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Paper Citation Record · LEDGER

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation

As of 13 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2411.14557.

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

pith.paper-citation-record.v1
2411.14557 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:15:44.365553Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

60 of 60 outbound references displayed

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  • verified fuzzy57
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9511fa1f-aeda-46c9-9d14-43255fd9d92c · outbound

This paper cites The continuation power flow: A tool for steady state voltage stability analysis,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation The continuation power flow: A tool for steady state voltage stability analysis,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b104506e-d403-48e6-b545-522193c1467a · outbound

This paper cites Smart meter data privacy: A survey,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Smart meter data privacy: A survey,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 065ae08e-d36a-4404-bc37-5d416d6d8bc9 · outbound

This paper cites Private Memoirs of a Smart Meter,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Private Memoirs of a Smart Meter,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.125954Z digest=sha256:c22e7c8be30d28f5b3e9d3f5a358384e69374c50f1f92a3ef785062aa81a4bf8

Observation 150eaf25-2edf-4b0a-af3f-3d943499e01e · outbound

This paper cites Multimedia content identification through smart meter power usage profiles,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Multimedia content identification through smart meter power usage profiles,

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.129748Z digest=sha256:8af491bedfde94eef942f9f2e41ba6e902dd0a6483c854106b9cb3cc48e14643

Observation 31ea36ed-9480-490a-8de1-f115220a7947 · outbound

This paper cites Dynamic energy-consumption indi- cators for domestic appliances: environment, behaviour and design,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Dynamic energy-consumption indi- cators for domestic appliances: environment, behaviour and design,

Reference 5

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raw_fallback, observed 2026-08-12T15:15:45.143794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.134147Z digest=sha256:11d38b3aaecd81a907a70b1dac5f55ad99f89f54fa310d58297e2d978ae31dd3

Observation 991f5ce3-79f6-430c-bce3-361882eed41f · outbound

This paper cites Security and privacy challenges in the smart grid,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Security and privacy challenges in the smart grid,

Reference 6

Resolution
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raw_fallback, observed 2026-08-12T15:15:45.130657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.138259Z digest=sha256:b6ac7416c112c1c81cc38d2ddbeb7355e0ea299bdaa630dae1f633ceafb82a16

Observation 4d2e46ab-9a8d-4f49-95d2-b4ab072dc682 · outbound

This paper cites SOK: Privacy tech- nologies for smart grids – A survey of options,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation SOK: Privacy tech- nologies for smart grids – A survey of options,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:45.117056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.143094Z digest=sha256:2a501cf7ec4a2fb8ca45e8bd121170363e21cb1fa5ad98c18f1064535e10cc12

Observation fcb8349e-af59-4393-af16-526c0ce93116 · outbound

This paper cites Essential regulatory requirements and recommendations for data handling, data safety, and consumer protection,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Essential regulatory requirements and recommendations for data handling, data safety, and consumer protection,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:45.103621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.147397Z digest=sha256:e0e0bad05ff0bc5b03e4c7ac691a2e63cba94a109f6bf19332c0c0ac69899d83

Observation 13d7d1c8-d214-4782-98bf-1a3fef5233db · outbound

This paper cites Nistir 7628 rev. 1: Guidelines for smart grid cybersecurity,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Nistir 7628 rev. 1: Guidelines for smart grid cybersecurity,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:45.088821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.151513Z digest=sha256:23ff036e873e97b25decc7acaedd5b7b68e7d2af6712d15e78c3be1a18e51adf

Observation 49015e36-a5ac-4d76-92b4-1d246545a1a3 · outbound

This paper cites Zhu, Optimization of Power System Operation.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Zhu, Optimization of Power System Operation

Reference 10

Resolution
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raw_fallback, observed 2026-08-12T15:15:45.074649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.155797Z digest=sha256:0dd074f5a6c4be0824fa109bda847d96a537a7717838caab6ec387ff9940010f

Observation b1ba0c7b-0481-4e9a-b43e-653d8f2ee1ec · outbound

This paper cites Opti- mal power flow: An introduction to predictive, distributed and stochastic control challenges,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Opti- mal power flow: An introduction to predictive, distributed and stochastic control challenges,

Reference 11

Resolution
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raw_fallback, observed 2026-08-12T15:15:45.061093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.160035Z digest=sha256:c9cf4fa107e93dde8d16ada691f144dc33ff111b27eb4515e2989b007be401e6

Observation aa5c54ad-64e3-479f-bd8f-afa6ee9e7a95 · outbound

This paper cites Smart Grid Privacy via Anonymiza- tion of Smart Metering Data,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Smart Grid Privacy via Anonymiza- tion of Smart Metering Data,

