Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1809.02839.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:18.119891Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:57:09.414715Z
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 a9f70b44-adca-4f76-9177-b3c6defd25a8 · inbound
Priority-Aware Model-Distributed Inference at Edge Networks Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fd4e7a3-dcb0-40dc-9765-de4d9b5941d9 · inbound
Nesterov Method for Asynchronous Pipeline Parallel Optimization Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
Reference 2015
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d24732bd-f917-4735-aaf3-297cf917e126 · inbound
EfficientLLM: Efficiency in Large Language Models Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
Reference 242
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14bde1c9-433b-453a-8ca4-c658c49ce72e · inbound
Efficient Training on Multiple Consumer GPUs with RoundPipe Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
Reference 3
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.
Observation a5f17598-e62b-4a0f-bb74-5696981623ed · inbound
Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
Reference 3
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.