Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.11710.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:44:09.215662Z
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 2026-08-16T06:30:59.297886+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 0d5d0047-8736-423c-ab58-7967433f4cd5 · inbound
Large Language Models for Unit Testing: A Systematic Literature Review cites this paper.
Large Language Models for Unit Testing: A Systematic Literature Review Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:44:09.215662Z
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.