Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Utilizing Deep Learning to Optimize Software Development Processes
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.13630.
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 2026-08-11T06:00:51.753250Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T11:26:58.310700Z
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 418d47a8-b949-4937-a5c6-d666a795018c · inbound
Detecting and Classifying Defective Products in Images Using YOLO cites this paper.
Detecting and Classifying Defective Products in Images Using YOLO Utilizing Deep Learning to Optimize Software Development Processes
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T06:00:51.753250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6ab3213-2c49-4495-bd05-181597baf6af · inbound
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network cites this paper.
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network Utilizing Deep Learning to Optimize Software Development Processes
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:59:59.955631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b774e323-9866-4f7e-8620-f46c930a3e4a · inbound
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation cites this paper.
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation Utilizing Deep Learning to Optimize Software Development Processes
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T11:26:58.314153Z
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.