Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
T-GAE: Transferable Graph Autoencoder for Network Alignment
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.03272.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:33.860376Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a2f2e4ed-7b0a-49d4-8f8e-764d4f770b3e · inbound
Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM cites this paper.
Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM T-GAE: Transferable Graph Autoencoder for Network Alignment
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:38:27.815609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58b827ca-b408-4d44-ad57-f8a1b8c73e5f · inbound
An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning cites this paper.
An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning T-GAE: Transferable Graph Autoencoder for Network Alignment
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:38:33.860376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dae58f7-1a47-4a03-84c9-ccc66458c00a · inbound
Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model cites this paper.
Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model T-GAE: Transferable Graph Autoencoder for Network Alignment
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:58:32.271932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.