Pith. sign in

Paper Citation Record · LEDGER

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:44.637126Z digest=sha256:dfaf79feadeee188a474c249972b46928d6b562cac1de9a38882400382f2239e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:44.695731Z digest=sha256:6a7920ce88adb7288f1eff2b3e2a3f2d927a419776b985460f62406e8976ce16

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:44.841779Z digest=sha256:5dd9e3bf158f7dd0103fd090db98675a0effb02ee12076cb712d1bcc4d74de10

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:44.955601Z digest=sha256:b2beabce3247247b8ce76924a3b9cd6bee262cc0e3c1bbf12d4cfed50a7e33b8

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.

source=arxiv_source observed=2026-08-06T19:24:45.015822Z digest=sha256:0ec0186110caf06e82bd15b639f3ca5b0b6d76af03fbde0f16d5c415785ad31b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:45.127351Z digest=sha256:03dc4fdb48ed6ce20fb0a4a3afc9f84ff06381fc55b9bf0fa191b15796a1910a

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.

source=arxiv_source observed=2026-08-06T19:24:45.284074Z digest=sha256:1f2cef14e93fef46e6039bbcb84e24d7ae246d638d62838ddbfcdb1ada043afe

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:45.399655Z digest=sha256:9cc820ab66149ae1ac024128e378439df3d32a2ef5748efaec620d47fb8b8d0f

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.

source=arxiv_source observed=2026-08-06T19:24:45.527307Z digest=sha256:7d2ee0881663b1f3256fcee471788d6b7fc35fcfb63644931d376e48e3d83e07

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.

source=arxiv_source observed=2026-08-06T19:24:45.698763Z digest=sha256:679dfb9cfb89feb7614348471884a0f36b07a3d7542eb55499effd9315eb3bca

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.

source=arxiv_source observed=2026-08-06T19:24:45.838527Z digest=sha256:f4ff8c48c08570b2d7102c8d159a56f6c93e180ab8890013f4f938123b39f344

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.

source=arxiv_source observed=2026-08-06T19:24:46.020485Z digest=sha256:3f1d2c8f613483206f38aea579ce8381f1414c4e70f42c584ff06abf201cb2ec

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.

source=arxiv_source observed=2026-08-06T19:24:46.152190Z digest=sha256:aef15837686f2f2158e0323a7ccb9ea59c33e5e2bc04e3099d904b1b0316ce6e

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.

source=arxiv_source observed=2026-08-06T19:24:46.259988Z digest=sha256:0cf2ec76ed8822d924c45d23f7351ce5b60e26b6e86e9ed42d51aa705444e2fc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:46.274525Z digest=sha256:e51a64de66be0e641d9f2ec6a08c83cacbc78380e4645ebcf1fa6da7f3b55c3b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:46.422795Z digest=sha256:601f844723349387100d52f1b7fb42bc4be4e6f732c524b859fce8f58f560089

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:46.608893Z digest=sha256:9bf04b3a19e380d59849519cf04e28b7282faefcbc86a931dd004326825825b2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:46.724273Z digest=sha256:562c917eb4deb8cc59b20dc511f6ad158a1e2eaf6ade653f5be6bb2ad62e93f5

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.

source=arxiv_source observed=2026-08-06T19:24:46.825004Z digest=sha256:f129a33c70b4c54cc5382b82173af96a2f420afae924a95cb90598e084e7ccbe

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:46.920309Z digest=sha256:2f493744a52c20f49c5a808824b2e19e2449d1541aa9b8e7b81e9576e13e424f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:47.043193Z digest=sha256:e6885ea51a9f0648923f20852762b90876fb0461330b371cc07a81b5315c0c8e

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.

source=arxiv_source observed=2026-08-06T19:24:47.125319Z digest=sha256:2fdaab14efb9af1bb4e738dfe3813f6fb183a386035fe0966423988f35e5c1c4

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.

source=arxiv_source observed=2026-08-06T19:24:47.173257Z digest=sha256:2cf860e41ea065c4af4ad7b946ac7f0f59a588ee24306c92077a2584b5a8967f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:24:47.246284Z digest=sha256:3aa00f87a8e0af2cc3c61d90f52e688a6830e0d68e74963426c525a3dc4d1b36

