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Paper Citation Record · LEDGER

Kevin: Multi-Turn RL for Generating CUDA Kernels

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2507.11948.

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

pith.paper-citation-record.v1
2507.11948 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T08:42:42.063339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:29:00.387986Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-21T10:16:15.305706Z digest=sha256:f9e4d7ef428699ff77ae8fbe87c69311edcb26cf936060cc8778e839e8540423

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-14T22:17:13.431164Z digest=sha256:5874e28866aacc80d91738a5784cec6a8cc08aa255951359955ae4df402e6e5e

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-13T18:56:31.975626Z digest=sha256:b2432d5d2bb1751465b75d207a94fc90324047015fb18499da9c2abf2bca555b

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-10T08:27:56.130579Z digest=sha256:adf22685b765cf874d9a0ac90b02b301042c1f014126916cac9ab85908af3cc7

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-12T01:43:06.644640Z digest=sha256:5d42fe9a9056ffab0a122764cd73b4498ddaee2ef6527e1bbfcb982a8a7bfcb8

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-06-30T22:54:20.299335Z digest=sha256:947884a20f8fabdc0606fe496488a18dfdc9d9675bed84dad0732b79505ba7bb

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-12T03:24:06.877354Z digest=sha256:36a367ebf64f528a4265730eefce1be6a077a4b5e8ea4948112d292b8e22b727

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-25T05:20:08.724490Z digest=sha256:5c51b3f9152990ab34808bd6d0b4577728088f29eae61833677836f3acdee2dc

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-06-29T23:16:05.110912Z digest=sha256:78aab7172ffe43b69658adad3f727a342d8e6c984f3fac63d5b283df6ff91756

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 2026-07-31T06:34:12.847434+00:00.

source=arxiv_source observed=2026-06-29T12:26:23.359699Z digest=sha256:ea1fdc684e88601e62abe3a769513c00294d57f445b6d98b1f8b5406d05a1844

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-06-29T07:53:06.859337Z digest=sha256:46751daed36ee0b783d9d918eaf5ef606681ea6fcba8e4900d462be38424fdf2

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-06-30T23:33:47.477482Z digest=sha256:cfc7f49b16c14f0610b875fec2a68763ef145e861080d9b89644dd56d6b2ab3b

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-06-26T23:35:32.175768Z digest=sha256:bfd19ec22c6b020d5a0b966d03839da521655b4b302c94f3ad1bc8b082918e3e

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-06-30T06:06:37.832064Z digest=sha256:c56aada11d6b053c0828f492268a672b929466881f8b6ce514c96faeb55025eb

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-07-03T15:01:18.911340Z digest=sha256:664ffdc41f9a60e16d5bfea96b8185a01561f8eb64a8fbcd3f9b6e9ad335b9f3

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.

source=pdf_text observed=2026-07-12T08:42:42.063339Z digest=sha256:3244bc936f2ff28da9546e93f0f069d93651980425836d2a96da461343fcbd4e