Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:02:44.482544Z
Paper Citation Record · LEDGER
Kevin: Multi-Turn RL for Generating CUDA Kernels
As of 20 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 28 inbound Pith citation observations for arXiv:2507.11948.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:52:48.796751Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T22:29:00.387986Z
Reference resolution
67 of 67 outbound references displayed
- verified exact0
- verified fuzzy30
- unresolved36
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0a7bd183-13a3-4e14-b694-791e652ffd31 · outbound
This paper cites Concrete problems in ai safety, 2016.
Kevin: Multi-Turn RL for Generating CUDA Kernels Concrete problems in ai safety, 2016
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:37.716853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5e2c076-e17e-49c8-86eb-fd0b5b618a08 · outbound
This paper cites Le, Christopher Ré, and Azalia Mirhoseini.
Kevin: Multi-Turn RL for Generating CUDA Kernels Le, Christopher Ré, and Azalia Mirhoseini
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:37.770626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 908ad037-323e-4663-a0c3-90e196941179 · outbound
This paper cites Gonzalez, and Ion Stoica.
Kevin: Multi-Turn RL for Generating CUDA Kernels Gonzalez, and Ion Stoica
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:37.908432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 264218f1-5fe7-4531-8718-759822c4f075 · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:38.046691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 486c0110-96a0-423a-97e7-5752f0e22b55 · outbound
This paper cites Automating gpu kernel generation with deepseek- r1 and inference-time scaling.
Kevin: Multi-Turn RL for Generating CUDA Kernels Automating gpu kernel generation with deepseek- r1 and inference-time scaling
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:50.570501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7c94f462-af32-41d0-87f2-7a6e94890428 · outbound
This paper cites Warpdrive: An agentic workflow for ninja gpu transformations.
Kevin: Multi-Turn RL for Generating CUDA Kernels Warpdrive: An agentic workflow for ninja gpu transformations
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:50.231647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 370f31e3-e3a4-4378-b821-34877dea68ac · outbound
This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning, 2023.
Kevin: Multi-Turn RL for Generating CUDA Kernels Flashattention-2: Faster attention with better parallelism and work partitioning, 2023
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:38.412758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8401544f-6539-406d-adea-773b174f9047 · outbound
This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.
Kevin: Multi-Turn RL for Generating CUDA Kernels Fu, Stefano Ermon, Atri Rudra, and Christopher Ré
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:38.515282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78d9d8b4-9497-48f0-8e98-d64f1ed5b6d4 · outbound
This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:38.628308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b4641b1-e88f-4149-96af-a34f9200e92b · outbound
This paper cites Gemini 2.5: Our most intelligent models are getting even bet- ter.
Kevin: Multi-Turn RL for Generating CUDA Kernels Gemini 2.5: Our most intelligent models are getting even bet- ter
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:50.044013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6cf5fccd-df10-476c-89eb-917149a0dab0 · outbound
This paper cites Bartlett, Ilya Sutskever, and Pieter Abbeel.
Kevin: Multi-Turn RL for Generating CUDA Kernels Bartlett, Ilya Sutskever, and Pieter Abbeel
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:38.800696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c0292a5-2658-44dd-abb4-83e6b2b5e678 · outbound
This paper cites Codemonkeys: Scaling test-time compute for software engineering, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Codemonkeys: Scaling test-time compute for software engineering, 2025
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:38.917350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbfa5d30-c513-4a6d-850d-a4290c812794 · outbound
This paper cites Rlef: Grounding code llms in execution feedback with reinforcement learning, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Rlef: Grounding code llms in execution feedback with reinforcement learning, 2025
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:39.032733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab71fa39-8595-4a41-8c0e-3d490ebba9cc · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:02:49.851401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b2f20324-459e-41a5-a330-a0267c0dfe81 · outbound
This paper cites Alphaevolve: A gemini-powered coding agent for designing advanced algorithms, May 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Alphaevolve: A gemini-powered coding agent for designing advanced algorithms, May 2025
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:49.722393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation adda0869-c854-408e-ac5a-d58827759369 · outbound
This paper cites Openrlhf: An easy-to-use, scalable and high-performance rlhf framework, 2024.
