Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T11:33:02.799819Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.26083.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T11:33:02.799819Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d0266842-3cbd-4a12-9ae3-2b36c7a77fac · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Ai agentic programming: A survey of techniques, challenges, and opportunities,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9a946e5-6785-4226-a3a6-506feb173813 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Evaluating Large Language Models Trained on Code
Reference 2
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Observation 3a5bbe0b-085e-4902-a926-df5b41b54f27 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Program Synthesis with Large Language Models
Reference 3
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Observation eb6613a4-338d-4d19-b260-3ff0e8859263 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms DS-1000: A natural and reliable benchmark for data science code generation,
Reference 4
Source-reported events for the cited work
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Observation 4786bf19-892b-45d0-b334-a5e2fed132a3 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Multipl-e: A scalable and polyglot approach to benchmarking neural code generation,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a5c60b8-a31b-45ea-a20e-e9ae1553e651 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms A Survey on Code Generation with LLM-based Agents
Reference 6
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Observation 02bfa65b-3558-4bf0-a070-68280ccb00e0 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms How efficient is llm-generated code? a rigorous & high-standard benchmark,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09ee3ab7-02e7-4bde-9ebb-6ffbc784b800 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Lm4hpc: Towards effective language model appli- cation in high-performance computing,
Reference 8
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Unavailable: canonical work link unavailable.
Observation b5bee89a-30f2-475d-b7e4-25341ed3fc85 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Scope is all you need: Transforming LLMs for HPC Code
Reference 9
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Unavailable: canonical work link unavailable.
Observation 8ab7303f-77a6-4ca8-8417-3480d7255519 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms HPC-Coder: Modeling Parallel Programs using Large Language Models
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47243d9f-5c08-4eb2-81c0-5325847bde86 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Ompgpt: A generative pre-trained transformer model for openmp,
Reference 11
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Unavailable: canonical work link unavailable.
Observation 3ff618e3-b0f5-45e6-b2b1-516181de7d6b · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Can large language models write parallel code?
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4119220-29b2-41bf-bdf3-682f4ff5514f · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Pcebench: A multi-dimensional benchmark for evaluating large language models in parallel code generation,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e4bcb40-56ac-48e1-963d-1175a6dca1f6 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Llm & hpc: Benchmarking deepseek’s performance in high-performance computing tasks,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bb1689b-256d-4679-afaf-fbb5394ce897 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Using chatgpt for converting sequential python programs into parallel code,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 288798ed-5cb0-4f89-9ddb-56f16fa76471 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Kernelbench: Can llms write efficient gpu kernels?
Reference 16
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Unavailable: canonical work link unavailable.
Observation 4eb8d5f3-3f40-43f0-ab46-2ba2d9abfea9 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Fine-tuning gpt-5 for gpu kernel generation,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 251155f8-5976-4437-94a8-877fccd3444d · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Peak: A performance engineering ai-assistant for gpu kernels powered by natural language transformations,
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15f7100d-ef4d-4056-9eb2-cd6e6fc1b5c7 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms KernelBench: Can LLMs Write Efficient GPU Kernels?
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a12b27ee-1fdc-42dc-8a23-e0c37cb0f012 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Kernelfoundry: Hardware-aware evolutionary gpu kernel optimization,
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3eee525e-1711-4454-a2aa-e11428075fab · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Comparing llama-2 and gpt-3 llms for hpc kernels generation,
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e41b4414-79c7-4edc-a541-bdbbb3a3475a · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Autokernel: Autonomous gpu kernel optimization via iterative agent-driven search,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd1f0be1-2509-4cfe-8273-acfce8b8466f · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms HintPilot: LLM-based Compiler Hint Synthesis for Code Optimization
Reference 23
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Unavailable: canonical work link unavailable.
Observation f41fc838-bdec-41f6-8a0e-67b7cd724500 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Should ai optimize your code? a comparative study of current large language models versus classical optimizing compilers
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9376630-4ec0-40ae-8966-6b28092f0458 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Performance-aligned llms for generating fast hpc code,
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5df3d686-da5c-4770-9566-5d3dd1ba6d32 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Evaluating ai-generated code for c++, fortran, go, java, julia, matlab, python, r, and rust,
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1798f1c-6a9c-46e4-ae61-0caf53b29e1a · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms The CLRS-Text Algorithmic Reasoning Language Benchmark
Reference 27
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Unavailable: canonical work link unavailable.
Observation 62387a01-e9cc-4112-9936-2d8083e80819 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Do Large Language Models Understand Performance Optimization?
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27031af7-547f-4081-a226-602584a6d707 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms LASSI: An LLM-based automated self-correcting pipeline for translating parallel scientific codes
Reference 29
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Unavailable: canonical work link unavailable.
Observation ed31d419-8e1e-4b2a-abd7-c52f4fe129f7 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Parallel code generation with large language model,
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1aba133a-9669-4b18-8ef1-6913262e4d0a · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Cursor: The AI code editor,
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ee64eae-394e-4d51-8c1d-a886880ee99c · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Can Large Language Models Write Parallel Code?
Reference 2024
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Unavailable: canonical work link unavailable.
Observation 3d5904d1-881c-4cb4-b0e2-1835ec3192b7 · outbound
Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Available: https://arxiv.org/abs/2508.11126
Reference 2025
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.