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Paper Citation Record · LEDGER

Split Learning for collaborative deep learning in healthcare

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1912.12115.

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

pith.paper-citation-record.v1
1912.12115 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 2026-08-06T18:40:39.197915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:45:20.542635Z

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 09c078be-2510-42c1-907a-4cc454afa87d · inbound

HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric cites this paper.

HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric Split Learning for collaborative deep learning in healthcare

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:40:39.197915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:39.197915Z digest=sha256:ef7992b7dde0cc6ece47965e19c1d11d823daf35b7e52f95a1ca98b9ce29d35a

Observation 7f7162c7-f3ad-4b86-a0b5-73fc4831ab5a · inbound

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

Federated Split Learning with Improved Communication and Storage Efficiency Split Learning for collaborative deep learning in healthcare

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T15:31:31.722814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:31:31.722814Z digest=sha256:e62ec27debc7eae97912ea14a6ac256c7fa3792337c9c73967f2dc4ec4def641

Observation 03dbe507-2cfa-43d6-a4dd-19b8eebb3b3c · inbound

HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training cites this paper.

HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training Split Learning for collaborative deep learning in healthcare

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T14:02:58.065266Z

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=2026-05-16T14:01:36.549396Z digest=sha256:734d1cba795ac574e3a74e5800f2f83626288e93a33988e956fb61183ad5e83d

Observation a7585fb3-bbd4-4fa1-b359-9855aa028cf0 · 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 Split Learning for collaborative deep learning in healthcare

Reference 5

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=sha256:56abd97cad10aa8032710c06b792a1e91ac3a324362aac6e46be008caa2d5aac

Observation 0d724e18-1dec-4d38-a441-d83cf1f38c61 · inbound

What Does the Server See? Understanding Privacy Leakage from Large Language Models in Split Inference cites this paper.

What Does the Server See? Understanding Privacy Leakage from Large Language Models in Split Inference Split Learning for collaborative deep learning in healthcare

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.545541Z

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=2026-05-25T04:41:56.650117Z digest=sha256:f124c23956904f20a60d56f1ca8269ac7bb59bf47d22f79e4dad154e8ac803a6