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Paper Citation Record · LEDGER

Detailed comparison of communication efficiency of split learning and federated learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1909.09145.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1909.09145 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:43.770913Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T22:16:15.703859Z

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 eb1c0125-c6a0-48cc-a388-96c8f7f61014 · inbound

Navigating the Edge-Cloud Continuum: A State-of-Practice Survey cites this paper.

Navigating the Edge-Cloud Continuum: A State-of-Practice Survey Detailed comparison of communication efficiency of split learning and federated learning

Reference 164

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:43.770913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:43.770913Z digest=sha256:0b63673a8d2991d2571875ea85febe2f1351e769c41818bde4c0f646d041b1a8

Observation 14eae9eb-b234-4be1-8b8c-f0bf79e4aa9a · inbound

Federated Split Learning with Improved Communication and Storage Efficiency cites this paper.

Federated Split Learning with Improved Communication and Storage Efficiency Detailed comparison of communication efficiency of split learning and federated learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:31.738488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:31.738488Z digest=sha256:e8624774a0d66dd1ff9b42472f678ea08da0b10a3a2a3620526b9e89db2e7746

Observation 61f42bfa-1cd0-48cc-820e-13deb8e2227c · inbound

ProtoGuard-SL: Prototype Consistency Based Backdoor Defense for Vertical Split Learning cites this paper.

ProtoGuard-SL: Prototype Consistency Based Backdoor Defense for Vertical Split Learning Detailed comparison of communication efficiency of split learning and federated learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T12:53:49.802978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:53:49.802978Z digest=sha256:447d6b93e7b81dd35d34bfe1f5c90dd9048a73c621df6f412855f9d31ba65319

Observation 72215337-6b08-4127-a149-b8bbec8e365a · inbound

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning cites this paper.

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning Detailed comparison of communication efficiency of split learning and federated learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:15.705337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T15:39:24.583771Z digest=sha256:7799869dee523663aaf9e6d70d9caf2b2bfa64aee535c34552f9f8aa77fbf7b1

Observation cf91a009-e3e0-410a-ac2d-1003f0c4c504 · inbound

AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning cites this paper.

AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning Detailed comparison of communication efficiency of split learning and federated learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T16:41:39.017914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:41:39.017914Z digest=sha256:7343e064501a05c4792e8186745a9b679cec6f465e194e4c92dee162863dca1e