.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs @esa (Ref

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:47.438330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c6f1c4-394b-46d8-98f6-2495e1fc977a · outbound

This paper cites an unresolved cited work.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:24:47.487672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf8155c-2cf1-4c27-8686-551911f60aab · outbound

This paper cites @triton.jit.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs @triton.jit

Reference 30

Resolution: malformed identifier; no resolver link, observed 2026-08-06T19:24:47.536704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 87b53095-17e4-4de2-bed9-d9440d4b3123 · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:14.003355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be8a002-a8eb-4657-ae2e-de270d1fd6d1 · inbound

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta cites this paper.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.894739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d18b92-a88b-4426-b5ce-43d295cd31fe · inbound

Towards Automated Kernel Generation in the Era of LLMs cites this paper.

Towards Automated Kernel Generation in the Era of LLMs AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T08:49:49.057560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d873a39-a829-4847-aaf2-9e3fae31f37e · inbound

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization cites this paper.

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:20:00.064098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7bf45309-4f15-4474-a6d7-00eef630a52d · inbound

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization cites this paper.

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:18:04.228727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d9b19799-f5eb-48f1-986c-a9bd421296e2 · inbound

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels cites this paper.

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:16:08.066392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c51ffd4-a5b5-4f68-8233-c52401564508 · inbound

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels cites this paper.

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:36:24.609564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eddb09c6-163b-46eb-a676-7b137e7e8e74 · inbound

AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents cites this paper.

AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:32:47.940428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1d33e0fe-2abc-458a-b918-a651f4fcee03 · inbound

AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code cites this paper.

AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:43:14.930530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 442fa163-3549-4eea-96c9-9b07a3586d61 · inbound

FastKernels: Benchmarking GPU Kernel Generation in Production cites this paper.

FastKernels: Benchmarking GPU Kernel Generation in Production AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:20:24.384010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 04b2be78-0bd8-465b-9145-84ec2476453b · inbound

Learning When to Optimize: Verified Optimization Skills from Expert GPU-Kernel Lineages cites this paper.

Learning When to Optimize: Verified Optimization Skills from Expert GPU-Kernel Lineages AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:33:24.691106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8812bb17-e4a6-4e13-80ba-742a84200514 · inbound

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts cites this paper.

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:35:07.146777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 88f792f7-3e92-43c8-a143-16a5026d020a · inbound

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts cites this paper.

Kernel Foundry: A Diagnosis-driven Evolutionary Kernel Optimizer with Multi-Experts AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T05:17:04.983079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb04080-de0a-42a9-8416-d27f41dde862 · inbound

MusaCoder: Native GPU Kernel Generation with Full-Stack Training on Moore Threads GPU cites this paper.

MusaCoder: Native GPU Kernel Generation with Full-Stack Training on Moore Threads GPU AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T07:01:43.891512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7494281f-c732-4809-8fb4-a399581f6574 · inbound

daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization cites this paper.

daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:18:49.879103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13d3ff5a-c54f-4425-bee7-caa59336f23f · inbound

daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization cites this paper.

daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T11:15:53.701381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbde4259-6700-4597-bf7c-d0b50d046932 · inbound

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications cites this paper.

FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

Reference 1977

Resolution: unresolved; no resolver link, observed 2026-08-01T15:52:50.879063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.