Paper Citation Record · LEDGER

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2507.05649.

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

pith.paper-citation-record.v1
2507.05649 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:28.231159Z

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 2026-08-05T18:12:38.420227Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:12:38.713181Z

Reference resolution

52 of 52 outbound references displayed

verified exact2
verified fuzzy35
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 416102d0-2a04-4f6a-9efa-3d500c758236 · outbound

This paper cites A survey on homomorphic encryption schemes: Theory and implementation.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A survey on homomorphic encryption schemes: Theory and implementation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.096555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218e4465-499d-4ac5-b0f3-468a5b34896f · outbound

This paper cites HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.099630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99da86e9-9a7f-43b8-a059-368c6a1dc5f9 · outbound

This paper cites Openfhe: Open-source fully homomorphic encryption library.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Openfhe: Open-source fully homomorphic encryption library

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.739776Z

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.

Observation 8a0e7e04-38e8-418b-aa68-d857bfb5fd08 · outbound

This paper cites Homomorphic encryption standard.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Homomorphic encryption standard

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.731744Z

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.

Observation c9902de0-4b13-4569-8cd0-fd7ec6f08ad2 · outbound

This paper cites Multiparty computation with low communication, computation and interaction via threshold fhe.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Multiparty computation with low communication, computation and interaction via threshold fhe

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.724091Z

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.

Observation 6e170e1c-b2ef-4077-a787-855180f0118f · outbound

This paper cites (leveled) fully homomorphic encryption without bootstrapping.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning (leveled) fully homomorphic encryption without bootstrapping

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.716470Z

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.

Observation b8b4b61a-8882-4398-a3f3-bd08e5919042 · outbound

This paper cites Privacy-preserving query over encrypted graph-structured data in cloud computing.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Privacy-preserving query over encrypted graph-structured data in cloud computing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.707976Z

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.

Observation e1b917d5-14f6-40aa-bd53-1d190fc19bf0 · outbound

This paper cites Privacy-preserving classification on deep neural network.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Privacy-preserving classification on deep neural network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.699333Z

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.

Observation e308c05a-0d27-4ae3-8eaf-df29d77e64be · outbound

This paper cites Dygnn: Algorithm and architecture support of dynamic pruning for graph neural networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Dygnn: Algorithm and architecture support of dynamic pruning for graph neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.691329Z

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.

Observation c6a56963-89ef-4275-a905-9be7410302d4 · outbound

This paper cites LightGNN: Simple Graph Neural Network for Recommendation.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning LightGNN: Simple Graph Neural Network for Recommendation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:25:28.419034Z

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.

Observation 5c1fc816-46b2-47f6-a1e4-f4ec289b6256 · outbound

This paper cites ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.124679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 086e94ad-c029-4ee5-9fff-0e19cf53442a · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Homomorphic encryption for arithmetic of approximate numbers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.683720Z

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.

Observation e94c299e-cfd3-4a4c-b50c-05cf9ebf3ce8 · outbound

This paper cites Chet: an optimizing compiler for fully-homomorphic neural- network inferencing.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Chet: an optimizing compiler for fully-homomorphic neural- network inferencing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.675945Z

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.

Observation 1563aae0-5091-4343-868a-f9d104ffa11f · outbound

This paper cites Privacy-preserving graph-based machine learning with fully homomorphic encryption for collaborative anti-money laundering.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Privacy-preserving graph-based machine learning with fully homomorphic encryption for collaborative anti-money laundering

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.668075Z

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.

Observation 58343498-3711-4610-8091-aba3de8f6c8f · outbound

This paper cites Graph u-nets.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Graph u-nets

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.134964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6832afc-6eaf-476e-bc3e-c8885aec59bf · outbound

This paper cites Fully homomorphic encryption using ideal lattices.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Fully homomorphic encryption using ideal lattices

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.649311Z

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.

Observation 0fc54f05-46ae-4861-b0a2-a8bb648a629e · outbound

This paper cites Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.139601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 841866e2-a272-4354-8cff-96dc7455573d · outbound

This paper cites Neural message passing for quantum chemistry.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Neural message passing for quantum chemistry

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.636533Z

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.

