Paper Citation Record · LEDGER

Liger Kernel: Efficient Triton Kernels for LLM Training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2410.10989.

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

pith.paper-citation-record.v1
2410.10989 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 32 of 32 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 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:52:54.324340Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3a9ec0b3-8fb2-4a21-9f76-98ed7625c5df · inbound

NVILA: Efficient Frontier Visual Language Models cites this paper.

NVILA: Efficient Frontier Visual Language Models Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:42:43.002506Z

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 8e1e8564-de04-405d-8b38-9bc4a1f692ca · inbound

Typhoon T1: An Open Thai Reasoning Model cites this paper.

Typhoon T1: An Open Thai Reasoning Model Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T22:52:54.324340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365d5487-b3e7-4031-995b-d7b74351da22 · inbound

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe cites this paper.

Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T22:52:27.458348Z

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Unavailable: canonical work link unavailable.

Observation ca53c770-c559-4c99-8481-ed69fb2de7c7 · inbound

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models cites this paper.

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T20:57:07.612142Z

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Observation 8e59f483-2afe-4285-b864-9f2282b6ba39 · inbound

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification cites this paper.

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:57:22.765763Z

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 67720c70-3cfd-43a9-b124-4bb834bca452 · inbound

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning cites this paper.

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:55.565011Z

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Unavailable: canonical work link unavailable.

Observation 5f8e0671-926e-4089-9ee3-c86c824530ca · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:25.008242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f6eccac-e6a0-4858-96ed-46a2d3f7d55d · inbound

RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination cites this paper.

RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:31.743576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91da4474-d693-434e-be15-8ab7ed1a45b5 · inbound

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation cites this paper.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:11.651962Z

Source-reported events for the cited work

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Observation 63b52a2a-f552-4477-aa21-89f1646fa637 · inbound

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation cites this paper.

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:20.893925Z

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Observation 6ba52778-8e90-491f-a35d-e8bedcd57bde · inbound

Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences cites this paper.

Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:30:57.663570Z

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Unavailable: canonical work link unavailable.

Observation 2b0c78f3-aa11-4ebd-a459-c7f7bb0faca0 · inbound

LRM-1B: Towards Large Routing Model cites this paper.

LRM-1B: Towards Large Routing Model Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:20:43.285732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd80956e-7de5-43ab-81d3-264a9cdcb3a3 · inbound

Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.

Docopilot: Improving Multimodal Models for Document-Level Understanding Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:56:59.556010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8d291a-99be-4ee4-a35c-e3369cdfd722 · inbound

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs cites this paper.

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:24:26.165842Z

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 e5014fc1-3918-49e3-b33f-77acdc2d8a8b · inbound

Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models cites this paper.

Genome-Factory: A Library for Tuning, Deploying, and Interpreting Genomic Foundation Models Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:54:24.636512Z

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 d137bd56-bd26-472a-8f18-842b401a1761 · inbound

Bayesian Preference Learning for Test-Time Steerable Reward Models cites this paper.

Bayesian Preference Learning for Test-Time Steerable Reward Models Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T13:20:10.986146Z

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 a30ce0bc-e422-4006-962c-38d6032f7598 · inbound

The Appeal and Reality of Recycling LoRAs with Adaptive Merging cites this paper.

The Appeal and Reality of Recycling LoRAs with Adaptive Merging Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 2799

Resolution: unresolved; no resolver link, observed 2026-08-02T23:56:45.815145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab3fe86-e1ac-483d-84e4-e8d895241fa7 · inbound

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU cites this paper.

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T23:47:39.219131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e33796ca-c4e0-4561-a13f-bbb040afb336 · inbound

BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs cites this paper.

BOSCH: Black-Box Binary Optimization for Short-Context Attention-Head Selection in LLMs Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:45:47.966378Z

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 ed8a61af-dd26-4b42-a899-5eb1772e3c90 · inbound

Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation cites this paper.

Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:55:04.076374Z

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 59bdf366-9096-480c-96e9-d7851f5bfce2 · inbound

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation cites this paper.

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:23:37.425143Z

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 a576adee-ad0a-4876-b8cb-a07c0a2f95d1 · inbound

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation cites this paper.

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:26:20.522718Z

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 fee46804-1e3d-47d3-a7e2-fc5487d2ef41 · inbound

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation cites this paper.

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:35:24.257256Z

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 e3c231f3-6fe2-403d-affa-777ebd102d36 · inbound

Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation cites this paper.

Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:52:46.221978Z

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 cc985b1d-34a0-464b-9808-d2b9d17b121a · inbound

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

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:23:07.117366Z

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 5b7cf11d-6126-474c-9135-42e5a85a5904 · inbound

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

CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:24:02.555799Z

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 d0439929-9909-4fe5-9b59-49535bf4d96a · inbound

RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment cites this paper.

RightNow-Arabic-0.5B-Turbo: An Open Sub-1B Arabic Language Model via Vocabulary Injection and Edge-First Deployment Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T23:41:46.854165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f7eab8-c32d-4920-868f-18535a3d8d19 · inbound

LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories cites this paper.

LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:48:33.487777Z

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 cb7a781b-31a5-4445-8fde-45448adadfb8 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:09:46.478143Z

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 4ecb26e8-b104-4caa-989d-4864b88023f2 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:17.240833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf2d393-17e5-47d8-bbef-e1099b506db6 · inbound

Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation cites this paper.

Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:05:49.753887Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ac74de85-89ad-49d8-82c2-2622d1e69176 · inbound

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD cites this paper.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:39.291065Z

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Unavailable: canonical work link unavailable.