Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:26:12.705538Z

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 93ed4121-35fc-4fbb-9110-451cb9aad8d9 · inbound

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction cites this paper.

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T17:41:45.186079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8548866-2cae-4378-afe7-4a298f54652d · inbound

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference cites this paper.

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T10:41:30.115831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2177313-aefd-468a-a300-cbeccbad4fe0 · inbound

A Survey of Secure Semantic Communications cites this paper.

A Survey of Secure Semantic Communications FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 198

Resolution: unresolved; no resolver link, observed 2026-08-10T22:44:12.079648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0836e579-ee30-404a-8d12-ca4c86185657 · inbound

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity cites this paper.

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:12.705538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 136c3b9f-a220-4baf-b0c9-95c7ccc038fb · inbound

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation cites this paper.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:00.238293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2815bd-03d3-41e1-9f10-ff53c0c8cbba · 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 FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:10.802653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-22T06:32:14.747728+00:00.