Pith. sign in

Paper Citation Record · LEDGER

Secure Coded Multi-Party Computation for Massive Matrix Operations

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:1908.04255.

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

pith.paper-citation-record.v1
1908.04255 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:57:09.480108Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T06:07:19.130524Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T06:07:19.356662Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy46
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7279099-7a2a-48d3-920a-259c75801809 · outbound

This paper cites Limited-sharing multi-party computation for massive matrix operations,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Limited-sharing multi-party computation for massive matrix operations,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.339332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.225226Z digest=sha256:e10c047c7960858d49f74365518f57511b2bcbebcb518359792aa1426b626875

Observation beafec2e-1bc8-4a67-9cc2-75aff085d73a · outbound

This paper cites The round complexity of secure protocols,.

Secure Coded Multi-Party Computation for Massive Matrix Operations The round complexity of secure protocols,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.322617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.231127Z digest=sha256:66e3e37d2b92c428f50bb4f8b29cf1b6df2293d753f0540b7d4e44a6dcb0f7db

Observation f691a631-0ca2-49ce-a2a1-47a5f3c276a5 · outbound

This paper cites Simplified vss and fast-track multiparty computations with applications to threshold cryptography,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Simplified vss and fast-track multiparty computations with applications to threshold cryptography,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.303583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.236836Z digest=sha256:26f8ffda850f29cab5cad5fd8a3819a3b23edc920f115d62c4bc8103b5ef187d

Observation 4a4ff7a0-a432-412d-8a52-74732c15b18a · outbound

This paper cites Completeness theorems for non-cryptographic fault-tolerant distributed computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Completeness theorems for non-cryptographic fault-tolerant distributed computation,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.287226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.242204Z digest=sha256:a4e58d9e228bda7adb23498c30210632894937b4bd86b4aaf55bae8abd86baeb

Observation 144b6573-5a07-468d-9a1f-54429f3def02 · outbound

This paper cites Multiparty unconditionally secure protocols,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Multiparty unconditionally secure protocols,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.270540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.247616Z digest=sha256:88b8a1ccd74b0581e59a25cf7a6f9d5323d2000a2bf0f49a80dcc87e871558f2

Observation 0c24bf68-194c-4bf8-9d53-a9807c8f8d6f · outbound

This paper cites Efficient multiparty protocols using circuit randomization,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Efficient multiparty protocols using circuit randomization,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.254441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.252763Z digest=sha256:8e0e7de8e175b114a06381ab3a8d61291279d48d14e0c400adaf8eba55f2b567

Observation 801de360-2d5c-4670-b235-264c025359ac · outbound

This paper cites A pragmatic introduction to secure multi-party computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations A pragmatic introduction to secure multi-party computation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.238914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.258456Z digest=sha256:429866fa12cd9d0860709d31f6bf322be39d25fa5cd7f91b930188f9d8aaf617

Observation 4fb80d3b-a905-4486-a2b5-05e42e5607e5 · outbound

This paper cites How to share a secret,.

Secure Coded Multi-Party Computation for Massive Matrix Operations How to share a secret,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T13:57:09.263415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:57:09.263415Z digest=sha256:1ebad1c95159c7d6307f1ee220d00a07aca94f45b7123313c524e9cf50cf8243

Observation 3c4533fe-2986-4e4b-b1c5-f91f0f0e7a2f · outbound

This paper cites Recent results in scalable multi-party computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Recent results in scalable multi-party computation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.211487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.268821Z digest=sha256:dbacef34bdbef6d7ca0b951a35903e113135569fb0010e5dd0ddcc6e8ca4eb3a

Observation 41e43d2d-3afe-4f77-90a4-97acb03a6679 · outbound

This paper cites The tail at scale,.

Secure Coded Multi-Party Computation for Massive Matrix Operations The tail at scale,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T13:57:09.273926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:57:09.273926Z digest=sha256:28f5dc2cf94213b818d5aa87fb7e2505735a992d102a3380bad2a2f08c9b6d72

Observation 893b53b4-6f26-48aa-b145-b7c731b8d41f · outbound

This paper cites Speeding up distributed machine learning using codes,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Speeding up distributed machine learning using codes,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.184866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.278866Z digest=sha256:3e8a2b0016c57c1ad0ad01bc35a832cf26f306b1a7dd2a3bf466a45b3c9b19c9

Observation 43a6a59e-ac04-47bb-af93-967ff0bcc527 · outbound

This paper cites High-dimensional coded matrix multiplication,.

