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Paper Citation Record · LEDGER

AugmenTest: Enhancing Tests with LLM-Driven Oracles

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.17461.

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

pith.paper-citation-record.v1
2501.17461 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:44:09.341059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:07:15.217960Z

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 fff211c7-ead9-41fc-bb0d-df0c4b487b01 · inbound

Mutation-Guided Unit Test Generation with a Large Language Model cites this paper.

Mutation-Guided Unit Test Generation with a Large Language Model AugmenTest: Enhancing Tests with LLM-Driven Oracles

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:07:15.219662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T11:05:15.898419Z digest=sha256:3d91e93ba820ef5f67440d4a5132fd9164d12f92f3b31cd05e156b5fe5665f8e

Observation f2bff9b7-ec02-4633-81c1-c1e5cb88a076 · inbound

Large Language Models for Unit Testing: A Systematic Literature Review cites this paper.

Large Language Models for Unit Testing: A Systematic Literature Review AugmenTest: Enhancing Tests with LLM-Driven Oracles

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T19:44:09.341059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:44:09.341059Z digest=sha256:01800e0e3b818f8e7b722bbc332498e218668661ae47f0d7e18a56e20b0986dc