Reference 12

Resolution
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raw_fallback, observed 2026-08-12T15:15:45.047043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.165132Z digest=sha256:9ebcd72fa395f1572102e0a0414825f11cbea231beee3a3c8e8bcb244525850d

Observation f47561e1-1de0-496c-8fd7-980f77915091 · outbound

This paper cites I Have a DREAM!(DiffeRentially privatE smArt Metering),.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation I Have a DREAM!(DiffeRentially privatE smArt Metering),

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:45.034859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.170299Z digest=sha256:42e793d6b1dc85e8af46a416381bbab8437664de53e915251f55dbc76f8e6cf7

Observation 11e403a7-7b8f-4ca2-8e35-5991986f7638 · outbound

This paper cites Differentially private state estimation in distribution networks with smart meters,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Differentially private state estimation in distribution networks with smart meters,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:45.022571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.174470Z digest=sha256:db67548d65404b8230e3acea9e77691dfa9b808779a60d0288daa6a38eed3c3f

Observation 1be51cc9-1dfb-4c82-a295-e981831b969c · outbound

This paper cites Differential privacy for power grid obfuscation,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Differential privacy for power grid obfuscation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:45.009691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.178722Z digest=sha256:e4097d201f349ff9f82d137a04f45556b7629e52556ca9259e575c065e4a5ff1

Observation a7b8e1b7-2b57-407c-9fa4-f0cb4f558d80 · outbound

This paper cites Preserving privacy of smart meter data in a smart grid environment,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Preserving privacy of smart meter data in a smart grid environment,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.996189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.183149Z digest=sha256:3eeb3962d8128c0b66c3eb8bdb8d556880d8f36f1b2983e90f2f1cbf420d0f4a

Observation 2a8c5f70-4fa5-4603-bf83-aeaab38d0e49 · outbound

This paper cites Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities,

Reference 17

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raw_fallback, observed 2026-08-12T15:15:44.982554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.187932Z digest=sha256:dc4745f174b81f1910c105fc1e1ad112bb2ad08a8c77f26edd5fff1a396c6810

Observation 817d4fd1-b96e-46d1-aa30-c40ba9696e8f · outbound

This paper cites DPWGAN: High-Quality Load Profiles Synthesis with Differential Privacy Guarantees,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation DPWGAN: High-Quality Load Profiles Synthesis with Differential Privacy Guarantees,

Reference 18

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.969078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.192438Z digest=sha256:42e719c795110b653da3d86b4eb473ffdf5cafe74ad477859a1962186d5ad9fa

Observation 73d2847e-1bfa-4a0c-9dd4-b715219499d0 · outbound

This paper cites Privacy-Friendly Energy-Metering via Homomorphic Encryption,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Privacy-Friendly Energy-Metering via Homomorphic Encryption,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.955428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.196747Z digest=sha256:5f58943d9de5389ced961957f398394b9104cb680daca54e4cd2384f293c29bb

Observation f9a89b1b-d5f3-450b-81bb-322af2b69357 · outbound

This paper cites Secure Information Aggregation for Smart Grids using Homomorphic Encryption,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Secure Information Aggregation for Smart Grids using Homomorphic Encryption,

Reference 20

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.941838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.200997Z digest=sha256:3e00674b2b85badeb01f310d56450155c67df263b44479b25dedbb729496a50f

Observation cf220879-28f9-438b-817b-2bc199c3153c · outbound

This paper cites Efficient and Privacy-Preserving Metering Protocols for Smart Grid Systems,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Efficient and Privacy-Preserving Metering Protocols for Smart Grid Systems,

Reference 21

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.928911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.205351Z digest=sha256:3174c98316c0ed83c9629f59311eaac5c0ca52508ad8f978e8e368003e86ac5b

Observation 0b18e5b3-4779-49e4-9eae-d92571837e73 · outbound

This paper cites Privacy-preserving distributed eco- nomic dispatch of microgrids: A dynamic quantization-based consensus scheme with homomorphic encryption,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Privacy-preserving distributed eco- nomic dispatch of microgrids: A dynamic quantization-based consensus scheme with homomorphic encryption,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.915593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.209522Z digest=sha256:98a32f1ac3dd2df1168ed1c7ef19321bc3b3adaef63f378f05177971bc6b27d9

Observation 277359d9-2f19-48dd-8b38-1dbc304e029b · outbound

This paper cites Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption,

Reference 23

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.902993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.213536Z digest=sha256:e2585afd4849b25c41440d61103e41193527ff915b5f1536156e304298dc9e99

