Pith. sign in

Paper Citation Record · LEDGER

Label Leakage and Protection in Two-party Split Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.08504.

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

pith.paper-citation-record.v1
2102.08504 v3

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:43.478445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:16:15.716457Z

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 0e1afd0f-f8ed-4212-bee1-b6bfd318cda4 · inbound

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

Privacy Preserving Conversion Modeling in Data Clean Room Label Leakage and Protection in Two-party Split Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:32:43.478445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:32:43.478445Z digest=sha256:fde6c0c65c497dcb604daaea69ab7d99177a1cd1e00bcbb9cf650347e594c9fe

Observation 7ef51a40-99f4-4a62-bb51-e2b2d85157fc · inbound

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms cites this paper.

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Label Leakage and Protection in Two-party Split Learning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.376977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.376977Z digest=sha256:1494ecc75ea780d5cb274a4a7e68c5064dfe845b1381b8eb76201d52131fc88d

Observation 8ca3cf2a-958a-4dfd-bfbb-f7777868984b · inbound

LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning cites this paper.

LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning Label Leakage and Protection in Two-party Split Learning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:17:15.436937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:14:54.323233Z digest=sha256:0f85fd381c84ad81773b3623cd9810e13c75288f2987eba11ad9579770f01d2c

Observation 63237037-a463-4a5d-9076-47adcc730df6 · inbound

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference cites this paper.

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference Label Leakage and Protection in Two-party Split Learning

Reference 166

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:36:06.494311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T17:24:04.123827Z digest=sha256:d534791f2cd718d04d94d5cbbb4b646911991bcef4a6df7e2ffb902c41001bb0

Observation 0a92d934-cb1c-4ec2-9ca3-b638d015f8d9 · 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 Label Leakage and Protection in Two-party Split Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:15.718620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T15:39:24.583771Z digest=sha256:937450d041c7790a85c6640dc71bf05e3c377ffe76f13a672abd0f2ed61b781a