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Paper Citation Record · LEDGER

On the Effectiveness of LLMs for Manual Test Verifications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.12405.

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

pith.paper-citation-record.v1
2409.12405 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 2026-08-09T04:23:35.059140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:37:44.278380Z

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 8fe49fde-a48e-4c0b-be86-e23905f3a50a · inbound

Resource-Efficient & Effective Code Summarization cites this paper.

Resource-Efficient & Effective Code Summarization On the Effectiveness of LLMs for Manual Test Verifications

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-09T04:23:35.059140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:23:35.059140Z digest=sha256:1fa460cf1d899da4326b835ff1bf278545c9883fb11d13e41734fa39f095d7df

Observation ed9cc589-bfcc-4dd2-bf42-96b95d9cbecf · inbound

Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases cites this paper.

Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases On the Effectiveness of LLMs for Manual Test Verifications

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:37:44.404666Z

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=2026-08-06T16:37:42.380053Z digest=sha256:1bbd7f95b61f6a5a335798051869727740f94a112d30755b7115112e85f04099