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Paper Citation Record · LEDGER

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.25349.

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

pith.paper-citation-record.v1
2606.25349 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:11:05.091469Z

measured 26 of 26 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

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Reference resolution

26 of 26 outbound references displayed

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Outbound references

Observation bccea7d6-81aa-4840-808a-c868d6bfbf50 · outbound

This paper cites Powerforme r: Efficient and high-accuracy privacy-preserving language model with homomor- phic encryption.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Powerforme r: Efficient and high-accuracy privacy-preserving language model with homomor- phic encryption

Reference 1

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source=pdf_text observed=2026-08-03T02:11:00.934575Z digest=sha256:e0d19ef0bddf07ef5216add22a6acc8d1c4ee1c6573db23ae0cc4a7e76af30f8

Observation 691db865-92e6-48f9-8087-7f74080982c3 · outbound

This paper cites ARION: Attention-optimized transformer inf erence on encrypted data.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference ARION: Attention-optimized transformer inf erence on encrypted data

Reference 2

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source=pdf_text observed=2026-08-03T02:11:01.031157Z digest=sha256:942b00dde8bc519b3b5ebc43c50441034950d13b78a3dfcf5047ff8d16dd25b3

Observation 9dd659fa-ea26-4018-80bf-c28ac2595e6f · outbound

This paper cites Breaking the layer barrier: remodeling pr ivate transformer inference with hybrid CKKS and MPC.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Breaking the layer barrier: remodeling pr ivate transformer inference with hybrid CKKS and MPC

Reference 3

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Observation 07f1d414-0f34-4507-b280-c9ed05807674 · outbound

This paper cites BOLT: Privacy-preserving, accurate and efficie nt inference for transformers.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference BOLT: Privacy-preserving, accurate and efficie nt inference for transformers

Reference 4

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source=pdf_text observed=2026-08-03T02:11:01.524515Z digest=sha256:daf5b1e5d22932ffa4fbdceea389a9044100009c29f7345722c96a0d3e1d76d4

Observation 12ac42cd-a311-415e-9f24-34ca6c579f22 · outbound

This paper cites THOR: Secure transformer inference with homomorphic encryption.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference THOR: Secure transformer inference with homomorphic encryption

Reference 5

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source=pdf_text observed=2026-08-03T02:11:01.706007Z digest=sha256:6de956314381337ed595bcbde6da1a12173bf44e7e84418e2fe2434f7604a9e0

Observation 49ac201c-4e46-4124-a0f2-616c16eb86a4 · outbound

This paper cites Iron: Private inference on transformers.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Iron: Private inference on transformers

Reference 6

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Observation a90cc9b2-ed1f-4807-b63f-0c150b193557 · outbound

This paper cites MOAI: Module-optimizing architecture for non-interactive secu re transformer inference.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference MOAI: Module-optimizing architecture for non-interactive secu re transformer inference

Reference 7

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source=pdf_text observed=2026-08-03T02:11:02.089270Z digest=sha256:8e4780a9fb119d34807a23f372c8a29b8910f1daf40f0245edc2e3a19eb10276

Observation c8581281-bd34-47d1-8b1c-589dbeab6828 · outbound

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

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Secureml: A system for scalable privacy-preserving machine learning

Reference 8

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Observation 3402697a-624a-4978-bbdd-1c3e949330dc · outbound

This paper cites Cryptonets: Applying n eural networks to encrypted data with high throughput and accurac y.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Cryptonets: Applying n eural networks to encrypted data with high throughput and accurac y

Reference 9

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Observation 05b30024-ef25-4a79-9746-14178f853feb · outbound

This paper cites Deep learning with diff erential privacy.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Deep learning with diff erential privacy

Reference 10

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source=pdf_text observed=2026-08-03T02:11:02.642514Z digest=sha256:e046c25eeb8cbb83650aa115d8b17d49d957a9d9a7b87dd93721fbb292131baf

Observation b4e39f01-d671-435c-9430-fe666dfc9152 · outbound

This paper cites Slalom: Fast, verifiable and private execution of neural networks in trusted enclaves.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Slalom: Fast, verifiable and private execution of neural networks in trusted enclaves

Reference 11

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Observation fda8ad59-d977-4db4-bc1c-77c032b87945 · outbound

