Paper Citation Record · LEDGER

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

As of 13 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 17 inbound Pith citation observations for arXiv:2512.23236.

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

pith.paper-citation-record.v1
2512.23236 v4

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:45:26.384520Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:17.692396Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:56.477055Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b21ffa7d-8c19-4d7c-b753-10221183612c · outbound

This paper cites "" Generate test inputs for the conv1d benchmark. Returns: List of input tuples for benchmarking.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta "" Generate test inputs for the conv1d benchmark. Returns: List of input tuples for benchmarking

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:26.256280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc3be4f-1921-4f9b-b3be-74c3e3e9f265 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Evaluating Large Language Models Trained on Code

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.245038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9651214a-fb95-4701-9ae9-a09d438c2181 · outbound

This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.514060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae177ea-07c3-4cd9-9be1-0870d84ec4f6 · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.606608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5b9827-210b-4ca7-86d0-4fc20638f9b2 · outbound

This paper cites an unresolved cited work.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.774742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9456ce-532c-427e-b8a2-42d69905c488 · outbound

This paper cites Filescale: Fast and elastic metadata management for distributed file systems.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Filescale: Fast and elastic metadata management for distributed file systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.995333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41517040-ad4c-452d-950b-b7f825d66354 · outbound

This paper cites Flock: A Low-Cost Streaming Query Engine on FaaS Platforms.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Flock: A Low-Cost Streaming Query Engine on FaaS Platforms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.149777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 848ac868-f81a-4f48-bbfd-688372a5c7d0 · outbound

This paper cites Indexing code at scale with glean.Engineering at Meta, 2024.https://engineering.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Indexing code at scale with glean.Engineering at Meta, 2024.https://engineering

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.333393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511ccc80-3cad-4e34-bb1b-b6fc877da6a1 · outbound

This paper cites doi: 10.14778/3476311.3476374.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta doi: 10.14778/3476311.3476374

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.486486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca01176-5f3e-4d19-8d4a-a417cdc0e728 · outbound

This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Deep Learning Recommendation Model for Personalization and Recommendation Systems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.615459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8deef5d-b6dd-4c45-b18c-28a1c8c23686 · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.718311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d01128d-c344-4a7e-a199-3dfe6028e2ba · outbound

This paper cites an unresolved cited work.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.859452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a9bc960-66be-44df-b5ce-0b42d841e16d · outbound

This paper cites KernelBench: Can LLMs Write Efficient GPU Kernels?.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta KernelBench: Can LLMs Write Efficient GPU Kernels?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.924747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c2cdce6-c2d1-4158-b44d-b06399502b62 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Code Llama: Open Foundation Models for Code

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.073445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28a9f2a-d0d1-4f79-a16c-ae971cecde5b · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.169837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e65ae80-c715-4b3c-93ec-e803ad6f993c · outbound

This paper cites an unresolved cited work.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.283340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392fefee-f7ba-4809-b6b5-2dd34a97aef5 · outbound

This paper cites Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, and Yoram Bachrach.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, and Yoram Bachrach

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.429320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5532370f-e610-486e-993f-7121016e220e · outbound

This paper cites Catransformers: Carbon aware transformers through joint model-hardware optimization, 2025a.https://arxiv.org/abs/2505.01386.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Catransformers: Carbon aware transformers through joint model-hardware optimization, 2025a.https://arxiv.org/abs/2505.01386

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.585191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 922ae791-e02a-400c-ac92-4fa5eba117d5 · outbound

This paper cites Tritonrl: Training llms to think and code triton without cheating.arXiv preprint arXiv:2510.17891,.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Tritonrl: Training llms to think and code triton without cheating.arXiv preprint arXiv:2510.17891,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.682913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81b273f5-8768-4a37-b0f8-5d9f82937e80 · outbound

This paper cites Sustainable AI: Environmental Implications, Challenges and Opportunities.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Sustainable AI: Environmental Implications, Challenges and Opportunities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.794734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab3c915-f0ae-4cf8-86b4-400a17abe466 · outbound

This paper cites DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.896757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12bec119-2815-42f1-8a77-e766cf650bb1 · outbound

This paper cites Wukong: Towards a Scaling Law for Large-Scale Recommendation.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Wukong: Towards a Scaling Law for Large-Scale Recommendation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:25.951325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7546709b-61fe-485b-b6b0-abf00c3cc622 · outbound

