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Paper Citation Record · LEDGER

Eliminating Label Leakage in Tree-Based Vertical Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.10318.

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

pith.paper-citation-record.v1
2307.10318 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:40.188070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:53:40.975833Z

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 4c2ae6b6-f370-48fb-9de9-db053879dd3c · inbound

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems cites this paper.

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems Eliminating Label Leakage in Tree-Based Vertical Federated Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:40.188070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.188070Z digest=sha256:d0477066069e93efc7ce9004dbc4b6edc97e2393b62dca415aea93085949ebf3

Observation 5c0f3566-c94f-4615-ab50-5ed9559ac732 · 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 Eliminating Label Leakage in Tree-Based Vertical Federated Learning

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:11.090452Z

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=2026-05-10T17:54:31.930947Z digest=sha256:b1c7848f794ce6ec9e34210acafbe6de16b5be345d802f1e24141a4fbe28896b

Observation 536ce304-968f-45e2-bec1-23e30c2e21d5 · inbound

Practical Anonymous Two-Party Gradient Boosting Decision Tree cites this paper.

Practical Anonymous Two-Party Gradient Boosting Decision Tree Eliminating Label Leakage in Tree-Based Vertical Federated Learning

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:53:40.977427Z

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=2026-06-29T16:46:43.890086Z digest=sha256:99ea45a5efca8aee3715d124da55d54a8959dfa7a00a1560d60e63209462aa36