Observation d7e49824-713c-4a12-9bac-e5bfb0319e59 · outbound

This paper cites Privacy- friendly forecasting for the smart grid using homomorphic encryption and the group method of data handling,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Privacy- friendly forecasting for the smart grid using homomorphic encryption and the group method of data handling,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.890484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.217790Z digest=sha256:2e891214799ae5c135ec4d98ed580039a0dbb5d284670ed44f3ae72d88f7cb32

Observation 20936f0f-b74f-49d3-a204-57ec471363af · outbound

This paper cites A secure and privacy-preserving protocol for smart metering operational data collection,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation A secure and privacy-preserving protocol for smart metering operational data collection,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.876706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.222016Z digest=sha256:12a640e91846b4f71bfd26c552465f7b76906714ac98a1c21440aa62004ba9a9

Observation 3bdd7d40-e4c5-4b2a-8bc3-cad47e293a42 · outbound

This paper cites Privacy-friendly aggrega- tion for the smart-grid,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Privacy-friendly aggrega- tion for the smart-grid,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.862178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.226432Z digest=sha256:dcd2eb676ef4aa3773a1b6246373c62a2ebae6b126189fd40c8640492fcc46f4

Observation f9ad64d4-74c7-4fd8-b068-d061ac02921d · outbound

This paper cites Smart meter aggregation via secret-sharing,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Smart meter aggregation via secret-sharing,

Reference 27

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.849114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.230176Z digest=sha256:316b268e8fd932b4f1d7e27b679f60cc994ec52aa6c78d1c6fab8f9b9eeb6fb9

Observation c594d1b2-4dd7-4039-ab68-ce64e58c7b0d · outbound

This paper cites Fully privacy-preserving distributed optimization in power systems based on secret sharing,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Fully privacy-preserving distributed optimization in power systems based on secret sharing,

Reference 28

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.835020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.233731Z digest=sha256:87dda3ca1b53eaca2fb9a5f12d6ed3ff41ba3e0a26bf6d7273e419cf4042c099

Observation dd130c52-7009-4688-bf37-0493d1ebb158 · outbound

This paper cites Distributed optimization for integrated energy systems with secure multiparty com- putation,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Distributed optimization for integrated energy systems with secure multiparty com- putation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.821951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.237523Z digest=sha256:e26dc25950eeb8ccc6a0fc289d1a26decef87ff9afa127a48bc1ac87eb55b8a4

Observation 4477692d-9123-40f3-84b4-df44ae17e084 · outbound

This paper cites Bidi- rectional privacy-preserving network-constrained peer-to-peer energy trading based on secure multiparty computation and blockchain,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Bidi- rectional privacy-preserving network-constrained peer-to-peer energy trading based on secure multiparty computation and blockchain,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.809055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.241338Z digest=sha256:3ee8bd9e2c98b897d60d76321f19f0338f727b65aa478fa6367f29aabf87482c

Observation a3b21086-6829-4101-b2b7-4705a3297d13 · outbound

This paper cites An MPC-based privacy-preserving protocol for a local electricity trading market,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation An MPC-based privacy-preserving protocol for a local electricity trading market,

Reference 31

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.795473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.245303Z digest=sha256:ed98f4b06788bca4b6577dd3aaaddf98e96909831d09131edfd7ef2f012bec71

Observation ed40f741-f9dc-4688-a8c4-307f691104b9 · outbound

This paper cites Energy block- based peer-to-peer contract trading with secure multi-party computation 12 in nanogrid,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Energy block- based peer-to-peer contract trading with secure multi-party computation 12 in nanogrid,

Reference 32

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.782210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.248828Z digest=sha256:2f23d0749450695cb15acacd71573800f909f93403830950f044bf70528b19b0

Observation ffb91269-6c95-4bfa-8885-2844f2ba82cb · outbound

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

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Universally composable security: A new paradigm for cryptographic protocols,

Reference 33

Resolution
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raw_fallback, observed 2026-08-12T15:15:44.769715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.252947Z digest=sha256:6d31de5f99a97ff6bd40b167422092b4fea67bd40487dc3503eb465a9f578038

Observation a7db757a-f31c-4485-a7fe-2eed40d53825 · outbound

This paper cites Efficient Multiparty Protocols Using Circuit Randomiza- tion,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Efficient Multiparty Protocols Using Circuit Randomiza- tion,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.757309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.257097Z digest=sha256:94617c7a0af7032f3316a8e4c45f2c053ff407540a15c2ef1814b18f9e3c2244