Observation c1ce543b-d574-4f1c-962d-9759b4afc920 · outbound

This paper cites Algorithms in helib.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Algorithms in helib

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.628454Z

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.

Observation 0bfef88c-ac54-45f0-b6cf-d6f59a7a5148 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Open graph benchmark: Datasets for machine learning on graphs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.147466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bee0430-5378-4483-8120-c0abc151c28c · outbound

This paper cites Privacy-preserving node clas- sification in customer services with federated graph neural networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Privacy-preserving node clas- sification in customer services with federated graph neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.616024Z

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.

Observation 7468c759-5d00-4fcc-91a5-870944f6e8fd · outbound

This paper cites Redundancy-free computation for graph neural networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Redundancy-free computation for graph neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.607919Z

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.

Observation 83e2b494-4af0-4766-ab96-5dcbfba9e39e · outbound

This paper cites A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.154663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b93bc63-45af-4097-b40f-febee40cc25d · outbound

This paper cites {GAZELLE}: A low latency framework for secure neural network inference.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning {GAZELLE}: A low latency framework for secure neural network inference

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.599998Z

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.

Observation 5bd422a2-a6be-47c3-be5c-90a49d74d5ae · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Semi-Supervised Classification with Graph Convolutional Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.160505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b719268-be11-4f20-9b75-8fb840c068cb · outbound

This paper cites Unifews: You Need Fewer Operations for Efficient Graph Neural Networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Unifews: You Need Fewer Operations for Efficient Graph Neural Networks

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:25:28.304137Z

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.

Observation 7ad314ab-3936-4b50-acdd-653e622c5b9b · outbound

This paper cites Comprehensive graph gradual pruning for sparse training in graph neural networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Comprehensive graph gradual pruning for sparse training in graph neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.592692Z

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.

Observation fd5547f1-ca49-4583-a5ee-d0415d000fa8 · outbound

This paper cites SEAL-Python: Microsoft SEAL 4.x for python.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning SEAL-Python: Microsoft SEAL 4.x for python

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.584703Z

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.

Observation 130ec61f-5ce2-4a3b-90ab-0260120a3e0e · outbound

This paper cites Delphi: A cryptographic inference system for neural networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Delphi: A cryptographic inference system for neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.576790Z

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.

Observation 1db873a8-0158-46c6-9770-ef1f5997b6f7 · outbound

This paper cites Aby3: A mixed protocol framework for machine learning.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Aby3: A mixed protocol framework for machine learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.568939Z

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.

Observation 15e03469-32b6-433b-8864-e69862dd0eca · outbound

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

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Secureml: A system for scalable privacy-preserving machine learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.176840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb96d410-b298-4ace-a6ed-d84e5f2b0f1e · outbound

This paper cites Polynomial approximation of inverse sqrt function for fhe.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Polynomial approximation of inverse sqrt function for fhe

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.556272Z

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.

Observation b341bba0-44a9-47b3-a6d4-7f3b0fec0eaf · outbound

This paper cites Lingcn: Structural linearized graph convo- lutional network for homomorphically encrypted inference.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Lingcn: Structural linearized graph convo- lutional network for homomorphically encrypted inference

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.548561Z

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.

Observation 44d0b728-8284-4fd7-94e8-a8d2a61157a3 · outbound

This paper cites Cryptogcn: Fast and scalable homomorphically encrypted graph convolutional network inference.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Cryptogcn: Fast and scalable homomorphically encrypted graph convolutional network inference

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.540729Z

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.

Observation 3aded50a-a957-40a6-8704-a24fdd68a12e · outbound

This paper cites Penguin: Parallel-packed homomorphic encryption for fast graph convolutional network inference.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Penguin: Parallel-packed homomorphic encryption for fast graph convolutional network inference

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.533020Z

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.

