Paper Citation Record · LEDGER

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.11649.

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

pith.paper-citation-record.v1
2507.11649 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:10:02.959836Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

24 of 24 outbound references displayed

verified exact5
verified fuzzy12
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 106a59d9-2eab-4821-8421-866c1120c154 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:00.990228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c0bd83-1a64-4d98-aa13-80f57536a19d · outbound

This paper cites A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:10:04.623893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa9cfc92-66ab-4708-b508-886a0a9debf9 · outbound

This paper cites Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:01.140177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3334c337-9802-448d-8ca0-5a42adb68b8b · outbound

This paper cites Exploiting Unintended Feature Leakage in Collaborative Learning,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Exploiting Unintended Feature Leakage in Collaborative Learning,

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:10:04.433642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 209d7179-f1b0-4ed9-824c-a0abdf59f85e · outbound

This paper cites Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:01.286941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187d6758-65fe-46da-be27-96c1db9ebe41 · outbound

This paper cites Practical Secure Aggregation for Privacy-Preserving Machine Learning,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Practical Secure Aggregation for Privacy-Preserving Machine Learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:01.338029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa21332-5f38-4951-8e27-c6380c17179a · outbound

This paper cites The knowledge complexity of interactive proof-systems,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs The knowledge complexity of interactive proof-systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:06.949030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7860c45a-c849-4c35-84c0-306b7113fab7 · outbound

This paper cites Circom: A circuit description language for building zero-knowledge applications,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Circom: A circuit description language for building zero-knowledge applications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:06.774163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f40563fa-28b8-418f-a94b-5cbbf0ec1683 · outbound

This paper cites On the Size of Pairing-Based Non-interactive Arguments,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs On the Size of Pairing-Based Non-interactive Arguments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:06.548794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38cdc17a-4ea9-495f-822e-c3eb3d0b8ff1 · outbound

This paper cites Gradient-based learning applied to document recognition,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Gradient-based learning applied to document recognition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:06.313275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa13ded1-ad4b-47a7-ace6-cd8a391fdfb4 · outbound

This paper cites The algorithmic foundations of differential privacy,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs The algorithmic foundations of differential privacy,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:06.128838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ce38298-7812-4abb-814c-390e5210d112 · outbound

This paper cites SafetyNets,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs SafetyNets,

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T17:10:04.011250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72dca290-290e-409b-8918-9d058cf3cdfd · outbound

This paper cites {GAZELLE}: A Low Latency Framework for Secure Neural Network Inference,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs {GAZELLE}: A Low Latency Framework for Secure Neural Network Inference,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:05.946005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79734364-1bea-4e50-8415-6562f1fefc1f · outbound

This paper cites VerifyNet: Secure and Verifiable Federated Learning,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs VerifyNet: Secure and Verifiable Federated Learning,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:10:03.813223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf48378a-f8c5-4da0-80dd-a8a54731ea9c · outbound

This paper cites Auditable and verifiable federated learning based on blockchain-enabled decentralization,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Auditable and verifiable federated learning based on blockchain-enabled decentralization,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:10:03.604816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation acbe7844-47e2-4ad6-895f-01f2b82a69c5 · outbound

This paper cites Securing Blockchain- based IoT Systems with Physical Unclonable Functions and Zero- Knowledge Proofs,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Securing Blockchain- based IoT Systems with Physical Unclonable Functions and Zero- Knowledge Proofs,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:10:03.377372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc3153b3-633e-4d7a-85c3-11e2245470f5 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Communication-efficient learning of deep networks from decentralized data,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:02.333281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f38e7a6-0e1c-4d26-a8cc-e7b5870bac91 · outbound

This paper cites iden3/snarkjs,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs iden3/snarkjs,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:05.733930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 934dd2dc-16ac-4094-8a13-00cff7b5d1a8 · outbound

This paper cites A public domain dataset for human activity recognition using smartphones.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs A public domain dataset for human activity recognition using smartphones

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:05.539183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81343ad9-4b97-4bcb-a7de-eb8e910e4665 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:02.595635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e772e3a-3861-437f-8ca2-dec4945efbb4 · outbound

This paper cites Advances and open problems in federated learning,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Advances and open problems in federated learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:05.323902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32aadf3a-c875-4c58-93fb-3651859f0967 · outbound

This paper cites Deep leakage from gradients,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Deep leakage from gradients,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:05.171641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38b7b136-7cb2-4c57-b0f7-1c4fe9a4f990 · outbound

This paper cites Poseidon: A new hash function for {Zero-Knowledge} proof systems,.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Poseidon: A new hash function for {Zero-Knowledge} proof systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:04.847414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d44789c-8894-467a-9178-85a6ae839c34 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2019/ hash/60a6c4002cc7b29142def8871531281a-Abstract.html.

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs Available: https://proceedings.neurips.cc/paper/2019/ hash/60a6c4002cc7b29142def8871531281a-Abstract.html

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:10:05.007525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.