This paper cites cuda"):.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta cuda"):

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:26.094302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b5b740-85d5-473b-bd31-563494051280 · outbound

This paper cites cuda" ) print(.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta cuda" ) print(

Reference 200

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:26.384520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d6f04c-c5b9-457f-8aaa-d35c3d966914 · outbound

This paper cites MLIR: A Compiler Infrastructure for the End of Moore's Law.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta MLIR: A Compiler Infrastructure for the End of Moore's Law

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.834738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93105a98-378f-465a-bb5e-632364e23704 · outbound

This paper cites Deepgemm.github, 2025.https://github.com/deepseek-ai/DeepGEMM.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Deepgemm.github, 2025.https://github.com/deepseek-ai/DeepGEMM

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.430451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d58e3ee-7e3e-4b98-8dc0-8d796741b770 · outbound

This paper cites Gevo-ml: a proposal for optimizing ml code with evolutionary computation.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Gevo-ml: a proposal for optimizing ml code with evolutionary computation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.226682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257561b4-aae0-4ed0-9d2f-82d6f9394b58 · outbound

This paper cites an unresolved cited work.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:24.403338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be8a002-a8eb-4657-ae2e-de270d1fd6d1 · outbound

This paper cites AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs.

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.

Observation e063c74a-bf05-49cb-808f-89a132b5fac5 · outbound

This paper cites Kevin: Multi-Turn RL for Generating CUDA Kernels.

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 ef5b3cd2-29b0-478c-9fdf-e3ad6ae03424 · outbound

This paper cites Anthropic.

KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Anthropic

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:23.071109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c63b94c3-8612-446c-8794-15ff1b6145bb · inbound

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

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 59155007-d8bb-4848-a850-a2355e7c9f4f · inbound

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics cites this paper.

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4e6f61db-41ca-4534-9f8d-2c27dcd40d0a · inbound

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs cites this paper.

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93f8ced4-091f-4908-8d68-04dcea875cbc · inbound

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design cites this paper.

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1a3fef23-285b-40d1-919b-59aa1f09630b · inbound

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

FastKernels: Benchmarking GPU Kernel Generation in Production KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 41ffd550-9cf2-46f8-b35f-7df9acbe8c9c · inbound

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

PassNet: Scaling Large Language Models for Graph Compiler Pass Generation KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44c3d5cf-c889-4d4a-a0ce-48f8339eb77a · inbound

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs cites this paper.

From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8efa09c6-9076-47b9-805b-659a7d033b6b · inbound

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

SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2b28305-31b6-4fcd-8222-57fdedeeb66f · inbound

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization cites this paper.

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2c9f095-4f19-434f-befa-8280e794d0a9 · inbound

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks cites this paper.

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e79da50a-a3e5-4eca-85e7-8b69c34ee883 · inbound

Experience Graphs: The Data Foundation for Self-Improving Agents cites this paper.

Experience Graphs: The Data Foundation for Self-Improving Agents KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-08T02:18:09.597449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f66e74a-7739-4045-9a94-3e6adce77fbd · inbound

Harness Engineering for LLM-Driven GPU Kernel Generation cites this paper.

Harness Engineering for LLM-Driven GPU Kernel Generation KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T16:30:09.495157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdbbadb9-a7fc-4d87-b303-ffb90626ea05 · inbound

JAXBench: Benchmarking Autonomous TPU Kernel Optimization cites this paper.

JAXBench: Benchmarking Autonomous TPU Kernel Optimization KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T13:46:46.055177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9bf2ec-22fe-4644-8be9-e2602e96d490 · inbound

MKEvolve: A Modular Multi-Agent Framework for Kernel Code Generation cites this paper.

MKEvolve: A Modular Multi-Agent Framework for Kernel Code Generation KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T10:39:34.871795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4304ab4-ac96-43a4-a99d-c69f34731980 · inbound

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

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:32.081445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57133728-bec5-4bd2-aff7-0242d2d63708 · 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 KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T04:39:20.554389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e87be3-eb61-45b1-8ec6-697cddae1004 · inbound

Architectural Implications of Agentic AI Workflows cites this paper.

Architectural Implications of Agentic AI Workflows KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:17.692396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.