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Paper Citation Record · LEDGER

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.14752.

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

pith.paper-citation-record.v1
2502.14752 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:24:07.322759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:33:24.676653Z

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 22f921ed-e1b0-44a1-8460-bd69e9a6d380 · inbound

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

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:24:46.259988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:46.259988Z digest=sha256:9db12bfd475b6bf47ecc3fe1a7f5bf1566b949cf8788e46a8ec97a08185b3c39

Observation 06c942b9-f003-450d-ba12-e752ff36bbb4 · inbound

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation cites this paper.

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:38.144303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:38.144303Z digest=sha256:6ffa27ef836feaf41debfd3f91cc362425d2ed1b1aebec3fdca3886eb704a362

Observation 85ef1eb7-78b5-4e0b-a853-591f7f3e198a · inbound

MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation cites this paper.

MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T15:51:52.385698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:51:52.385698Z digest=sha256:bc29d863d8f26cd017991ba1be4efb46b8c8ed5a54f304c696aa5031f3c32479

Observation afc7e973-d771-48a7-8f2a-d2164f5771ac · inbound

InCoder-32B-Thinking: Industrial Code World Model for Thinking cites this paper.

InCoder-32B-Thinking: Industrial Code World Model for Thinking TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:58:08.734122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T18:56:31.975626Z digest=sha256:b0d88f79ffe5a464d3f6029d96b1db7c9d99c79483557ba792236cbd1a58a10d

Observation 35ca0c7e-ea8d-4f6c-ac5f-d7d7a36ced8c · 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 TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:08:25.952593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T08:27:56.130579Z digest=sha256:7bbea525a8c083b8465bdf9d9506e301f0f7935bdf44ede96d0f27348aa42500

Observation da1945f6-a978-4517-810a-9fb2c57b76c8 · inbound

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

FastKernels: Benchmarking GPU Kernel Generation in Production TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:20:24.390421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T05:20:08.724490Z digest=sha256:736caa8c0fc30bb2dff97d526370c348e0a09ab8474225bc7e40b686a10c6eb5

Observation 6ece54cb-68a9-4714-b00e-bc1a88a6b3a7 · 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 TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:33:24.678455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-29T12:26:23.359699Z digest=sha256:48b58823d9b9ce4cc7415b957866ba47144c06b11fe656a365d310629d2d5504

Observation 644c79a5-4546-47ce-ace6-c19468bb9ca1 · inbound

NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation cites this paper.

NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-11T19:29:32.509575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:29:32.509575Z digest=sha256:cc65f6edc77db954f474cf8458f1258e548622f4a35c5e5804b3138257af9c9e

Observation c08d0cd7-94ae-4fc4-b02c-4df345914a8a · inbound

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization cites this paper.

PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T12:13:00.522023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:13:00.522023Z digest=sha256:102b8facd72fe85f14e1046712f9b2d224ac5f2c22d956ad6b8f451e73ed0200

Observation 458cdcd1-6d4f-408a-b5db-34d194996cd8 · inbound

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits cites this paper.

CANN Bench: Benchmarking Agent Generated Kernels against Real NPU and Algorithmic Limits TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T08:11:52.132842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:11:52.132842Z digest=sha256:804dfe687eefce0600954ae430fef21fc1691f71ab64d546bf7de4eadc639383

Observation f9ad2105-9afe-42be-8ffb-ea7bd909dd1d · 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 TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:24:07.322759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:24:07.322759Z digest=sha256:b61f39e2ec38597573f2d00782039f1a17b0ac8b692c9a26e9070cd535b2f37e