Secure Coded Multi-Party Computation for Massive Matrix Operations High-dimensional coded matrix multiplication,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.169671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.283634Z digest=sha256:cfadea4738938d59d2295ddb1fa24a47d49a20e52e8771e7eb7b5b65aa77fb90

Observation 6dd46017-02ea-4eec-8ca6-7ee2b25b9081 · outbound

This paper cites Polynomial codes: an optimal design for high-dimensional coded matrix multiplication,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Polynomial codes: an optimal design for high-dimensional coded matrix multiplication,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.153981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.288381Z digest=sha256:17b7c2a032692cb519ce3426c16e7dfd30c54a02af475dbda2a421608eed8610

Observation f0a3e7fb-29c1-4d1e-bbd7-b3be5d8e433b · outbound

This paper cites Straggler mitigation in distributed matrix multiplication: Fundamental limits and optimal coding,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Straggler mitigation in distributed matrix multiplication: Fundamental limits and optimal coding,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.139017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.293240Z digest=sha256:5ad8d38e5d8686d4df7cca51ec5597e4533747fb6c5500269e09aa29a8ce5283

Observation 4099880d-bb85-41d2-a249-bb78d7f08b33 · outbound

This paper cites On the optimal recovery threshold of coded matrix multiplication,.

Secure Coded Multi-Party Computation for Massive Matrix Operations On the optimal recovery threshold of coded matrix multiplication,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.123202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.298169Z digest=sha256:6039ebd3df158b4881ffcdfcd561adb8a64a84f0cdd20585628d239eb6547847

Observation 571a74a2-a515-4cbe-aa24-37d5250c7302 · outbound

This paper cites Short-dot: Computing large linear transforms distributedly using coded short dot products,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Short-dot: Computing large linear transforms distributedly using coded short dot products,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.107619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.302899Z digest=sha256:3b64189d3bb1628f63bcde6c77d7f38d5ddba707fda8d953e1c98fffb0e49592

Observation 8c6a96dc-27b3-40b3-a01b-544fd3d2c1b5 · outbound

This paper cites Oversketch: Approximate matrix multiplication for the cloud,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Oversketch: Approximate matrix multiplication for the cloud,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.092630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.307517Z digest=sha256:83a12ea66ebf46b45176415ff0f43ad66077b39214b7c79adf8110f3ac1daeba

Observation 2776defd-5985-4847-be89-3fdfcc93fc61 · outbound

This paper cites Coded sparse matrix multiplication,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Coded sparse matrix multiplication,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.077627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.312348Z digest=sha256:64cfe1794cb7d43762f4ab4667f84cb7eb53b7bee910142847417e3fd2c5d22f

Observation e0fb87ef-0f14-4d2e-9a1a-4e107bfe8296 · outbound

This paper cites Lagrange coded computing: Optimal design for resiliency, security, and privacy,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Lagrange coded computing: Optimal design for resiliency, security, and privacy,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.061697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.317377Z digest=sha256:387a40009b93e8fbe2a586b4bdaa2260877b0153d2a6f9437656f045c449c03d

Observation a00c0b45-8ecd-4b05-b5cf-90e25a3ac8c0 · outbound

This paper cites CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplication.

Secure Coded Multi-Party Computation for Massive Matrix Operations CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplication

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:57:09.567275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.322043Z digest=sha256:a92a5217c9351d71f4c341e9150f1b075339ef069c64307b1638741dbf7621ed

Observation 364895cc-fce1-4752-8488-0a364dd08e85 · outbound

This paper cites Accessible privacy-preserving web-based data analysis for assessing and addressing economic inequalities,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Accessible privacy-preserving web-based data analysis for assessing and addressing economic inequalities,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.045894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.327279Z digest=sha256:f666936213ebc8ffe8e178e86ecd2c4b2395fa3b8b77097c88def698864332a9

Observation 88f7549c-2ec6-4fd8-b35a-437d5d31a379 · outbound

This paper cites Bishop, Pattern Recognition and Machine Learning.

