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Paper Citation Record · LEDGER

FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.02229.

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

pith.paper-citation-record.v1
2004.02229 v2

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:28:59.276247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:46:12.358916Z

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 56543b79-5bdc-4f6e-ac66-41616a64749f · inbound

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation cites this paper.

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-03T20:28:59.276247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:28:59.276247Z digest=sha256:81ea325dbc67c78f57f23715cf28d2e64e705f40ded2aec7661ac62eb9392567

Observation 4a6a0d32-b53b-4729-b357-6e870ded9c6f · inbound

Beyond Latency: A System-Level Characterization of MPC and FHE for PPML cites this paper.

Beyond Latency: A System-Level Characterization of MPC and FHE for PPML FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:46:12.361077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T02:27:08.752499Z digest=sha256:c35be5c5a27807aa4bb178089bcbcaf148df09737613185343d7d07884f84ed4