Paper Citation Record · LEDGER

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation

As of 23 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.15102.

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

pith.paper-citation-record.v1
2506.15102 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:52:00.400840Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy37
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31c7e2f0-dcf0-4bd7-9a27-d4c6bc5db9c5 · outbound

This paper cites Secureml: A system for scalable privacy- preserving machine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Secureml: A system for scalable privacy- preserving machine learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:01.058366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1c4afc6-a366-447a-bed1-401649757b4d · outbound

This paper cites Aby3: A mixed protocol framework for ma- chine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Aby3: A mixed protocol framework for ma- chine learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:01.043682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70ebbfed-835d-40d8-8b89-cdd9e85ed603 · outbound

This paper cites Secure nn: 3-party secure computation for neural network training.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Secure nn: 3-party secure computation for neural network training

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:01.028669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

This paper cites FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning.

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 c2cb8f7c-4854-40ca-9642-b8473035920b · outbound

This paper cites Blaze: Blazing fast priva cy-preserving machine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Blaze: Blazing fast priva cy-preserving machine learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:01.015315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c40b5b0-ca73-4a88-90a8-69fb467cf8ca · outbound

This paper cites Private Machine Learning in TensorFlow using Secure Computation.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Private Machine Learning in TensorFlow using Secure Computation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:00.247707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74cbd634-e2af-467f-a821-4efcd3383b89 · outbound

This paper cites Ezpc: Programmable and eﬃcient secure two-party computation for machine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Ezpc: Programmable and eﬃcient secure two-party computation for machine learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:01.003517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db205fdf-4496-4027-afd3-fe79c98557d0 · outbound

This paper cites Crypten: Secure multi- party computa- tion meets machine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Crypten: Secure multi- party computa- tion meets machine learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.990121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33f2d472-ff0f-41a6-8d6a-9846550e7ccf · outbound

This paper cites In 2023 USENIX Annual Technical Conference (USENIX ATC 23), pages 17–33, 2023.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation In 2023 USENIX Annual Technical Conference (USENIX ATC 23), pages 17–33, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.976802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb1ba832-9df1-4211-be4e-ad6ea74a34b1 · outbound

This paper cites Flash: Fast and robust framework for privacy-preserving machine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Flash: Fast and robust framework for privacy-preserving machine learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.964496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44e1e09f-8b0c-4cd5-b094-b62d7289c602 · outbound

This paper cites T rident: Eﬃcient 4pc framework for privacy preserving machine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation T rident: Eﬃcient 4pc framework for privacy preserving machine learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.947258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 860f7e9a-35eb-4b70-a557-e1e53d5bcfe9 · outbound

This paper cites SWIFT: Super-fast and robust Privacy-Preserving machine learning.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation SWIFT: Super-fast and robust Privacy-Preserving machine learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.933947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5135967-4779-4dfb-8cea-a79d27b1cf6c · outbound

This paper cites Mp-spdz: A versatile framework for mult i-party computation.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Mp-spdz: A versatile framework for mult i-party computation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.919646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ccf8f3d7-4e28-4a39-b233-eeee82c2eb8a · outbound

This paper cites Fate: An indus- trial grade platform for collaborative learning with data p rotection.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Fate: An indus- trial grade platform for collaborative learning with data p rotection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.907083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7bfd80b3-015e-4551-a092-bfc2370b2237 · outbound

This paper cites PySyft: A Library for Easy Federated Learning , page 111–139.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation PySyft: A Library for Easy Federated Learning , page 111–139

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.894739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a260170f-87b5-49af-8f3a-574d268b2381 · outbound

This paper cites TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:00.290029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22352528-fd11-494e-ae8c-1e516baf00c1 · outbound

This paper cites Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:52:00.442131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f269aca1-8ac2-4add-b090-2f6076c2012f · outbound

This paper cites Privacy-preserving cooperative statisti- cal analysis.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Privacy-preserving cooperative statisti- cal analysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.882035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8fc8243-91de-49af-9f73-211e9719286b · outbound

This paper cites Sharemind: A framework for fast privacy-preserving computations.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Sharemind: A framework for fast privacy-preserving computations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.869899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e36d2e5-c82d-47b7-921f-dde3cef3771a · outbound

This paper cites Motion–a framework for mixed-protocol multi-party computation.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Motion–a framework for mixed-protocol multi-party computation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.858439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 780ef8e3-f1c7-4d52-b3db-a4091f0c79d5 · outbound

This paper cites Cryptg pu: Fast privacy- preserving machine learning on the gpu.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Cryptg pu: Fast privacy- preserving machine learning on the gpu

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.846161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 246f0c08-2c2c-4c50-ad9e-b966835da1ef · outbound

This paper cites Simple, secure, internet delivery of moose-based applications.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Simple, secure, internet delivery of moose-based applications

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.832311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f21265b-f452-4121-b436-bbe24da63096 · outbound

