Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.08115.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:15.622037Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:39:42.055567Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation c78a9129-8bb1-4f4a-b0c1-039e2171c0d9 · inbound
Secure Resource Allocation via Constrained Deep Reinforcement Learning Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d58db4b7-186e-4c07-bf19-0ed866c48244 · inbound
A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a533b32a-aaff-4f81-9dfd-7b79a43e4ffb · inbound
REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2c0f376-dda4-4713-b736-60ee8643faad · inbound
StickyInvoc: Rethinking Task Models for High-throughput Workflows in the LLM Era Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.