Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving the Readability of Automatically Generated Tests using Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.18843.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:18.419223Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T16:22:39.566099Z
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 9f914983-e735-4ae1-aa7e-76f90e23c740 · 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 Improving the Readability of Automatically Generated Tests using Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:53:18.419223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb882bdc-1b12-49b0-a4e0-edc34c7367f1 · inbound
Probing Privacy Leaks in LLM-based Code Generation via Test Generation cites this paper.
Probing Privacy Leaks in LLM-based Code Generation via Test Generation Improving the Readability of Automatically Generated Tests using Large Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:22:39.567906Z
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.