Observation d28e8a3c-4728-48b3-8921-4ed5d6fd5123 · outbound

This paper cites Chameleon: A hybrid secure computation framework for machine learning applications.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Chameleon: A hybrid secure computation framework for machine learning applications

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.525314Z

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.

Observation 9a2cc84c-2505-49b6-872d-32036297c54c · outbound

This paper cites A graph-based model to measure struc- tural redundancy for supply chain resilience.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A graph-based model to measure struc- tural redundancy for supply chain resilience

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.517945Z

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.

Observation 33f1ea68-416e-4da9-afda-a22d75ec647d · outbound

This paper cites Secgnn: Privacy-preserving graph neural network training and inference as a cloud service.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Secgnn: Privacy-preserving graph neural network training and inference as a cloud service

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.510061Z

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.

Observation 7da29426-68ae-4450-92f5-f9a3783f36cc · outbound

This paper cites CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.196466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 261b5e61-bb18-4aa9-ab8e-7bfcfe23b2c5 · outbound

This paper cites Piranha: A {GPU} platform for secure computation.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Piranha: A {GPU} platform for secure computation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.502426Z

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.

Observation d7d9bee1-529a-43ec-b508-0c04cb75becb · outbound

This paper cites Graph neural networks in recom- mender systems: a survey.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Graph neural networks in recom- mender systems: a survey

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.494234Z

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.

Observation 7b9751f2-ad76-4e5f-91f3-475a979a16c5 · outbound

This paper cites A comprehensive survey on graph neural networks.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A comprehensive survey on graph neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.485514Z

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.

Observation 97e5926c-08b0-4f6b-bc60-129140c9c04a · outbound

This paper cites Input feature pruning for accelerating gnn inference on heterogeneous platforms.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Input feature pruning for accelerating gnn inference on heterogeneous platforms

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.477499Z

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.

Observation 1a901a3f-003a-41a9-aa55-4bcbea9eb618 · outbound

This paper cites Auto graph encoder-decoder for neural network pruning.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Auto graph encoder-decoder for neural network pruning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.469246Z

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.

Observation 5c97689c-2403-40b9-89eb-48f2dfbd9c8d · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.211581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0859dc08-fd65-4c2d-957e-3fe732fed7a4 · outbound

This paper cites CipherPrune: Efficient and Scalable Private Transformer Inference.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning CipherPrune: Efficient and Scalable Private Transformer Inference

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.214680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59f0d1fe-a765-4301-8095-365543a5ea12 · outbound

This paper cites Heprune: Fast private training of deep neural networks with encrypted data pruning.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Heprune: Fast private training of deep neural networks with encrypted data pruning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.460406Z

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.

Observation 3a8d6c9b-1e1f-4801-b538-3860ba028f31 · outbound

This paper cites A survey on privacy in graph neural networks: Attacks, preservation, and applications.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A survey on privacy in graph neural networks: Attacks, preservation, and applications

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.452300Z

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.

Observation 3b9f6acc-fbcf-4a1d-b625-acbd09fdb5d5 · outbound

This paper cites A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.222498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0899af40-fcb9-46b6-be23-5dcdf70cfccb · outbound

This paper cites A Survey on Model Extraction Attacks and Defenses for Large Language Models.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A Survey on Model Extraction Attacks and Defenses for Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.225085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1da20dc-9eb2-434b-b1e1-8913321199a6 · outbound

This paper cites keep mask.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning keep mask

Reference 51

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:25:28.443937Z

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.

Observation f4a92d52-d29f-4db6-abf5-ba3ce3a9b6e9 · outbound

This paper cites These operations not only increase the direct computational time but also contribute significantly to noise growth in ciphertexts and necessitate a greater multiplicative depth.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning These operations not only increase the direct computational time but also contribute significantly to noise growth in ciphertexts and necessitate a greater multiplicative depth

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:25:28.435959Z

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.

Pith citing papers

Observation 62ea5854-176e-49db-9e43-08fdad0940ca · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning

Reference 263

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:12:38.719457Z

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.