Observation 4f3b8ae3-8520-4fde-9476-7a18b2f864f3 · outbound

This paper cites Secure computation with fixed-point num- bers,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Secure computation with fixed-point num- bers,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.744358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.261910Z digest=sha256:c2f7e53e3b9bc2ccd7d8f677b238c78e508bbbd9185acbe68187903630f9b69d

Observation 3fcbe0e8-38f9-4f38-835f-cd9a43128a78 · outbound

This paper cites Benchmarking Privacy Preserving Scientific Operations,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Benchmarking Privacy Preserving Scientific Operations,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.729377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.266313Z digest=sha256:be888cbc6e13ccbfc0e61dd034d5c592b9d003b82afeb6d7d9592c08c0c8c37f

Observation 4e7008a9-dd08-484f-8503-5e105961dbe2 · outbound

This paper cites Overdrive: Making SPDZ great again,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Overdrive: Making SPDZ great again,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.713932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.270555Z digest=sha256:af148ff77cd14bf2f9f62df9129ace713d755c30eabf312d2fa32d97ffe45f37

Observation 50ffa461-9a8e-44f1-9bdf-9f1b1275f008 · outbound

This paper cites MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious Transfer,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious Transfer,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.699559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.275552Z digest=sha256:7efaf00ac1d993f2486c167abaccde9ebcaf43ae69b6fb63a87090820abb4297

Observation baac48ac-fad7-4680-a484-5b3152df7693 · outbound

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

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Completeness theorems for non-cryptographic fault-tolerant distributed computation (extended abstract),

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.685617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.279804Z digest=sha256:46a5cd2aa902c4547914f73d326be03b24797a8bda2af744ea14778e2e0e69e4

Observation c707163f-aea6-46af-9dbe-1ae739fc8d30 · outbound

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

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Multiparty unconditionally secure protocols (extended abstract),

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.671827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.284124Z digest=sha256:fb424f150c02491a6bddf784719826654ef2e4b6f9e0ca6ca36887a4e589c394

Observation d7a6ea8a-12f3-4687-b65d-ca9c30b3cdfa · outbound

This paper cites On a comparison of Newton- Raphson solvers for power flow problems,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation On a comparison of Newton- Raphson solvers for power flow problems,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.657351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.288397Z digest=sha256:9aeb4cdc80de589b4a5a01641f9e96c045ca703a3f04ebfded2cb985ebf99405

Observation 4245dd0e-c29c-402c-ba98-5f4a52f2ecce · outbound

This paper cites Newton-raphson Method in Complex Form,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Newton-raphson Method in Complex Form,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.643221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.292499Z digest=sha256:f6cd2c9027851d843164b641e6e95ad747731bef4780c20f7aed846695dd588c

Observation 791658e2-82b8-4d9c-9be0-292d376ae0cb · outbound

This paper cites Nocedal and S.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Nocedal and S

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T15:15:44.296581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:15:44.296581Z digest=sha256:f26883a2be5a10ed75ed043b9ea8e660e9188c20eb19cbbf4ed7a52a66d4b139

Observation ff5b9212-f893-4e24-a003-ee01ef728c4a · outbound

This paper cites an unresolved cited work.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:15:44.620042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.300494Z digest=sha256:4fbabccd879d1b5cd231be118b1075d9dcf247fbbd4362acdbbced254de7fbd0

Observation 5d80de4e-5878-478d-98fd-2187786d5edb · outbound

This paper cites Saad, Iterative Methods for Sparse Linear Systems.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Saad, Iterative Methods for Sparse Linear Systems

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.607325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.304796Z digest=sha256:26d1c889a4e5c3d2f5ad309f6db58b0677778051bdcd5500fad8645ca9641ce3

Observation 2f3c817b-2027-4c04-bf6f-7a34531ed46f · outbound

This paper cites A full proof of the BGW protocol for perfectly secure multiparty computation,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation A full proof of the BGW protocol for perfectly secure multiparty computation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.594250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.308757Z digest=sha256:aa596304fc5ad6e12c2a1d4c2edf4389a1f6cd7ffd01abae57a355f19e105a04

Observation 77e125ff-bfc2-4210-925e-1a37349c460e · outbound

This paper cites ATLAS: efficient and scalable MPC in the honest majority setting,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation ATLAS: efficient and scalable MPC in the honest majority setting,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.581230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.312955Z digest=sha256:fc66678ea01f46a48a29a5b37e6bd1c9a7b99044f7e337f1c68e6ed4a2b065d8