Kevin: Multi-Turn RL for Generating CUDA Kernels Openrlhf: An easy-to-use, scalable and high-performance rlhf framework, 2024
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:49.573632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c017636-41aa-43bb-bf7f-b490aa865b74 · outbound
This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan.
Kevin: Multi-Turn RL for Generating CUDA Kernels Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:39.365559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f538d22-e0cd-467f-ad65-b57332470382 · outbound
This paper cites The stack: 3 tb of permissively licensed source code, 2022.
Kevin: Multi-Turn RL for Generating CUDA Kernels The stack: 3 tb of permissively licensed source code, 2022
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:39.454227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 994d721d-8ef2-4570-881c-fe7542d6400a · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
Kevin: Multi-Turn RL for Generating CUDA Kernels Gonzalez, Hao Zhang, and Ion Stoica
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:49.420206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 985963c8-f033-409a-920e-90e66ba15741 · outbound
This paper cites Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D.
Kevin: Multi-Turn RL for Generating CUDA Kernels Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:39.670738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea6ec814-cef0-4f46-b399-a188e62a4ca1 · outbound
This paper cites The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition, 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:49.252860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fbbd5c5c-1d72-40ee-8b94-5cbd3a3a7355 · outbound
This paper cites Tritonbench: Benchmarking large language model capabilities for generating triton operators, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Tritonbench: Benchmarking large language model capabilities for generating triton operators, 2025
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:39.889019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f951b42-dbe5-4b0d-9d1d-f0f4e15e132c · outbound
This paper cites Starcoder: may the source be with you!, 2023.
Kevin: Multi-Turn RL for Generating CUDA Kernels Starcoder: may the source be with you!, 2023
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:49.082607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a8f83dc6-396b-4c8b-ae39-af5869b70f18 · outbound
This paper cites Rltf: Reinforcement learning from unit test feedback, 2023.
Kevin: Multi-Turn RL for Generating CUDA Kernels Rltf: Reinforcement learning from unit test feedback, 2023
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:48.934917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6e3c9e77-8c31-4a7d-a15c-b33dd2abef31 · outbound
This paper cites Understanding r1-zero-like training: A critical perspective, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Understanding r1-zero-like training: A critical perspective, 2025
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:40.230633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a78a428-35c7-487f-93e8-6dac163f1c63 · outbound
This paper cites Deepcoder: A fully open-source 14b coder at o3-mini level.
Kevin: Multi-Turn RL for Generating CUDA Kernels Deepcoder: A fully open-source 14b coder at o3-mini level
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:48.735720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3820b2c3-5891-45c4-a740-bead6bf69795 · outbound
This paper cites Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Sto- ica.
Kevin: Multi-Turn RL for Generating CUDA Kernels Tang, Manan Roongta, Colin Cai, Jeffrey Luo, Li Erran Li, Raluca Ada Popa, and Ion Sto- ica
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:48.526909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5142138f-e7d3-483c-83a3-2f56393ed435 · outbound
This paper cites Measuring automated kernel engineering, February 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Measuring automated kernel engineering, February 2025
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:48.385886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 19c8e387-3eb3-4479-b82a-d23999ecca0f · outbound
This paper cites Scalable parallel programming with cuda.
Kevin: Multi-Turn RL for Generating CUDA Kernels Scalable parallel programming with cuda
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:48.230006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 599a9aa2-242e-49ba-a9ca-591ec0f3ee9b · outbound
This paper cites Lee, Ed H.
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:48.128205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7fcfb524-b4f7-456c-8370-c5e3bb0b5b5b · outbound
This paper cites Gpu mode at nvidia gtc 2025, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Gpu mode at nvidia gtc 2025, 2025
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:47.998420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b43bf19a-f50d-4911-a7f0-2b96b7b57986 · outbound
This paper cites Cutlass: Cuda templates for linear algebra subroutines, May 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Cutlass: Cuda templates for linear algebra subroutines, May 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:47.862699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1828f03e-cde0-45e5-b15f-075b54006f98 · outbound
This paper cites Zhang, William Hu, Christopher Ré, and Azalia Mirhoseini.
