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Paper Citation Record · LEDGER

Can Large Language Models Write Parallel Code?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.12554.

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

pith.paper-citation-record.v1
2401.12554 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:12:44.177498Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:12:44.647283Z

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 be779098-3f15-40ad-8f69-d1016595d602 · 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 Can Large Language Models Write Parallel Code?

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:12:44.651341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:12:44.177498Z digest=sha256:abc6e810cf51022dbc93dc6be368fabc4c2e516d5978538ee99ebda62d88d528

Observation 6ee64eae-394e-4d51-8c1d-a886880ee99c · inbound

Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms cites this paper.

Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms Can Large Language Models Write Parallel Code?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-30T11:33:01.314848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:33:01.314848Z digest=sha256:ebfc616ed091368fb29ad49315f34fdf530bc066d92d61c1a9757059e1ba9d93