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Paper Citation Record · LEDGER

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:24:46.259988Z

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=sha256:0cf2ec76ed8822d924c45d23f7351ce5b60e26b6e86e9ed42d51aa705444e2fc

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:a31ee0a01ca1142028d9530018c41494c22c7093a2a8cd39186eb024d8331d15

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=sha256:2ddeb7def65b2a05e4227fb2d50b711baa4e101e5dc2c9265cf85294b25611a8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T18:56:31.975626Z digest=sha256:648c8e5603e5295b7e937e3c153f1c781c0955b6b7a019c72f6428fb3a2d545f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:27:56.130579Z digest=sha256:9203016566fb615c03b6a0d4334c2cb126e867c94d4e1d6258529a49c096c020

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:20:08.724490Z digest=sha256:35c8856f1f8f6803618e9d165c0988dde9ea17b814d39f2dc8aeb3373f703ae8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T12:26:23.359699Z digest=sha256:759f51529091e656457ea1177a052b443163609ccbaa3a2280c2ff2383b615af

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=sha256:1ee77a3bd65c7cefc8a63ca386ff808d9765cbc2e693908f8f2c9f644f21e923

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=sha256:8f6edd07c13159094ebe2861be163916eecb8c46ce8a21afecf979eaa9af533e

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=sha256:37fe2c2ebd374e46a16ccabdeab7e62139c7160d13ce942f34fc83ad542a50bc