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Paper Citation Record · LEDGER

Tetrad: Actively Secure 4PC for Secure Training and Inference

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.02850.

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

pith.paper-citation-record.v1
2106.02850 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:10.607095Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:47:57.291101Z

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 888503cb-51ed-42b0-8ffa-0cfe002c747e · inbound

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives cites this paper.

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives Tetrad: Actively Secure 4PC for Secure Training and Inference

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-06T15:58:10.607095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:10.607095Z digest=sha256:671fd4f877e246269ccd7ff53fc66a4c16919793db6522cdacb28721a1fc1538

Observation 2b0ca645-44f5-4bb8-95f2-9d89b765b739 · inbound

High-Throughput and Scalable Secure Inference Protocols for Deep Learning with Packed Secret Sharing cites this paper.

High-Throughput and Scalable Secure Inference Protocols for Deep Learning with Packed Secret Sharing Tetrad: Actively Secure 4PC for Secure Training and Inference

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:47:57.292916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T13:45:34.697595Z digest=sha256:39fcb705a970a9175bc263abf56a36a386390015801517c0c59de8628223b2a7