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Paper Citation Record · LEDGER

LLM-Based Design Pattern Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.18458.

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

pith.paper-citation-record.v1
2502.18458 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:10:06.651054Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:11:20.037413Z

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 d446b817-71c4-460d-93c4-1843012c972e · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing LLM-Based Design Pattern Detection

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T21:10:06.651054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:10:06.651054Z digest=sha256:5cac61767f540e864fc7b23183f75c14bd6435ef0e3eb60e7f1377eff7d272f6

Observation 03ae60c2-0583-462d-b7a2-0e66501c711f · inbound

A Pilot Study on Detecting Software Design Patterns with Large Language Models: An Empirical Evaluation cites this paper.

A Pilot Study on Detecting Software Design Patterns with Large Language Models: An Empirical Evaluation LLM-Based Design Pattern Detection

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.038823Z

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=2026-05-10T06:10:55.741226Z digest=sha256:d2526829634f4cbd90fe7e6c9315a147ad4330348d150c47f21caa8c2d81091f