Kevin: Multi-Turn RL for Generating CUDA Kernels Zhang, William Hu, Christopher Ré, and Azalia Mirhoseini
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:41.007723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec612b63-b133-419e-a852-7e0a9d80dd9c · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:02:47.740822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b6e797ff-9c65-41be-95bb-9919601a1ceb · outbound
This paper cites Putting the value back in rl: Better test-time scaling by unifying llm reasoners with verifiers, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Putting the value back in rl: Better test-time scaling by unifying llm reasoners with verifiers, 2025
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:47.585512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4fe2a9fa-629e-45e7-82f7-4229c247c509 · outbound
This paper cites Llms are greedy agents: Effects of rl fine-tuning on decision-making abilities, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Llms are greedy agents: Effects of rl fine-tuning on decision-making abilities, 2025
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:41.365977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c836b34c-cedd-4407-a84a-3929f95b46ea · outbound
This paper cites Proximal policy optimization algorithms, 2017.
Kevin: Multi-Turn RL for Generating CUDA Kernels Proximal policy optimization algorithms, 2017
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:41.426044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6d68860-f949-4439-87f7-0b5e5991ae9d · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:02:47.412569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e8f066b2-7645-4f43-8b42-b21236371ce2 · outbound
This paper cites Learning performance-improving code edits, 2024.
Kevin: Multi-Turn RL for Generating CUDA Kernels Learning performance-improving code edits, 2024
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:41.621229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6f27d15-1239-441f-ba9f-2b284b44abf1 · outbound
This paper cites Mastering chess and shogi by self-play with a general reinforcement learning algorithm, 2017.
Kevin: Multi-Turn RL for Generating CUDA Kernels Mastering chess and shogi by self-play with a general reinforcement learning algorithm, 2017
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:41.736142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45a75b80-3026-4195-8576-16949a5ca949 · outbound
This paper cites Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024.
Kevin: Multi-Turn RL for Generating CUDA Kernels Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:41.844789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae984368-78e2-494f-99aa-c2b3f3ea0a5c · outbound
This paper cites Spector, Simran Arora, Aaryan Singhal, Daniel Y.
Kevin: Multi-Turn RL for Generating CUDA Kernels Spector, Simran Arora, Aaryan Singhal, Daniel Y
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:47.274098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 83cd90d4-c30d-42ab-b147-ef16c01e9f67 · outbound
This paper cites Training a generally curious agent, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Training a generally curious agent, 2025
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:47.174414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation af9ae08a-7ba4-467b-b614-cac24938be24 · outbound
This paper cites Kimi k1.5: Scaling reinforcement learning with llms, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Kimi k1.5: Scaling reinforcement learning with llms, 2025
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:42.120434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42140f02-9784-4ffb-bb11-b7c00a515fcc · outbound
This paper cites Sky-t1: Train your own o1 preview model within $450.
Kevin: Multi-Turn RL for Generating CUDA Kernels Sky-t1: Train your own o1 preview model within $450
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:42.215393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ee8bf8e-6f57-4746-b41d-ee73f2e5e71a · outbound
This paper cites Intellect-2: A reasoning model trained through globally decentralized reinforcement learning, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Intellect-2: A reasoning model trained through globally decentralized reinforcement learning, 2025
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:46.993805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ca789807-ab56-4df6-be1c-6b82bc6c5408 · outbound
This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Qwq-32b: Embracing the power of reinforcement learning, March 2025
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:42.457168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bdd59a0-a8a3-4cb3-8f8c-3d9386aa5ea1 · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:42.564921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e583a8a-9b63-47b9-8029-da0fd197eec4 · outbound
This paper cites Ecco: Can we improve model-generated code efficiency without sacrificing functional correctness?, 2024.
Kevin: Multi-Turn RL for Generating CUDA Kernels Ecco: Can we improve model-generated code efficiency without sacrificing functional correctness?, 2024
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:46.851958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 34c42493-cd15-4ec1-b0e9-491bb6ba8972 · outbound
This paper cites Zero++: Extremely efficient collective commu- nication for giant model training, 2023.
Kevin: Multi-Turn RL for Generating CUDA Kernels Zero++: Extremely efficient collective commu- nication for giant model training, 2023
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:46.680216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 162d1052-4331-4ebf-953e-d861458fc221 · outbound
This paper cites Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H.
