Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2109.09246.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:22:20.877765Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T11:55:42.409201Z
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 5858c801-426c-4222-b91b-d2cb887310ed · inbound
Service Function Chaining Architecture for Multi-hop Split Inference and Learning cites this paper.
Service Function Chaining Architecture for Multi-hop Split Inference and Learning Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:22:20.877765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a037f134-6f4a-4b68-9b75-49880e536333 · inbound
GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems cites this paper.
GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:51:35.128499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21a5dded-4887-4799-954a-6694f9e0c56e · inbound
A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations cites this paper.
A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:26:13.866809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7cc4b685-e8c2-4d3e-ba5d-d1b6d6172605 · inbound
AC$^2$P$^2$SL: Adaptive Communication-Computation Pipeline Parallel Split Learning over Edge Networks cites this paper.
AC$^2$P$^2$SL: Adaptive Communication-Computation Pipeline Parallel Split Learning over Edge Networks Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T11:55:42.410938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.