Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.19053.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:12:52.307027Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:12:52.486822Z
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 2b111b7c-6851-45e5-bfc8-0dd8ae00e7aa · inbound
Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications cites this paper.
Exploring the Capabilities of Vision-Language Models to Detect Visual Bugs in HTML5 <canvas> Applications A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:12:52.493087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.