Secure Coded Multi-Party Computation for Massive Matrix Operations Bishop, Pattern Recognition and Machine Learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.029418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.331626Z digest=sha256:e46bf42b71c986d236ef06668a695028d9520a888bf59f6ccd7361e2f0575a02

Observation 55bbc5b9-d026-4502-8122-f4be07814338 · outbound

This paper cites Entangled polynomial coding in limited-sharing multi-party computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Entangled polynomial coding in limited-sharing multi-party computation,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:10.014263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.336084Z digest=sha256:8d2f3e44f7181fc2b8f11774c2fc999aa1e8737bf64469fded4967b60aa7be36

Observation 67e3c3b4-9b94-4146-a593-ab5d71f5d9e9 · outbound

This paper cites Coding for private and secure multiparty computing,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Coding for private and secure multiparty computing,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.996985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.341016Z digest=sha256:4fc9ae04275255c4c0757ed0b74f93496b12bbf364d06c9d15ff50ac16b079b4

Observation 90369a07-86a0-45c1-88a6-45d4257cd743 · outbound

This paper cites CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning.

Secure Coded Multi-Party Computation for Massive Matrix Operations CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:57:09.544919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.346085Z digest=sha256:9d357c2525d780bf511965152aa7342c232fbcd552c147c88ab9fd439b0644db

Observation cc64d4eb-d5a2-4ab8-90be-f47c194697d8 · outbound

This paper cites On the capacity of secure distributed matrix multiplication,.

Secure Coded Multi-Party Computation for Massive Matrix Operations On the capacity of secure distributed matrix multiplication,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.980930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.350804Z digest=sha256:f5a83ff3f9fc4fcef7275de64a42ac2ed49905221bdc6b437ebfa4ec746c32bc

Observation eb161d70-edbe-4121-a737-f2fd0299e2ab · outbound

This paper cites On the capacity and straggler-robustness of distributed secure matrix multiplication,.

Secure Coded Multi-Party Computation for Massive Matrix Operations On the capacity and straggler-robustness of distributed secure matrix multiplication,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.964370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.355157Z digest=sha256:d24a7292fdf5345393e3038b5eea15c57505dd8c3498ce58e58e71b7eb14beb6

Observation b1b9eac5-e3d4-42c7-9c67-2979242e7bd4 · outbound

This paper cites Gasp codes for secure distributed matrix multiplication,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Gasp codes for secure distributed matrix multiplication,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.947415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.359325Z digest=sha256:607cce298dbe25393f3a6307d401a1f80aab102fc2fc48871f0150d9ba8fce6f

Observation 14acc4e0-b5b4-45b0-8d60-03ee6f0edc9a · outbound

This paper cites On the Capacity of Secure Distributed Batch Matrix Multiplication.

Secure Coded Multi-Party Computation for Massive Matrix Operations On the Capacity of Secure Distributed Batch Matrix Multiplication

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T13:57:09.364103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:57:09.364103Z digest=sha256:1279e2b1af3541f841ac0c43f0ba16dff2070d24844bf2b62c311a47c81d44f2

Observation 309116f0-fbc0-4236-abf5-7410cb78931a · outbound

This paper cites Private secure coded computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Private secure coded computation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.928556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.369666Z digest=sha256:d366a90615ef4ea1f09a431f0c84d72613864d236173bf3b7fcc1066965f16e2

Observation 9a7c7515-bfe7-4e53-bb89-46d8e269f574 · outbound

This paper cites Private and secure distributed matrix multiplication with flexible communication load,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Private and secure distributed matrix multiplication with flexible communication load,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.911651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.374028Z digest=sha256:02d964bb6a19b0485a6a9e28c5bdd8fd0acee92eb38244603b27a4a33d8ad18b

Observation f60f6f55-882a-4366-bd4a-6a7bb1354f76 · outbound

This paper cites Private sequential function computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Private sequential function computation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.894722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.378671Z digest=sha256:94dc2339e9ee70d81f3fdd9a901b3d3f3ea016279b7a18d4277276f6c489402e

Observation fe82b404-b0a0-469c-bad6-7d699a4dd54f · outbound

This paper cites Private function computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Private function computation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.878224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.383265Z digest=sha256:18e2e54f25a751a3dd91f602b30e5a3ec861e42f924c7814fe17edf8b80f3186

Observation 901fb577-ec41-4050-850f-5b6cb2c1b7c9 · outbound

This paper cites Numerical methods: analysis, algebra, ordinary differential equations,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Numerical methods: analysis, algebra, ordinary differential equations,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.862806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.387901Z digest=sha256:27dfb678119784f50e404e25cead5c46d905be642b8c226adebaa7d4ada35b4d

