Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.11686.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:32:18.196231Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:24:33.920532Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation b72e6bac-6ac5-4e1a-9159-69cf45c2723e · inbound
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c9ff084-8509-48e3-b5be-5e3cb19099f0 · inbound
Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d419354-e777-412b-9503-cae2b4b2e5be · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting
Reference 82
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7d381d2b-3db8-4dc8-84be-dce8ebd097d7 · inbound
Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.