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Paper Citation Record · LEDGER

NALABS: Detecting Bad Smells in Natural Language Requirements and Test Specifications

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.05641.

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

pith.paper-citation-record.v1
2202.05641 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:14:05.660410Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:37:44.067216Z

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 107b527b-6aa2-47cf-a304-5d04456cf3e6 · inbound

SmartDelta Methodology: Automated Quality Assurance and Optimization for Incremental System Engineering cites this paper.

SmartDelta Methodology: Automated Quality Assurance and Optimization for Incremental System Engineering NALABS: Detecting Bad Smells in Natural Language Requirements and Test Specifications

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.660410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:14:05.660410Z digest=sha256:c8584a313088bb4243b998746d84a5e0f7fc3f08605b221ce1298c467f8e0ca8

Observation dc13b6c9-b1a3-4b68-b8db-b40986c9fff7 · 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 NALABS: Detecting Bad Smells in Natural Language Requirements and Test Specifications

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:37:44.174102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:37:42.511706Z digest=sha256:c216859ac7acc74429b47c41cbc03ce8f27327793f6f09712cb749b0d3d59d74