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Paper Citation Record · LEDGER

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.07103.

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

pith.paper-citation-record.v1
2309.07103 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:36.253808Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T16:55:02.110278Z

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 087142c7-374f-4d58-8fa4-099173f53b46 · inbound

KernelBench: Can LLMs Write Efficient GPU Kernels? cites this paper.

KernelBench: Can LLMs Write Efficient GPU Kernels? Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:55:02.113177Z

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=2026-05-15T16:55:01.976356Z digest=sha256:a5f4bb31ef1b23171206e246e75e02a697c6c35e89b053d9af9aabca1ea660d3

Observation 31449328-a827-47d1-a62b-362069052c84 · inbound

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation cites this paper.

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:36.253808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:45:36.253808Z digest=sha256:e7fe9fc2c2ad2332e703be92e319b1cdd3140daf7d132609a6bb3dae062ab716

Observation 90a1c24f-3c9a-4709-a763-cf28f6d2737b · inbound

LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests cites this paper.

LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T12:50:09.860741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:50:09.860741Z digest=sha256:72726402d1d784c6ff9979c5fffe45e2ec43d108a799e3583f40cc9c0596ad59