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Paper Citation Record · LEDGER

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2507.16710.

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

pith.paper-citation-record.v1
2507.16710 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:06:57.891289Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:05:00.297420Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:05:00.665870Z

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b98b7b33-708d-465d-a2c4-ef22c86efcb9 · outbound

This paper cites A survey on reconfigurable accelerators for cloud computing.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase A survey on reconfigurable accelerators for cloud computing

Reference 1

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Source-reported events for the cited work

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Observation f23a9d78-9fb4-462a-ae7b-5e8ddd7a4a96 · outbound

This paper cites OpenMP: an in- dustry standard API for shared-memory programming.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase OpenMP: an in- dustry standard API for shared-memory programming

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8c94fb1f-bb5f-4159-a57d-8113332d46eb · outbound

This paper cites OpenACC—first experiences with real-world applications.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase OpenACC—first experiences with real-world applications

Reference 3

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Source-reported events for the cited work

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Observation ce9bb4d2-f44e-4666-9e13-4d43289535d5 · outbound

This paper cites Offloading support for OpenMP in Clang and LLVM.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Offloading support for OpenMP in Clang and LLVM

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0b302c87-b9ff-4940-8bb8-67360aee480a · outbound

This paper cites OpenMP and automatic parallelization in GCC.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase OpenMP and automatic parallelization in GCC

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e12958d4-9606-4057-bbef-67c34282f8af · outbound

This paper cites Evaluating performance and portability of OpenCL programs.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Evaluating performance and portability of OpenCL programs

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 86475e96-4114-4cef-ac6c-5d21d58150f4 · outbound

This paper cites Performance and energy efficiency of CUDA and OpenCL for GPU computing using python.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Performance and energy efficiency of CUDA and OpenCL for GPU computing using python

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2da70cb9-ff8b-443c-95ad-3f14d62f602d · outbound

This paper cites Data parallel C++: mastering DPC++ for programming of heterogeneous systems using C++ and SYCL.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Data parallel C++: mastering DPC++ for programming of heterogeneous systems using C++ and SYCL

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 35ee071e-5d5b-4f30-a2e2-e9f6844bdc4c · outbound

This paper cites Vulkan program- ming guide: The official guide to learning vulkan.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Vulkan program- ming guide: The official guide to learning vulkan

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cb176e71-d2f5-4730-b9b0-5c22d5bd7522 · outbound

This paper cites The OpenCL Library Ecosystem: Current Status and Future Perspectives.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase The OpenCL Library Ecosystem: Current Status and Future Perspectives

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5f25b4f2-fc3e-4639-be70-12891f92c7eb · outbound

This paper cites Kokkos: Enabling manycore performance portability through polymorphic memory access pat- terns.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Kokkos: Enabling manycore performance portability through polymorphic memory access pat- terns

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c143a80f-61b0-4ee5-ae93-3f620bc8b5f3 · outbound

This paper cites RAJA: Portable per- formance for large-scale scientific applications.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase RAJA: Portable per- formance for large-scale scientific applications

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 131b7817-4554-4be5-a1d7-d4108b5049ab · outbound

This paper cites ArrayFire: a GPU acceleration platform.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase ArrayFire: a GPU acceleration platform

Reference 13

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Source-reported events for the cited work

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Observation eaed7db6-0b78-4906-9bbd-9a042a0fdb37 · outbound

This paper cites A new overview of the Trilinos project.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase A new overview of the Trilinos project

Reference 14

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Observation fb4935e9-cf35-44db-baf1-ebd73e065024 · outbound

This paper cites Scientific computing with multicore and accelerators.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Scientific computing with multicore and accelerators

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9ecaddaf-3f11-4f2b-9f8d-cc832712f13b · outbound

This paper cites Effective extensible programming: unleashing Julia on GPUs.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Effective extensible programming: unleashing Julia on GPUs

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8b9c7493-59e7-4ff2-986b-a0a08c7f5188 · outbound

This paper cites Julia: A fresh approach to numer- ical computing.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Julia: A fresh approach to numer- ical computing

Reference 17

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Observation a9cb4370-0309-44c5-8302-6a33f7842642 · outbound

This paper cites Au- tonomous Driving Decision Algorithm for Complex Multi-Vehicle Interactions: An Efficient Approach Based on Global Sorting and Local Gaming.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Au- tonomous Driving Decision Algorithm for Complex Multi-Vehicle Interactions: An Efficient Approach Based on Global Sorting and Local Gaming

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ced63cb8-08a1-438c-8c5a-e610353dd36c · outbound

This paper cites LAMMPS-a flexible sim- ulation tool for particle-based materials modeling at the atomic, meso, and continuum scales.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase LAMMPS-a flexible sim- ulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0731b523-23d9-4a2d-9eb1-23e4114a6905 · outbound

This paper cites Numerical modelling of granular flows: a reality check.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Numerical modelling of granular flows: a reality check

Reference 20

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fcb5d68e-371a-45c0-9aba-f2da4aa79ec9 · outbound

This paper cites Discrete Element Method Modelling.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Discrete Element Method Modelling

Reference 21

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7724f72d-aef9-4599-bd7d-bdb12b6fdcf0 · outbound

This paper cites KernelAbstractions.jl.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase KernelAbstractions.jl

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f2e19f27-6436-4a9c-8599-12bc8569e2c9 · outbound

This paper cites Single-pass paral- lel prefix scan with decoupled look-back.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Single-pass paral- lel prefix scan with decoupled look-back

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:06:57.548661Z digest=sha256:857de2506383a4540fac185cc43f3f1e33a6e37451e5564272134a8a2b74ec28

Observation 840f116f-688f-405a-a7b2-6418c03460c9 · outbound

This paper cites Thermodynamic properties of fluids with Lennard–Jones–Gauss potential from computer simulation and the coupling parameter se- ries expansion.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Thermodynamic properties of fluids with Lennard–Jones–Gauss potential from computer simulation and the coupling parameter se- ries expansion

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 42c7788a-2619-4cc4-9a49-256a745e792c · outbound

This paper cites MPI. jl: Julia bindings for the Message Passing In- terface.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase MPI. jl: Julia bindings for the Message Passing In- terface

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e36828c7-3037-4aaf-96f4-a379ec0e67b2 · outbound

This paper cites Hyksort: a new variant of hypercube quicksort on distributed memory architectures.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Hyksort: a new variant of hypercube quicksort on distributed memory architectures

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 38901def-303d-4793-b455-41fe69926c40 · outbound

This paper cites Samplesort: A sampling approach to minimal storage tree sorting.

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase Samplesort: A sampling approach to minimal storage tree sorting

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

Observation 107e4a3c-9e97-4470-87ca-cf2d10a6b8c6 · inbound

Julia for CFD: A Critical Survey of Ecosystem, Performance, and Composability cites this paper.

Julia for CFD: A Critical Survey of Ecosystem, Performance, and Composability AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase

Reference 10

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local_arxiv, observed 2026-08-15T23:05:00.670827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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