Paper Citation Record · LEDGER

SplitFed: When Federated Learning Meets Split Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.12088.

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

pith.paper-citation-record.v1
2004.12088 v5

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:31:31.666190Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:58.630885Z

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 a9e25195-2683-492f-b019-3ca50f502e95 · inbound

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

Federated Split Learning with Improved Communication and Storage Efficiency SplitFed: When Federated Learning Meets Split Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:31.666190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10895531-9e52-4c0d-8b90-2fe10caeb7db · inbound

SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks cites this paper.

SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks SplitFed: When Federated Learning Meets Split Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T12:42:39.266266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed08f85-2233-4a0d-a278-b57b58e50a0f · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning SplitFed: When Federated Learning Meets Split Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.217632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d0e3563-6ce6-44cc-8354-310c781ffcc1 · inbound

Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction cites this paper.

Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction SplitFed: When Federated Learning Meets Split Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:58.632563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0a87e95-57ab-4089-ad08-c747c38f5815 · inbound

Mobius Learning: Cyclic Depth Folding in Transformers cites this paper.

Mobius Learning: Cyclic Depth Folding in Transformers SplitFed: When Federated Learning Meets Split Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T16:53:42.896289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.