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.

source=arxiv_source observed=2026-08-06T19:24:47.307968Z digest=sha256:f6b56d7ebbfce714abfc56f941a1ee0957efd6aefba60033aeaf3e66f083a476

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.

source=arxiv_source observed=2026-08-06T19:24:47.355307Z digest=sha256:cfc6da244c2aafc7e936b437300031f643832c389bd681a6ec2137b46d49baa4

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.

source=arxiv_source observed=2026-08-06T19:24:47.400229Z digest=sha256:e6045655ed908a50b9c829ac4538a84b4a3488f7bfc2be3bfbb94890404f520f

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.

source=arxiv_source observed=2026-08-06T19:24:47.438330Z digest=sha256:ed259f905a5a12b90565d8ade48110cdabce5862516b3923e7a00007239a04c2

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.

source=arxiv_source observed=2026-08-06T19:24:47.487672Z digest=sha256:51f9b0ddf7c2deb9cdb800fffec59b84d94a6463be4352391da112a5f6fd7d2b

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.

source=arxiv_source observed=2026-08-06T19:24:47.536704Z digest=sha256:d58ae8527418b0bf48c689079d0357b95754bfb3f10c289eb7436a6349193b32

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.

source=arxiv_source observed=2026-08-06T15:20:14.003355Z digest=sha256:325dd51aba6e68d8a407a0f50751c1e46e903a7466d42aa06aaffad3719e552a

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.

source=pdf_text observed=2026-08-03T13:45:23.894739Z digest=sha256:d8ae293906e3f314d25b0b6b4f4b28bbd0dd624bb3223db6aead90348a02261d

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.

source=pdf_text observed=2026-08-03T08:49:49.057560Z digest=sha256:6524e1b2e193b4fbe2bcf16ab10a5276f6468fddc7d269913f6435cff91f2c11

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T10:16:15.305706Z digest=sha256:47874cb50680a1e97d3cb90831852e8857aea4688785897a58cb51aab17307d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T22:17:13.431164Z digest=sha256:9a2fcf0c2074f2931b9a494d050ae25daa7bfb3afdd60e74e55b5261b03f12ff

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T17:45:37.586571Z digest=sha256:699a148542e8eea115fa8d96e2a24bb562d7873d4d2b377ccbe21416ed71df2e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:09:42.126464Z digest=sha256:dd66681d10ecc66d721e38b3f8f79c29c5da1d66f75a0f6f983e54a35f28af11

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T21:29:41.750117Z digest=sha256:316375177e540d81afb4399502433d9154c0ae7a55b8694a1aeb8879f93dcfc8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T11:41:58.923091Z digest=sha256:3a8a8f90ff879f75cd0ad0e030bfc8aa114cdba0a9443ca89c18ba39c609ad63

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T05:20:08.724490Z digest=sha256:b1f745044365f1394bb5f376c943dc44b4138b0d610784b6baf7dd4b285625be

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T12:26:23.359699Z digest=sha256:efe17fa497f0ac26765dbb6c424f9093725d994bb6d7b59e36c9c1b3cafddc22

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T23:33:47.477482Z digest=sha256:8c379a304a4a403208ac992981e260e6a7b743fdd18ccdcc2e060fa45357e547

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.

source=pdf_text observed=2026-08-04T05:17:04.983079Z digest=sha256:314ebf35e3dde6abd459112177733ca61653a6a7bc0bf2d2bfe1f5b06ceca5d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T06:58:31.351774Z digest=sha256:46b7c3fd0e0e5d832fa5d259c23cf7b9dde4315db9e8f89c853bb16eef52abaa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T03:13:41.931749Z digest=sha256:fc836a3b98dc396ea3aa616266c1680529ddc0483d42c429d466a34e8f8cd7c4

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.

source=pdf_text observed=2026-08-02T11:15:53.701381Z digest=sha256:2de8b2a49671793f623b6cb84c18d80342c4d599e1edeadd40bb1e76c0582afd

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.

source=pdf_text observed=2026-08-01T15:52:50.879063Z digest=sha256:21b828fa959dc8a4b6746d64c8414cb9f4c4383c147e9f285cca67340fc4955d