Kevin: Multi-Turn RL for Generating CUDA Kernels Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:42.882939Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a60b80-3d23-4caf-8cba-0e6c4d649727 · outbound
This paper cites Reinforcement learning for reasoning in large language models with one training example, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Reinforcement learning for reasoning in large language models with one training example, 2025
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:46.531676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a0624456-b9ae-4fac-a8f9-a2be7bc54a56 · outbound
This paper cites Ragen: Understanding self-evolution in llm agents via multi-turn reinforcement learning, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Ragen: Understanding self-evolution in llm agents via multi-turn reinforcement learning, 2025
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:46.400868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a07e7628-9de1-4bd5-8bb2-8e0e52a459ec · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:02:46.243865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88cdb48e-9a3f-436e-8e8f-82d24cdb4792 · outbound
This paper cites Towards system 2 reasoning in llms: Learning how to think with meta chain-of-thought, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Towards system 2 reasoning in llms: Learning how to think with meta chain-of-thought, 2025
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:46.083782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 89100833-2cca-4c22-811e-b7f46327ee73 · outbound
This paper cites FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.
Kevin: Multi-Turn RL for Generating CUDA Kernels FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:43.507686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edd9555f-c826-4668-aadc-242e257794aa · outbound
This paper cites Dapo: An open-source llm reinforcement learning system at scale, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Dapo: An open-source llm reinforcement learning system at scale, 2025
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:43.639280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4f35d49-41f7-40be-af7c-a17f4a6accca · outbound
This paper cites Does reinforcement learning really incentivize reasoning capacity in llms beyond the base model?, 2025.
Kevin: Multi-Turn RL for Generating CUDA Kernels Does reinforcement learning really incentivize reasoning capacity in llms beyond the base model?, 2025
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:43.732164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2405bc32-944f-4c1c-9e44-e8e1880a011f · outbound
This paper cites Deepgemm: clean and efficient fp8 gemm kernels with fine-grained scaling.
Kevin: Multi-Turn RL for Generating CUDA Kernels Deepgemm: clean and efficient fp8 gemm kernels with fine-grained scaling
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:45.925455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3f4041b6-18c6-4acc-b75a-4324cafd5f7e · outbound
This paper cites Minif2f: a cross-system benchmark for formal olympiad-level mathematics, 2022.
Kevin: Multi-Turn RL for Generating CUDA Kernels Minif2f: a cross-system benchmark for formal olympiad-level mathematics, 2022
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:02:43.932409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1af03eb-87e9-41f6-a408-478fb64d873c · outbound
This paper cites Archer: Training language model agents via hierarchical multi-turn rl, 2024.
Kevin: Multi-Turn RL for Generating CUDA Kernels Archer: Training language model agents via hierarchical multi-turn rl, 2024
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:45.685674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d039b341-9518-4f29-852b-e212aa614854 · outbound
This paper cites Improving multi-turn tool use with reinforcement learning.
Kevin: Multi-Turn RL for Generating CUDA Kernels Improving multi-turn tool use with reinforcement learning
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:45.487366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dbc77750-81a4-430c-88d1-3a78e80d79ed · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:02:45.320141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 291afe17-dd9b-485d-886f-3edd0c74f5d8 · outbound
This paper cites We also ask it to generate sample tensor sizes for the task.
Kevin: Multi-Turn RL for Generating CUDA Kernels We also ask it to generate sample tensor sizes for the task
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:45.072245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6da7b0f1-4772-4d92-9e7c-df10dc8e5c98 · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:02:44.927750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 06f89d91-28ad-416e-a5b0-bb39d977de76 · outbound
This paper cites "" 7 Simple model that performs Layer Normalization. 8.
Kevin: Multi-Turn RL for Generating CUDA Kernels "" 7 Simple model that performs Layer Normalization. 8
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:02:44.729040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6fea800c-415e-45cc-9ebe-8f3dec6e0287 · outbound
This paper cites an unresolved cited work.
Kevin: Multi-Turn RL for Generating CUDA Kernels Unresolved cited work
Reference 2025
- Resolution
- parse uncertain
- no resolver link, observed 2026-08-06T17:02:38.223669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation b683da53-5549-4f81-b824-1b0157d8bf3c · inbound
SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization cites this paper.
SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:52:48.796751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 535ee78e-d49f-4a8e-94c9-c5b3e57f91fa · inbound
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning cites this paper.
