Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Tool for Test Case Scenarios Generation Using Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.07021.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:01:27.994594Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:46:37.044230Z
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 79c8c4e5-18ff-4361-9c93-a3a4e010a898 · inbound
COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.
COFFE: A Code Efficiency Benchmark for Code Generation A Tool for Test Case Scenarios Generation Using Large Language Models
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:01:27.994594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2959d0c1-0740-4d56-8255-54e7157db0f8 · inbound
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards A Tool for Test Case Scenarios Generation Using Large Language Models
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:46:37.047601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b17a4fc0-71c7-44f2-b6dd-9453ed240ed7 · inbound
If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons cites this paper.
If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons A Tool for Test Case Scenarios Generation Using Large Language Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:37:57.008942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e12568f6-6efb-4cdb-91ea-f0a6963333fd · inbound
PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation cites this paper.
PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation A Tool for Test Case Scenarios Generation Using Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:46:39.861148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation da80fb88-e6f8-4785-ae11-a2b78f85c5fe · inbound
FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback cites this paper.
FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback A Tool for Test Case Scenarios Generation Using Large Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:46:07.959551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.