Paper Citation Record · LEDGER

ThunderKittens: Simple, Fast, and Adorable AI Kernels

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2410.20399.

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

pith.paper-citation-record.v1
2410.20399 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:37:42.136386Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.279290Z

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 82192df9-aa83-40a2-8ecd-325c647efdc6 · inbound

Fast Video Generation with Sliding Tile Attention cites this paper.

Fast Video Generation with Sliding Tile Attention ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T22:37:42.136386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb87269-0c5b-4cd8-ae0f-061a40d6246d · inbound

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads cites this paper.

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:24.085300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 782fce6b-6a40-4773-9ce7-04df38c5fc36 · inbound

GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization cites this paper.

GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:00.994748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dddb238d-f6fa-43e3-b055-708b2d17cecf · inbound

FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models cites this paper.

FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:02.057660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2699920-4eff-4c7d-be48-b2d48bc68793 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 153

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:58:58.952782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 448fe839-69e8-429f-a150-98c7e1b23b9d · inbound

Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants cites this paper.

Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.048020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c460a44-5960-4989-b170-c3621570c278 · inbound

CuTe Layout Representation and Algebra cites this paper.

CuTe Layout Representation and Algebra ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T19:31:20.230653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be4f73c-e3b4-4751-9708-58a15b8c1cf5 · inbound

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels cites this paper.

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:24:21.528163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b4b4c57f-d665-46c5-aa6d-36b69e993910 · inbound

Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation cites this paper.

Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:44:14.815349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2bffc76-99b9-4b9b-b5da-e31ece6e093b · inbound

DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference cites this paper.

DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:36:13.829324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 492eba21-43ca-435c-b8bc-6f1af57388ab · inbound

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments cites this paper.

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:56:21.767160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2468e853-ef85-4bc7-8941-591cc2e4d19d · inbound

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments cites this paper.

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:09:44.699095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c09e16ee-ec4e-4060-9cf9-6e4ad3985e9f · inbound

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

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:23:07.120831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51671b6a-cf3b-4b03-932d-6fa703992110 · inbound

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

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:24:02.558976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8331c7bd-3b85-4b03-87bd-746879625e10 · inbound

Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection cites this paper.

Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:43:03.812264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53cd8df1-ccb2-4f6d-8354-ac9df9593d91 · inbound

Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection cites this paper.

Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T13:41:17.686467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59084fb1-4955-41f2-96e4-71d79932a963 · inbound

Veda: Scalable Video Diffusion via Distilled Sparse Attention cites this paper.

Veda: Scalable Video Diffusion via Distilled Sparse Attention ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.669109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ecea6f13-f225-4193-8df9-249be76ba616 · inbound

AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis cites this paper.

AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:29.433599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ccde9aa7-8438-4ca6-a749-293e04134f38 · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 187

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:29:38.281237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af7a50cb-300c-4eeb-b27a-25978c17cf66 · inbound

TileLens: Efficiently Using Large-Granularity Memory Systems with Transparent Two-Dimensional Memory Layout cites this paper.

TileLens: Efficiently Using Large-Granularity Memory Systems with Transparent Two-Dimensional Memory Layout ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-11T22:11:17.609849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e856ecd-f898-4804-9c14-5d9529cf6d1f · inbound

TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters cites this paper.

TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T04:49:48.001679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b4e506-56b9-4432-8acf-8d6a519d7a9a · inbound

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference cites this paper.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T20:50:03.999826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.