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:04:27.222436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e063c74a-bf05-49cb-808f-89a132b5fac5 · 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 Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:45:23.116995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fba3d5f-733d-4ee9-99d1-7f48f8b58973 · inbound
AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization cites this paper.
AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:20:00.045508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3f03d00a-cb56-4945-9ba7-03aa5b4764fd · inbound
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization cites this paper.
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:18:04.181510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3faded56-c20c-4182-b3db-3ba1b81f46cd · inbound
InCoder-32B-Thinking: Industrial Code World Model for Thinking cites this paper.
InCoder-32B-Thinking: Industrial Code World Model for Thinking Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:58:08.660491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2d0e2179-5344-4719-be68-2fc528e8caac · inbound
AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation cites this paper.
AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T09:08:25.936470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ca411864-36f3-4ac9-b7e4-f52c4b3bbef7 · inbound
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging cites this paper.
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:46:14.213083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6eeff244-acd2-4e8c-beec-43828bc6bb5d · inbound
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging cites this paper.
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:35:46.950818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c72586f9-17b9-4895-aa2b-08df83060519 · inbound
CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs cites this paper.
CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:26:19.470835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0a80694b-cb1f-422f-8b56-397975b7356f · inbound
FastKernels: Benchmarking GPU Kernel Generation in Production cites this paper.
FastKernels: Benchmarking GPU Kernel Generation in Production Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:20:24.404916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 79b45b7d-ce51-42be-9fc4-c64ebd7345fa · inbound
Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization cites this paper.
Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T23:24:01.864782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7fa4db39-d853-4e15-9333-61b9aaad65f7 · 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 Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:33:24.684781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f0273d78-45dd-4ddd-a287-1356ef9dc343 · inbound
PassNet: Scaling Large Language Models for Graph Compiler Pass Generation cites this paper.
PassNet: Scaling Large Language Models for Graph Compiler Pass Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:53:13.251882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 425de9c4-8294-40a6-836d-03a2e901d2a1 · 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 Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:35:07.157854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d22d16c-a45a-4d68-b026-0fe2912237ef · 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 Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:17:04.965673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0043db8c-d393-48c1-9038-9a0667192661 · inbound
SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation cites this paper.
SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T22:29:00.389666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f0db2be6-dc3d-4c4e-9131-33c35e2aaf72 · inbound
The FIL Hypothesis: Inductive Biases Help with Kernel Engineering cites this paper.
The FIL Hypothesis: Inductive Biases Help with Kernel Engineering Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:24:26.952647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 84b02818-876b-42a6-8020-54e257458065 · inbound
Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation cites this paper.
Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:08:32.483938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5cacdf76-dff1-4988-88f2-57f624e95e67 · inbound
Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation cites this paper.
Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:42:42.063339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8e838f2-032c-4fd8-b861-5e53725559d9 · 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 Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:52:50.146953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7930720-6f3c-4bcc-bd0a-d0a1e1c2176e · inbound
CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits cites this paper.
CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:11:50.753543Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e28fdee3-c240-4fc2-9a30-b7015b90c302 · inbound
Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation cites this paper.
Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:35:43.831799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d769efeb-4aa7-474b-a42f-033ec73217b6 · inbound
Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization cites this paper.
Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:42:32.030503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d30955d-56b6-4ef1-aefe-c3be1ffca171 · inbound
KernelGenBench: A Multi-Source and Multi-Chip Benchmark for LLM-based Kernel Generation cites this paper.
KernelGenBench: A Multi-Source and Multi-Chip Benchmark for LLM-based Kernel Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:53:44.502494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 147af661-1cf0-4198-bd16-8bee0bd98adf · inbound
KernelGenBench: A Multi-Source and Multi-Chip Benchmark for LLM-based Kernel Generation cites this paper.
KernelGenBench: A Multi-Source and Multi-Chip Benchmark for LLM-based Kernel Generation Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:53:44.585663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaf5dee3-c334-4d6b-ae4b-a95509097072 · inbound
AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane Policies cites this paper.
AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane Policies Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:39:20.468386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15b11f46-69ff-44f9-ad14-dc34a5344dc9 · inbound
Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators cites this paper.
Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware Operators Kevin: Multi-Turn RL for Generating CUDA Kernels
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:14:20.253791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.