Paper Citation Record · LEDGER

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.00518.

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

pith.paper-citation-record.v1
2506.00518 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:08:17.621396Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy29
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 376b7e2f-97e8-43d9-acee-b2579f0a3eda · outbound

This paper cites Protocols for secure computations (extended abstract),.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Protocols for secure computations (extended abstract),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:22.918233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4ba81a9-38dd-45d0-b664-e9335a5abf65 · outbound

This paper cites How to play any mental game or A completeness theorem for protocols with honest majority,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference How to play any mental game or A completeness theorem for protocols with honest majority,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:22.666062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6da39cb-116f-46e5-8548-560a0f76fcac · outbound

This paper cites Completeness theorems for non-cryptographic fault-tolerant distributed computation (extended abstract),.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Completeness theorems for non-cryptographic fault-tolerant distributed computation (extended abstract),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:22.476008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6bae5dfc-47a3-4845-85d7-277481839e18 · outbound

This paper cites Multiparty unconditionally secure protocols (abstract),.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Multiparty unconditionally secure protocols (abstract),

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:22.272474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 561ecbf0-4ff5-45d7-b5bf-cdb44e8bf985 · outbound

This paper cites Multiparty computation from somewhat homomorphic encryption,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Multiparty computation from somewhat homomorphic encryption,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:22.052910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a938171e-3f21-44fd-b5ad-caf780a5dbde · outbound

This paper cites Catching MPC cheaters: Identification and openability,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Catching MPC cheaters: Identification and openability,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:21.795094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef81deb5-f411-4847-a4b4-f421a8aab7a1 · outbound

This paper cites Publicly account- able robust multi-party computation,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Publicly account- able robust multi-party computation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:21.552287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0feb0331-a800-43b8-87b7-e73ba5428b21 · outbound

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

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Secureml: A system for scalable privacy- preserving machine learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:21.251007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82adf0dc-a3d6-42fb-984e-3af44a30963b · outbound

This paper cites MP-SPDZ: A versatile framework for multi-party compu- tation,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference MP-SPDZ: A versatile framework for multi-party compu- tation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:21.075810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a705fb71-889c-4489-ab40-a491dc71cb5e · outbound

This paper cites Homomorphic evaluation of the AES circuit,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Homomorphic evaluation of the AES circuit,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.875458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 951d55cf-bf13-4dfc-bfa2-ceca04a51948 · outbound

This paper cites Overdrive: Making SPDZ great again,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Overdrive: Making SPDZ great again,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.678434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 70fddc99-aa0f-4bc9-a814-714521af33c9 · outbound

This paper cites MASCOT: faster malicious arith- metic secure computation with oblivious transfer,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference MASCOT: faster malicious arith- metic secure computation with oblivious transfer,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.468848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aa73c9e2-416e-4851-9fb8-36442e32c336 · outbound

This paper cites Multiparty computation with covert security and public verifiability,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Multiparty computation with covert security and public verifiability,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.296917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1141f878-0555-409b-8731-cf732a5da7de · outbound

This paper cites How to generate and exchange secrets (extended abstract),.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference How to generate and exchange secrets (extended abstract),

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:20.107054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f77cdfd-09df-444f-9a20-97eab05afd4a · outbound

This paper cites Verifiable secret sharing and multiparty protocols with honest majority,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Verifiable secret sharing and multiparty protocols with honest majority,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.911575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2bd8d68e-535b-4653-a665-8294b4348859 · outbound

This paper cites Efficient multiparty computations secure against an adaptive adversary,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Efficient multiparty computations secure against an adaptive adversary,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.741579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 350dff88-52f2-465c-961c-fbdb6bc3b629 · outbound

This paper cites Katz and Y.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Katz and Y

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.546623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c408cdcd-3da3-4681-8258-1a42957203f2 · outbound

This paper cites Proofs of partial knowl- edge and simplified design of witness hiding protocols,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Proofs of partial knowl- edge and simplified design of witness hiding protocols,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.341164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20c760e2-18bd-46b4-b406-72cd5f07e855 · outbound

This paper cites Fiat-shamir with aborts: Applications to lattice and factoring-based signatures,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Fiat-shamir with aborts: Applications to lattice and factoring-based signatures,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.177687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2afef642-90cd-4747-a2db-a728a3619921 · outbound

This paper cites Lattice signatures without trapdoors,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Lattice signatures without trapdoors,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:19.050044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b746f8fc-df1c-4567-866f-ca0bcc923943 · outbound

This paper cites (leveled) fully ho- momorphic encryption without bootstrapping,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference (leveled) fully ho- momorphic encryption without bootstrapping,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.915966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5000bce0-fca7-4aa7-bd3e-8d0e431584d0 · outbound

This paper cites Universally composable security: A new paradigm for cryptographic protocols,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Universally composable security: A new paradigm for cryptographic protocols,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.792528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c95827fe-8801-4049-96df-2d9db510aba4 · outbound

This paper cites On ideal lattices and learning with errors over rings,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference On ideal lattices and learning with errors over rings,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.681624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e57828d1-15e6-4a8e-9e53-fccd6c51a08d · outbound

This paper cites On the concrete hardness of learning with errors,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference On the concrete hardness of learning with errors,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.541296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6caf0005-401e-4259-9a31-ac12a94b03c7 · outbound

This paper cites Mascot: Faster malicious arithmetic secure computation with oblivious transfer,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Mascot: Faster malicious arithmetic secure computation with oblivious transfer,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.378910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8ce7742-d362-45d2-8bb1-0232e313f093 · outbound

This paper cites Spdz2k: Efficient mpc mod 2k for dishonest majority,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Spdz2k: Efficient mpc mod 2k for dishonest majority,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.217932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1e7fc94-c57e-4344-bfba-d4e2e88a7bda · outbound

This paper cites Overdrive: Making spdz great again,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Overdrive: Making spdz great again,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:18.087008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f5f1eef-2921-40d1-af44-b5b1f64e9877 · outbound

This paper cites Breast Cancer Wisconsin (Diagnostic).

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Breast Cancer Wisconsin (Diagnostic)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:17.957407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4e0c50a-2786-4607-b844-c6d31eca226a · outbound

This paper cites The use of multiple measurements in taxonomic prob- lems,.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference The use of multiple measurements in taxonomic prob- lems,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:08:17.843212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 95ef2f89-24ff-460d-8336-7bcb34aea693 · outbound

This paper cites an unresolved cited work.

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference Unresolved cited work

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:17.505752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.