Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:52:00.400840Z
Paper Citation Record · LEDGER
EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation
As of 17 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.