Paper Citation Record · LEDGER

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2507.12439.

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

pith.paper-citation-record.v1
2507.12439 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:51:29.029611Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:10:01.067670Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:10:04.555129Z

Reference resolution

17 of 17 outbound references displayed

verified exact6
verified fuzzy7
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d0cd073-aa91-40a5-8afc-d3bb5c124696 · outbound

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

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:51:31.379087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17bdb980-1f88-4a44-9e9f-3a100fdf5214 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Federated learning: Challenges, methods, and future directions,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:51:30.271423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a92caa5-bfde-4624-85a0-57a0c920dc80 · outbound

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

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:51:30.061339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3bffa9ec-076b-4de5-b970-2ba01b2ac1de · outbound

This paper cites Analyzing federated learning through an adversarial lens,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Analyzing federated learning through an adversarial lens,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:51:31.174542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa61605d-9aaf-44a0-9131-aee3bdd8d174 · outbound

This paper cites How to backdoor federated learning,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning How to backdoor federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:51:30.994517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6efb28a6-29bf-4099-86f8-cc1dabcc10f0 · outbound

This paper cites Threats to Federated Learning: A Survey.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Threats to Federated Learning: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:28.346257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ef35c8-d2e5-45d7-9cb7-36e7b9490eaa · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:51:30.793161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c703cbde-14ab-4cd8-a62f-f0ad23929f8a · outbound

This paper cites Byzantine-robust distributed learning: Towards optimal statistical rates,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Byzantine-robust distributed learning: Towards optimal statistical rates,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:51:30.539185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c16473e2-1257-40b1-8558-eddd1fb6d31b · outbound

This paper cites Robust aggregation for federated learning,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Robust aggregation for federated learning,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:51:29.954953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b118bf23-2d43-4c01-a596-4b30ff8e0418 · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:28.612719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df3218a-a0e9-46fb-94d9-3bc729a93d47 · outbound

This paper cites Draco: Byzantine-resilient distributed training via redundant gradients,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Draco: Byzantine-resilient distributed training via redundant gradients,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:51:30.371208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16b52789-f65a-4e50-8843-827b24c4df81 · outbound

This paper cites Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory,

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:51:29.772504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30d4584f-e990-4d8d-9ac3-4a9cea25367d · outbound

This paper cites A learning-based incentive mechanism for federated learning,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning A learning-based incentive mechanism for federated learning,

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:51:29.609710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9662843-9aed-44c5-83e7-a60a84b8c76c · outbound

This paper cites Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:28.903710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9d36e13-5740-4739-ab05-e60820dc252d · outbound

This paper cites FedCoin: A Peer-to-Peer Payment System for Federated Learning,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning FedCoin: A Peer-to-Peer Payment System for Federated Learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:28.952402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5023bdc7-cd37-4463-8457-3ca767526004 · outbound

This paper cites VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning,.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:51:29.297729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dd826eba-cfb5-4d5c-aba3-f36f9d35e99d · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2017/ hash/f4b9ec30ad9f68f89b29639786cb62ef-Abstract.html.

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Available: https://proceedings.neurips.cc/paper/2017/ hash/f4b9ec30ad9f68f89b29639786cb62ef-Abstract.html

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:51:30.630360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

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

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs cites this paper.

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 2026-08-14T06:32:32.682623+00:00.