This paper cites High-throughput secure three-party computation for malicious adversaries and an honest major- ity.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation High-throughput secure three-party computation for malicious adversaries and an honest major- ity

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.819849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74cf8bf9-bfd7-4a01-bf6d-345b09c4aed0 · outbound

This paper cites Eﬃcient an d secure multi- party computation from ﬁxed-key block ciphers.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Eﬃcient an d secure multi- party computation from ﬁxed-key block ciphers

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.807552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9753b8d2-145f-4282-b49f-c9cd0ef4fcc2 · outbound

This paper cites Sadegh Riazi, and Farinaz Kous hanfar.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Sadegh Riazi, and Farinaz Kous hanfar

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.794231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06fc212b-33cf-4524-826f-42abfa795843 · outbound

This paper cites Improved ga rbled circuit: Free xor gates and applications.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Improved ga rbled circuit: Free xor gates and applications

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.773943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ad48651f-f8c2-4c88-8b0d-645e3a8258c1 · outbound

This paper cites libOTe: an eﬃcient, portable, a nd easy to use Oblivious Transfer Library.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation libOTe: an eﬃcient, portable, a nd easy to use Oblivious Transfer Library

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.760528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ad8dc53-b694-48f6-8887-4693180f2122 · outbound

This paper cites Over drive: Making spdz great again.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Over drive: Making spdz great again

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.747799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 477a0bf5-5aad-4817-8bd7-0799f3c3f69a · outbound

This paper cites Using to pgear in overdrive: a more eﬃcient zkpok for spdz.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Using to pgear in overdrive: a more eﬃcient zkpok for spdz

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.732209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 209e526b-6e7e-48b0-8125-78379591ad4e · outbound

This paper cites Delphi: A cryptographic inference system for neural networks.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Delphi: A cryptographic inference system for neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.717166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d85cff24-b7b9-4229-baee-730bb4d59c96 · outbound

This paper cites Privacy-preserving ridge regression on hund reds of millions of records.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Privacy-preserving ridge regression on hund reds of millions of records

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.699166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b342f61-5ca2-4ab4-9a80-3e9c708215f7 · outbound

This paper cites Privacy-preserving di stributed linear regression on high-dimensional data.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Privacy-preserving di stributed linear regression on high-dimensional data

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.684108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c37d728d-2188-4ef5-ae3a-cac3848429c5 · outbound

This paper cites Privacy-preserving ridge regression with only linearly-h omomorphic encryp- tion.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Privacy-preserving ridge regression with only linearly-h omomorphic encryp- tion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.666162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d0449b53-e3bf-4d33-8b53-1c32c2247380 · outbound

This paper cites Secure data exchange: A marketplace in the cloud.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Secure data exchange: A marketplace in the cloud

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.647138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d8fe54c-89b7-4e4a-a21e-1333b142ced6 · outbound

This paper cites Cryptﬂow2: Prac tical 2-party secure inference.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Cryptﬂow2: Prac tical 2-party secure inference

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.628227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b7c8d49-18a0-4080-a39f-4805ab26ea30 · outbound

This paper cites A pragmatic introduc- tion to secure multi-party computation.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation A pragmatic introduc- tion to secure multi-party computation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.610303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4130c37d-c5e7-4724-b7a9-5675b9fa54ba · outbound

This paper cites Foundations of Cryptography, Volume 2.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Foundations of Cryptography, Volume 2

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.593477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a96b62f0-2ea3-4bd0-86c9-530af5b56a2d · outbound

This paper cites How to simulate it–a tutorial on the sim ulation proof technique.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation How to simulate it–a tutorial on the sim ulation proof technique

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.576791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cddf9bcc-27e3-411d-88dd-cab4d7e06d70 · outbound

This paper cites Privac y-preserving mul- tivariate statistical analysis: Linear regression and cla ssiﬁcation.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Privac y-preserving mul- tivariate statistical analysis: Linear regression and cla ssiﬁcation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.562665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 54d508d7-7ba5-49e0-aac3-687b7ed48d07 · outbound

This paper cites an unresolved cited work.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:52:00.549679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68cb539d-a15e-4cab-9ccd-190e509e6859 · outbound

This paper cites an unresolved cited work.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:52:00.531145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 854e9c68-1ffd-44ba-8103-d392e6959f89 · outbound

This paper cites An introduction to numerical analysis for electri- cal and computer engineers.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation An introduction to numerical analysis for electri- cal and computer engineers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.517224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cedb3fb1-2f74-44d4-bb7f-d55677e32b34 · outbound

This paper cites Eva-s3pc: Eﬃcient, veriﬁable, accurate secure matrix multiplication proto- col assembly and its application in regression, 2024.

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation Eva-s3pc: Eﬃcient, veriﬁable, accurate secure matrix multiplication proto- col assembly and its application in regression, 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:52:00.502280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.