Observation d42663e6-55a3-40c8-b0f8-cff67af2cc9e · outbound

This paper cites Fast polynomial factorization and modular composition,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Fast polynomial factorization and modular composition,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-14T13:57:09.392824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:57:09.392824Z digest=sha256:a18cec7a92c45b888c8d9cea843e5c7e4b82f0071a7f782be69f7f31b01a971d

Observation 40055d9b-059d-4314-be09-ff072302de8a · outbound

This paper cites Horner’s method — Wikipedia, the free encyclopedia,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Horner’s method — Wikipedia, the free encyclopedia,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.836029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.397504Z digest=sha256:cb999465d328333b6592e907dcf2f501d74cc3684cb4acaec40163f0c792b819

Observation 798bce94-4f02-4fed-90dd-e07cd3ba1c56 · outbound

This paper cites Practical covertly secure mpc for dishonest majority–or: breaking the spdz limits,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Practical covertly secure mpc for dishonest majority–or: breaking the spdz limits,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.821598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.402599Z digest=sha256:2f250f03f336cef205e2efb4e726777cbd7589d97fb8ca3b9c0a7ec2e69327bc

Observation 3ee806ba-89bc-4c4b-968f-e4f5c9d0bbbe · outbound

This paper cites A note on the communication complexity of multiparty computation in the correlated randomness model,.

Secure Coded Multi-Party Computation for Massive Matrix Operations A note on the communication complexity of multiparty computation in the correlated randomness model,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.805954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.407553Z digest=sha256:26eaa56a0d541dadafbdf7132729736b1541a60c3bc7884fdf3ceccf8be6ba86

Observation 7bdc4548-bfe2-4e6e-8b71-2e051cc019aa · outbound

This paper cites On the (in) efficiency of non-interactive secure multiparty computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations On the (in) efficiency of non-interactive secure multiparty computation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.790492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.412442Z digest=sha256:8daf00bad12119b834b683bab91414a3b16d9efd35dd2a6bf4fb07aa6f2a6a6c

Observation 7250f00c-90ad-4267-b8cd-d7a5587206b2 · outbound

This paper cites An efficient framework for unconditionally secure multiparty computation,.

Secure Coded Multi-Party Computation for Massive Matrix Operations An efficient framework for unconditionally secure multiparty computation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.774589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.417490Z digest=sha256:85b827cab1573d4fe14abf6ebb2abb7a28eba01bb05ad0f1bcbc145ffd848bc2

Observation cd18061f-07b7-4839-b03b-d209004b57d3 · outbound

This paper cites Secure coded multi-party computation for massive matrices with adversarial nodes,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Secure coded multi-party computation for massive matrices with adversarial nodes,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.759151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.422878Z digest=sha256:776ff27d5b75e2c98659c7e34d3f64575d4142b77fb74dc448a7e66614f54c23

Observation f50accb4-d7a9-4a69-a881-c137cc2a7347 · outbound

This paper cites Generalized vandermonde determinants and applications,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Generalized vandermonde determinants and applications,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.744733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.428000Z digest=sha256:ea945596bd02436a2610ce57d3ee1d13407458d44cef6531d733b28d326e047c

Observation 6b6be6c0-7c10-4eaf-acd8-ba28f4fed939 · outbound

This paper cites On the computation of the determinant of a generalized vandermonde matrix,.

Secure Coded Multi-Party Computation for Massive Matrix Operations On the computation of the determinant of a generalized vandermonde matrix,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.729877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.433498Z digest=sha256:c1a248aab165092b2ee1b454ccd4cf78f097e3673994293575ad23088c9f34f3

Observation 1adfd883-4393-435e-a968-741ad8fd855c · outbound

This paper cites Schur polynomial — Wikipedia, the free encyclopedia,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Schur polynomial — Wikipedia, the free encyclopedia,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.715391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.438832Z digest=sha256:005791ee608e7be84f5d0fd98713825d2dfca350376d1235751a642edfb99037

Observation dc973822-59e5-44c7-b312-6478a47fcb09 · outbound

This paper cites An algebraic approach to network coding,.

