Paper Citation Record · LEDGER

CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2507.14111.

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

pith.paper-citation-record.v1
2507.14111 v12

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:24:07.327044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:29:00.423017Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 cd925acc-6a93-4223-9eb5-4146574b6d0e · inbound

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization cites this paper.

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T16:52:48.833300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0cb7206-acca-42ef-b0a2-f6d817d05307 · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 200

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.851979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffab84f0-c8fc-46e0-a13b-c0da42c3a9da · 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 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T19:04:27.711731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0eac67c-39fc-4253-929c-82acc619deca · inbound

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

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95e1063d-6f95-4dfb-b8dd-e0e186bab4d2 · inbound

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

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b119731d-c6f2-49f3-8b0e-78f00dc081de · inbound

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning cites this paper.

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7130d8a5-bf5b-43f3-9dc3-83e73e3f1620 · 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 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e61e2802-eb81-4e63-8b4f-d60440f2bbda · inbound

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

FastKernels: Benchmarking GPU Kernel Generation in Production CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 628c1d86-0765-4a0b-beb0-d82db254543a · 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-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9b9664a-4073-4f32-83eb-dee6f5722f54 · 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 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b33ce55-68b9-4f93-b0fd-4e47c69c8439 · inbound

PassNet: Scaling Large Language Models for Graph Compiler Pass Generation cites this paper.

PassNet: Scaling Large Language Models for Graph Compiler Pass Generation CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e759449b-a952-4fe3-8967-83fa58e4e852 · 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 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dd96a8be-c7ad-494e-a112-224251c1021a · 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 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T05:17:04.985935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c67a07-7e43-414a-8557-31a1c6b03299 · inbound

SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation cites this paper.

SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83f2e016-62f5-4f54-9ea2-8b8d346ed990 · 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 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:20:17.802860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f83d322-917d-459d-b485-0836c1f69129 · 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 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T15:35:43.898391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd76fa3f-1b6a-494e-8013-a04d7c868fed · inbound

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization cites this paper.

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:32.077668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d62ac326-57e1-4974-9c40-44d477d16e37 · inbound

RLPF: Reinforcement Learning from Performance Feedback for Code Generation cites this paper.

RLPF: Reinforcement Learning from Performance Feedback for Code Generation CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:53:08.903173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c2a086-d479-403e-9c5a-37aa61e6dba7 · inbound

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation cites this paper.

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:38.778592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1702ffe5-cf18-42ee-a0c6-22fc3cfba091 · inbound

A Contract-Grade Verifier for LLM-Generated GPU Kernels, and a Native Blackwell Backward for the Gated-Linear-Recurrence Family cites this paper.

A Contract-Grade Verifier for LLM-Generated GPU Kernels, and a Native Blackwell Backward for the Gated-Linear-Recurrence Family CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:24:07.327044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.