Paper Citation Record · LEDGER

OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.14771.

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

pith.paper-citation-record.v1
2409.14771 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:04:22.798146Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:12:44.662229Z

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 a95ef6be-067c-4ce6-b3b3-91533bfdb10e · inbound

P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code cites this paper.

P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:22.798146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6619f63c-4d81-49f9-bec9-d265ce26059b · inbound

Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors cites this paper.

Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:12:44.666640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2fe4b56d-d998-43f7-bf3b-575b126d460a · inbound

ParBench: A Benchmark for Reliable Evaluation of LLM Parallel Code Translation cites this paper.

ParBench: A Benchmark for Reliable Evaluation of LLM Parallel Code Translation OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T11:55:17.534575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4253ba02-6936-4baa-9bb0-d29385a550bf · inbound

HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks cites this paper.

HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T11:51:17.365405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.