Secure Coded Multi-Party Computation for Massive Matrix Operations An algebraic approach to network coding,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.699254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.443603Z digest=sha256:3cb0163c2d547054ead692fe22eedde23b688ee1afdcab94b1859b1d61d8eab6

Observation 3da96833-7689-4b53-9b6f-c5d6e8a2de8a · outbound

This paper cites Fast probabilistic algorithms for verification of polynomial identities,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Fast probabilistic algorithms for verification of polynomial identities,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.683586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.449583Z digest=sha256:564c0e1d45be1d71ea044437c72aba0c19ad967385a331f9aa24aa3159dc129e

Observation 8ecb5fdc-e907-46b7-9e51-9e1340951f84 · outbound

This paper cites Probabilistic algorithms for sparse polynomials,.

Secure Coded Multi-Party Computation for Massive Matrix Operations Probabilistic algorithms for sparse polynomials,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.667384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.454394Z digest=sha256:1c06126713c54b0fa1df81abb4683a68f672d9a4cd3d0ccaf4a3291a0897c474

Observation 3a8ed648-15f6-4a6c-a4e1-fbcd4fc24422 · outbound

This paper cites Therefore, in this case non of the coefficients of H(x), is equal to zero.

Secure Coded Multi-Party Computation for Massive Matrix Operations Therefore, in this case non of the coefficients of H(x), is equal to zero

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.650259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.459250Z digest=sha256:f437658b97ef018f5253a60facf4fb078e21162aa4fe9f988c7d99027be882be

Observation 201d2389-d447-4147-9e58-9ff875294a58 · outbound

This paper cites In this case we claim that the number of zero coefficients of H(x) is (k−t + 1)(k− 1), thus the number of nonzero coefficients is (2k2 + 2t− 3)− (k−t + 1)(k− 1) =k2 +kt +t− 2.

Secure Coded Multi-Party Computation for Massive Matrix Operations In this case we claim that the number of zero coefficients of H(x) is (k−t + 1)(k− 1), thus the number of nonzero coefficients is (2k2 + 2t− 3)− (k−t + 1)(k− 1) =k2 +kt +t− 2

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.633966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.464248Z digest=sha256:0dc90c4e0b71b968b5959a6c498107d425aae6ce6cd53005ce24260fac88c9d4

Observation af455ef4-0119-4520-9a5d-81b636722ea1 · outbound

This paper cites In order to represent this function, first we multiply the last two matrices ( X[Γ−1], X[Γ]), then we multiply X[Γ−2] to the result of the previous operation and so on.

Secure Coded Multi-Party Computation for Massive Matrix Operations In order to represent this function, first we multiply the last two matrices ( X[Γ−1], X[Γ]), then we multiply X[Γ−2] to the result of the previous operation and so on

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.617199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.470103Z digest=sha256:6abb210d5b44e085e462c30c9749196ef6d6482fde6a514217e2c675b4277d74

Observation 9e06f2a9-60ac-449b-bd03-4ecf21e9a4a2 · outbound

This paper cites In order to represent this function, first we add the last two matrices ( X[Γ−1] + X[Γ]), then we add X[Γ−2] to the result of the previous operation, and so on.

Secure Coded Multi-Party Computation for Massive Matrix Operations In order to represent this function, first we add the last two matrices ( X[Γ−1] + X[Γ]), then we add X[Γ−2] to the result of the previous operation, and so on

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.600037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.475335Z digest=sha256:646ea5e7c4c62aa62d887bb1d8db0c2600359ef9ca0d3141a43d359e5f4da660

Observation c00079ba-3282-46bc-a049-2506a71aab41 · outbound

This paper cites The representation and order of computation are shown for an example in Fig.4.

Secure Coded Multi-Party Computation for Massive Matrix Operations The representation and order of computation are shown for an example in Fig.4

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:57:09.583445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:57:09.480108Z digest=sha256:b197796a60ec5d8a0669a65e0e48d4dd1fed1ac68fd02daf237d9dd0a0d3396b

Pith citing papers

Observation 6a53c7ca-2479-4798-9b77-354f40f94159 · inbound

Private and Secure Distributed Matrix Multiplication with Flexible Communication Load cites this paper.

Private and Secure Distributed Matrix Multiplication with Flexible Communication Load Secure Coded Multi-Party Computation for Massive Matrix Operations

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-14T06:07:19.361071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T06:07:19.130524Z digest=sha256:24661b4913c6a3a95589158ac93536692e94a5e5bf2ef17f0e3ffb12dda8ee46