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Paper Citation Record · LEDGER

Split Learning for collaborative deep learning in healthcare

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:30:02.921283Z

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 5b54dbf5-8037-496a-9e3e-bb256acf8553 · inbound

Split Learning in Computer Vision for Semantic Segmentation Delay Minimization cites this paper.

Split Learning in Computer Vision for Semantic Segmentation Delay Minimization Split Learning for collaborative deep learning in healthcare

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T12:30:02.921283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:30:02.921283Z digest=sha256:874ce804be5642bf7861b3ecf3531dcc7f0d87d2b2295cfbb1ba4f7f7b9d08fa

Observation 62679cd8-312c-4310-8e4a-023ea8a05024 · inbound

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities cites this paper.

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities Split Learning for collaborative deep learning in healthcare

Reference 181

Resolution
unresolved
no resolver link, observed 2026-08-11T12:12:18.825506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:12:18.825506Z digest=sha256:f6e845c91247e1450ebb299bbc16b353af1e664674529088737849157f55912f

Observation 21da2765-42c9-46d8-8596-1b5872701838 · inbound

SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) cites this paper.

SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) Split Learning for collaborative deep learning in healthcare

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:01.881841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:01.881841Z digest=sha256:6b28d757a63a4e6a7cdee1d9e2e6e5402105edb9628b9f791215401025d6288d

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:f0bbb0416893cc3404ed52db0e74728b3d4aac5d1895cfbb1c870cceedbebd0f

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=sha256:2315a39ef1a51ef67ac82ab5aff0e8869812c0043ec7ee4c563296f9c8bcb261

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T14:01:36.549396Z digest=sha256:1ba6c128b0cd6f8318919f46b13ec1f53d634fcc2e6d3d683020230efac98f53

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=sha256:1aa27000e99912cab2d0cf9f9fe2eb1473c9c2a657760785d8ceb6b1f3c4b6a9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T04:41:56.650117Z digest=sha256:677a8f165297879101ac220a393db6fb0628d0f33b52ff70fb2e1d0813fe12b7