Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14348.
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 2026-08-10T22:40:32.153856Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e2e4af05-aa77-4de1-8797-22bd2478bf96 · inbound
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review cites this paper.
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
Reference 153
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:40:32.153856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2833cfcc-9782-47c0-9fd1-cc9c10c81087 · inbound
Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection cites this paper.
Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:22:21.816145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a192e725-6e51-4712-9382-c9e037bf23cc · inbound
Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection cites this paper.
Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T15:22:26.121513Z
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.