This paper cites ABY2.0: Improved mixed-protocol secure two-party computa tion.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference ABY2.0: Improved mixed-protocol secure two-party computa tion

Reference 12

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Observation 8a96811d-a7b7-417b-97b5-f2f0e78677c7 · outbound

This paper cites Fully homomorphic encryption using idea l lattices.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Fully homomorphic encryption using idea l lattices

Reference 13

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Observation 76a33be9-0154-42f1-91d8-95d14688ff14 · outbound

This paper cites MPCFORMER: Fast, performant and private transfo rmer inference with MPC.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference MPCFORMER: Fast, performant and private transfo rmer inference with MPC

Reference 14

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Observation 33c3a1a1-8028-42ef-95c1-3eda015aeee2 · outbound

This paper cites MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

Reference 15

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Observation 9843b9b4-4e68-4bc5-9b1d-eb8ac88a0813 · outbound

This paper cites Secure transformer inference made non-interactive.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Secure transformer inference made non-interactive

Reference 16

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Observation 03d3cf5f-20d7-4e47-b81c-71646cb00e8e · outbound

This paper cites Converting transformers to polynom ial form for secure inference over homomorphic encryption.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Converting transformers to polynom ial form for secure inference over homomorphic encryption

Reference 17

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Observation d4cb14f7-6fcd-4a37-b19d-e3bb1e92e2c7 · outbound

This paper cites Power-Softmax: Towards Secure LLM Inference over Encrypted Data.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Power-Softmax: Towards Secure LLM Inference over Encrypted Data

Reference 18

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Observation e19978c1-9347-4e63-bb1d-a4483b86cfe6 · outbound

This paper cites Transformer-bas ed language models and homomorphic encryption: An intersection with BE RT-tiny.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Transformer-bas ed language models and homomorphic encryption: An intersection with BE RT-tiny

Reference 19

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Observation 48bf42b9-3e85-4c71-af06-0fc0fc283f73 · outbound

This paper cites Tricycle: Private transformer inference with tricyclic en codings.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Tricycle: Private transformer inference with tricyclic en codings

Reference 20

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Observation 57702f30-819b-4097-880f-db0264da99e1 · outbound

This paper cites Euston: Efficient and user-friendly secure tr ansformer inference with non-interactivity.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Euston: Efficient and user-friendly secure tr ansformer inference with non-interactivity

Reference 21

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source=pdf_text observed=2026-08-03T02:11:04.501001Z digest=sha256:50defd10a036b005316b371f81604b3b260ff2d53b645036c0c8bc2b6a0f6e8c

Observation 0e5d00fe-52c3-4ce8-821e-1043437ec825 · outbound

This paper cites En cformer: Secure and efficient transformer inference over encrypted d ata, 2026.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference En cformer: Secure and efficient transformer inference over encrypted d ata, 2026

Reference 22

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Observation 6692e5ef-063f-4fc2-8399-6e219689e318 · outbound

This paper cites A ttention is all you need.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference A ttention is all you need

Reference 23

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source=pdf_text observed=2026-08-03T02:11:04.878916Z digest=sha256:e07d8ca8398688c0289cfe892ce413654bcde72430df81c39fbcf6f359571463

Observation 138fb29a-d711-4ebf-91da-73410b7840e0 · outbound

This paper cites Homo- morphic encryption for arithmetic of approximate numbers.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Homo- morphic encryption for arithmetic of approximate numbers

Reference 24

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source=pdf_text observed=2026-08-03T02:11:04.945337Z digest=sha256:06e840ae2e7c435d66cdaa9c270c1de861fcc10142b7315c9da5c07ff9762172

Observation 591ce5c8-e5d9-4aca-afee-4a70eb259df8 · outbound

This paper cites A full RNS variant of approximate homomorphic encr yption.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference A full RNS variant of approximate homomorphic encr yption

Reference 25

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Observation 545ca1b4-abb0-4c29-a3d8-52fdc2532771 · outbound

This paper cites Efficient bootstrapping for approxima te homomor- phic encryption with non-sparse keys.

General Techniques for Reducing Key-Switching Overhead in Privacy-Preserving Two-Party Transformer Inference Efficient bootstrapping for approxima te homomor- phic encryption with non-sparse keys

Reference 26

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Pith citing papers

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