Paper Citation Record · LEDGER

Differentially Private Label Protection in Split Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.02073.

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

pith.paper-citation-record.v1
2203.02073 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:02:02.001136Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:26:14.000786Z

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 c2ec2967-31cf-4eab-bbee-f36700fcc1d4 · 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) Differentially Private Label Protection in Split Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:02.001136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3df98c-af9f-4576-9e6a-f89304f22a91 · inbound

Privacy Preserving Conversion Modeling in Data Clean Room cites this paper.

Privacy Preserving Conversion Modeling in Data Clean Room Differentially Private Label Protection in Split Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:44.289368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0622afb-4521-446e-afd9-f57118aec960 · inbound

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation cites this paper.

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation Differentially Private Label Protection in Split Learning

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:51:11.068307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36c30be5-316d-4882-a3d4-aef6b1743de1 · 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 Differentially Private Label Protection in Split Learning

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:26:14.008055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.