Paper Citation Record · LEDGER

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2512.02551.

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

pith.paper-citation-record.v1
2512.02551 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:16:05.110912Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.913460Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 e89d0978-6698-4d07-a706-547c71bd5372 · inbound

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

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:20.617597Z

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.

Observation 9ea188ca-f7f9-452d-a48c-676e244ac68f · inbound

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

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:20.617597Z

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.

Observation 5e36d4e4-2b4d-4531-bd51-c9748013e69f · inbound

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

AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:20.617597Z

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.

Observation 49dbefc6-4f85-47dc-ac9d-b3234bee72fb · inbound

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs cites this paper.

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:20.617597Z

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.

Observation be79aefa-e02f-4daf-9e53-d71bfaf497cb · inbound

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs cites this paper.

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:20.617597Z

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.

Observation 8d6c05a3-fbb2-4b3d-8b7d-deb084edd062 · 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 CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:20.617597Z

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.