Paper Citation Record · LEDGER

Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.11710.

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

pith.paper-citation-record.v1
2408.11710 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:18.422072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:23.620407Z

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 dc061698-eaf1-4d19-b9a1-0891da5eaf9a · inbound

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

Mutation-Guided Unit Test Generation with a Large Language Model Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:07:15.174365Z

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.

Observation 0d93c4ea-8b5c-49cf-ae6d-10e6531e550e · inbound

Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception cites this paper.

Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:18.422072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb2a49a-d137-4d39-a2a5-844aac881107 · inbound

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring cites this paper.

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:55:51.083408Z

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.

Observation 63f3cd2c-79e5-4cb1-92fb-f9158d15a8b0 · inbound

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring cites this paper.

Humanizing Automatically Generated Unit Test Suites with LLM-Based Refactoring Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:23.621819Z

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.