Paper Citation Record · LEDGER

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning

As of 12 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 3 inbound Pith citation observations for arXiv:2501.04319.

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

pith.paper-citation-record.v1
2501.04319 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:39:25.974166Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T07:51:35.053399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T07:55:30.682281Z

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy22
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6cebdf8-7159-439e-b9a7-cbbc4fa4b89f · outbound

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

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.757287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbcc14b1-8faf-40ea-b21f-0faa3e5fee07 · outbound

This paper cites Poisoning attacks against federated learning in load forecasting of smart energy,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Poisoning attacks against federated learning in load forecasting of smart energy,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.716988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b3c9ab40-24c8-4c93-920f-788206a38784 · outbound

This paper cites A survey on security and privacy of federated learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning A survey on security and privacy of federated learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.687175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fcb7058d-aa23-45e7-8fd8-17588af5c7fd · outbound

This paper cites Threats to federated learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Threats to federated learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.655426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 25be0145-1c73-47f6-8317-49b42fa0c684 · outbound

This paper cites Blockchained on-device federated learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Blockchained on-device federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.633091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7ee0855-b38b-481d-a01a-5d176e9637a0 · outbound

This paper cites Federated learning meets blockchain in edge computing: Opportunities and challenges,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Federated learning meets blockchain in edge computing: Opportunities and challenges,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.797141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02191e2c-07a8-46a0-88bc-a2ce041ea9e6 · outbound

This paper cites Flchain: A blockchain for auditable federated learning with trust and incentive,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Flchain: A blockchain for auditable federated learning with trust and incentive,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.597251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3756fb98-3553-4887-bb22-1309f2f2d7dc · outbound

This paper cites V oyager: Mtd-based aggregation protocol for mitigating poisoning attacks on dfl,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning V oyager: Mtd-based aggregation protocol for mitigating poisoning attacks on dfl,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.576130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8fdbfa91-9010-48ad-9eec-d3c57d49e86d · outbound

This paper cites Differential privacy,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Differential privacy,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.828316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbbc99d4-c68a-409a-ae00-13e47ddc0901 · outbound

This paper cites Public-key cryptosystems based on composite degree residu- osity classes,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Public-key cryptosystems based on composite degree residu- osity classes,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.833766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bb46f6-1bf8-4c7b-9b5f-d732cfd78a97 · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Practical secure aggregation for privacy-preserving machine learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.840108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f7f3fd-ce41-4044-b817-05f0e78f524d · outbound

This paper cites Performance impact of differential privacy on federated learning in vehicular networks,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Performance impact of differential privacy on federated learning in vehicular networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.502410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 732280d9-3ccd-45fa-ad74-1a283b7891fd · outbound

This paper cites Ma- chine learning with adversaries: Byzantine tolerant gradient descent,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Ma- chine learning with adversaries: Byzantine tolerant gradient descent,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.852094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95857ca8-c623-4296-bf37-c8008733b569 · outbound

This paper cites BV- ICVs: A privacy-preserving and verifiable federated learning framework for V2X environments using blockchain and zkSNARKs,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning BV- ICVs: A privacy-preserving and verifiable federated learning framework for V2X environments using blockchain and zkSNARKs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.461849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78576c9e-c47d-408b-a9a2-55ed5f654942 · outbound

This paper cites Enhancing privacy preservation and trustworthiness for decentralized federated learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Enhancing privacy preservation and trustworthiness for decentralized federated learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.863650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5e4bc5-5b97-4499-b050-fd4961199fcd · outbound

This paper cites Nova: Recursive zero-knowledge arguments from folding schemes,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Nova: Recursive zero-knowledge arguments from folding schemes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.423743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5455fc79-a7d4-4b5a-8a4b-91c5b67f3113 · outbound

This paper cites Incrementally verifiable computation or proofs of knowledge imply time/space efficiency,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Incrementally verifiable computation or proofs of knowledge imply time/space efficiency,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.396818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf10a5e7-fc2b-4397-8246-adb7a99951ff · outbound

This paper cites Privacy-preserving blockchain-based federated learning for IoT devices,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Privacy-preserving blockchain-based federated learning for IoT devices,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.371077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e3665c4-d6b1-432c-a50d-a14ff85ce49f · outbound

This paper cites Hybrid blockchain-based resource trading system for federated learning in edge computing,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Hybrid blockchain-based resource trading system for federated learning in edge computing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.347080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b537f73-bef2-4900-a941-4df81278abc8 · outbound

This paper cites The security of machine learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning The security of machine learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.323917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6855d2c0-543c-4576-b39c-fb276811fcc2 · outbound

This paper cites A blockchain based privacy-preserving federated learning scheme for internet of vehicles,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning A blockchain based privacy-preserving federated learning scheme for internet of vehicles,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.300895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf02ad10-c86a-4423-bad9-3751d6d25d1b · outbound

This paper cites Vdfchain: Secure and verifi- able decentralized federated learning via committee-based blockchain,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Vdfchain: Secure and verifi- able decentralized federated learning via committee-based blockchain,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.276279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d6ffa73-3e3e-4f25-954e-9009f48c873e · outbound

This paper cites zkfl: Zero- knowledge proof-based gradient aggregation for federated learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning zkfl: Zero- knowledge proof-based gradient aggregation for federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.252623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ae84f0c-3dcd-49e8-85f2-c5e4b80d9937 · outbound

This paper cites On the size of pairing-based non-interactive arguments,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning On the size of pairing-based non-interactive arguments,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.234502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b717a4e9-56d9-45e0-a384-3546d5b70e0c · outbound

This paper cites A Systematic Survey of Blockchained Federated Learning.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning A Systematic Survey of Blockchained Federated Learning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:39:26.065414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6e3cada-2165-4ed9-bfb3-7054cc277d07 · outbound

This paper cites Adversarial machine learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Adversarial machine learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.213185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a162c356-2519-4c04-b7a1-b40240d1b5da · outbound

This paper cites SCA: Sybil-based collusion attacks of IIoT data poisoning in federated learning,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning SCA: Sybil-based collusion attacks of IIoT data poisoning in federated learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.185998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4f03a5c-9b90-4708-a376-767438b97aca · outbound

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

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Advances and open problems in federated learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.945294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed1bf524-ae84-49ac-9c18-b66e0a04e5de · outbound

This paper cites IPFS - Content Addressed, Versioned, P2P File System.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning IPFS - Content Addressed, Versioned, P2P File System

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.950528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a9303a5-1e76-4cdd-a78d-cd07cb488d8f · outbound

This paper cites Practical byzantine fault tolerance,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Practical byzantine fault tolerance,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.151480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fd45a185-37a4-4dc6-ad8b-80c3f3347375 · outbound

This paper cites Chainlink 2.0: Next steps in the evolution of decentralized oracle networks,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Chainlink 2.0: Next steps in the evolution of decentralized oracle networks,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.961220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56175b79-d116-4031-a9e8-0ae40b0e7bfe · outbound

This paper cites The MNIST database of handwritten digits,.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning The MNIST database of handwritten digits,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.118355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7b346976-df4f-46dc-9617-20b43c83649e · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 60282629.

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning Available: https://api.semanticscholar.org/CorpusID: 60282629

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:26.090357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 59ffd7cc-5db9-4aff-af72-834f4bfa9980 · inbound

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs cites this paper.

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:49:23.038680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4ea37bd2-00c9-4c76-88c2-f1c41e2411d1 · inbound

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs cites this paper.

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:58.011258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e28a405-d51d-4f63-b186-fb908557bcf8 · inbound

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs cites this paper.

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:55:30.684229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.