Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.10412.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:40.831486Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:59:39.869716Z
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 bf676690-04f1-4251-9827-d5339a4a6c01 · inbound
Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions cites this paper.
Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:40.831486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef088849-b5ac-4c26-af1c-f709654cc46c · inbound
The Impact of Software Testing with Quantum Optimization Meets Machine Learning cites this paper.
The Impact of Software Testing with Quantum Optimization Meets Machine Learning AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:39:52.496460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ef02319-4799-468b-a341-3d057e21393a · inbound
Reinforcement Learning for Autonomous Warehouse Orchestration in SAP Logistics Execution: Redefining Supply Chain Agility cites this paper.
Reinforcement Learning for Autonomous Warehouse Orchestration in SAP Logistics Execution: Redefining Supply Chain Agility AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:59:39.948055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.