Observation b46804b3-fb9a-46a4-99a2-066f4d37e3bc · outbound

This paper cites Universally composable efficient multiparty computation from threshold homomorphic encryption,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Universally composable efficient multiparty computation from threshold homomorphic encryption,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.568075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.317119Z digest=sha256:738667104ce9d544b69aef265e00873e66a5412fd4cd9e8a7eb37494bceff009

Observation d468ba3b-d1d1-43e0-b4c4-4d9bfde6fab6 · outbound

This paper cites Fast large-scale honest-majority MPC for malicious adversaries,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Fast large-scale honest-majority MPC for malicious adversaries,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.554674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.321449Z digest=sha256:b787eca669e985719758244df0449246f2eb8006e0c268733ecd2a452c9e050d

Observation cd873903-4e5c-4d12-acdf-35a26d9c08e4 · outbound

This paper cites SPD Z2k : Efficient MPC mod 2k for Dishonest Majority,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation SPD Z2k : Efficient MPC mod 2k for Dishonest Majority,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.541635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.325464Z digest=sha256:5d9a3ff4419e647bbf08bfd8b8b680230ec5b66379cfca9ebee1c55c5c8c19d4

Observation 7ffa13d3-f0f2-4d97-9898-f1af86dbd6e7 · outbound

This paper cites Cramer, I.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Cramer, I

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.528278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.329687Z digest=sha256:47f4d0388798c3020aa9b03e883c964e9a8d1412bb7df2accb5f22ffaacc949c

Observation 563e44a0-179c-4433-b2a8-342bdd9fc768 · outbound

This paper cites Simbench – A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Simbench – A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.515292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.333837Z digest=sha256:2978aac2b89c364ed918853005c2cfad8e6e8c801f89f587484f7c09ddfe93bf

Observation 1e16d544-9bea-4e6e-9ee2-746b8cccd18c · outbound

This paper cites MP-SPDZ: A versatile framework for multi-party computa- tion,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation MP-SPDZ: A versatile framework for multi-party computa- tion,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.502993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.338242Z digest=sha256:864f8c0cc36b62edd165c638758ac0a76d51dc65b19f1ca62db88bae9dedd60d

Observation 23ab09e4-2bd2-4281-b31e-d0ca5b29eba9 · outbound

This paper cites Improved primitives for MPC over mixed arithmetic-binary circuits,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Improved primitives for MPC over mixed arithmetic-binary circuits,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.490369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.342316Z digest=sha256:b4ba56340be8cc0e19baaa0e7f7ec3b9fa4cbbd77f3b7cf8ea57df879a76bcd6

Observation a8908860-b013-46df-9519-b49e20bb6195 · outbound

This paper cites An introduction to secret-sharing-based secure mul- tiparty computation,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation An introduction to secret-sharing-based secure mul- tiparty computation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.475317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.346344Z digest=sha256:de45ea8138ddd3711961503f7f78d270fc7600da87ce92722620d41afcf8e975

Observation 21511a1d-7d7e-44f0-853f-7bbdf1b3ad71 · outbound

This paper cites Secure quantized training for deep learning,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Secure quantized training for deep learning,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.459237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.350834Z digest=sha256:800a83d729f0493f699862eb76a254121a8097e39eacdc9c89fab7e90e0ad562

Observation e168a267-1df8-4605-8f00-10d56b1129c2 · outbound

This paper cites Flexibility service market for active congestion management of distribution networks using flexible energy resources of microgrids,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Flexibility service market for active congestion management of distribution networks using flexible energy resources of microgrids,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.444047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.354579Z digest=sha256:fc294ba1506101f9d6c181088837bffa71528085fff18d6a5cc76434b7097f22

Observation 6186cb69-f949-4321-9119-b67d5401fe62 · outbound

This paper cites Distribution-level flexibility market for congestion management,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Distribution-level flexibility market for congestion management,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.430116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.358352Z digest=sha256:007c4388f921497c839adcf0abd8a3dadc631df087f452a9d50b489c364c8666

Observation 30a676c4-d6bc-4869-8167-fed2ed33448c · outbound

This paper cites The holomorphic embedding load flow method,.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation The holomorphic embedding load flow method,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:15:44.416137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.362047Z digest=sha256:bce8bc3c46dc2a278bc585359d5ced1f52b5d445097dab7c93ef9e2f04bb0dc8

Observation 08dc6b22-2089-475d-959b-402faf3582af · outbound

This paper cites an unresolved cited work.

Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:15:44.400872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:15:44.365553Z digest=sha256:2a08e4ba448af675b21933159ec64cf7abda8ef087ca76578c1d8a7e50f21420

Pith citing papers

No inbound Pith citation observations are available.