Paper Citation Record · LEDGER

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.06469.

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

pith.paper-citation-record.v1
2608.06469 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:37:19.081984Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

verified exact6
verified fuzzy11
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c306b0f6-8909-4fc3-9876-045b9b111de8 · outbound

This paper cites an unresolved cited work.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-15T14:37:19.197549Z

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 06684101-8989-4f6b-85bd-09bbcd5fefec · outbound

This paper cites UCI Machine Learning Repository (1996).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning UCI Machine Learning Repository (1996)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:18.975866Z

Source-reported events for the cited work

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Observation e1f5e0a4-8c45-44fb-8318-c4339a0330e4 · outbound

This paper cites Proceedings on Privacy Enhancing Technologies2025(1), 845–865 (2025).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Proceedings on Privacy Enhancing Technologies2025(1), 845–865 (2025)

Reference 3

Resolution: verified exact; doi, observed 2026-08-15T14:37:19.180743Z

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 c035f4bd-582a-45a3-8e29-cd0761e9ee8b · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: Advances in Neural Information Processing Systems (NeurIPS)

Reference 4

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Source-reported events for the cited work

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Observation 6e3e0dbf-3666-4f55-8ed9-1b65fa51f178 · outbound

This paper cites In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.508763Z

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 5ea06201-b6a8-4abe-a764-a0e02769872c · outbound

This paper cites Sensors24(1), 88 (2024).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Sensors24(1), 88 (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.498413Z

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 c50a3d40-6aad-4337-8323-1f3a10dac5ae · outbound

This paper cites In: Proceedings of the 3rd Innovations in Theoretical Computer Science Conference (ITCS).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: Proceedings of the 3rd Innovations in Theoretical Computer Science Conference (ITCS)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.488670Z

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 9e307172-1ec7-422b-9727-20a1229f5882 · outbound

This paper cites Official Journal of the European Union, L series (2024), regulation (EU) 2024/1689.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Official Journal of the European Union, L series (2024), regulation (EU) 2024/1689

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.478617Z

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 543292eb-a9a7-43e2-a317-2aa78b9f92f4 · outbound

This paper cites In: Proceedings of the 37th AAAI Conference on Artificial Intelligence.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: Proceedings of the 37th AAAI Conference on Artificial Intelligence

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.468649Z

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 0f610441-7606-4136-b89d-04ef367625f2 · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Differentially Private Federated Learning: A Client Level Perspective

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.006120Z

Source-reported events for the cited work

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Observation 1bdb7a53-f982-4de7-87e4-a9d4d02a3e65 · outbound

This paper cites Journal of Network and Computer Applications116, 1–8 (2018).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Journal of Network and Computer Applications116, 1–8 (2018)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.009997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a479a57-5f66-4466-8fb7-0742cb802d1f · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS).

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.458101Z

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 ae05ea68-1f8e-4bc3-a575-d7f312ef229b · outbound

This paper cites UCI Machine Learning Repository (1994).https://doi.org/10.24432/C5NC77.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning UCI Machine Learning Repository (1994).https://doi.org/10.24432/C5NC77

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.017329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2248ca90-77b2-42a9-9333-19d4ee9d899a · outbound

This paper cites Foundations and Trends in Machine Learning14(1–2), 1–210 (2021).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Foundations and Trends in Machine Learning14(1–2), 1–210 (2021)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.020960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c1a82d-57f7-47ee-8535-6170c94fa8e3 · outbound

This paper cites In: 2025 IEEE 24th International Confer- ence on Trust, Security and Privacy in Computing and Communications (Trust- Com) (2025).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: 2025 IEEE 24th International Confer- ence on Trust, Security and Privacy in Computing and Communications (Trust- Com) (2025)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.024420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 426177a5-75d2-4c3d-b79a-470736c2b395 · outbound

This paper cites FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.028040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42cc1dfb-1a3f-4b41-8ae2-976757533f37 · outbound

This paper cites In: Proceedings of the 20th AISTATS.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: Proceedings of the 20th AISTATS

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.446534Z

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 86cf3f4e-1fcc-4c0d-8fce-c62d5a1dada9 · outbound

This paper cites In: Proceedings of the 33rd IJCAI.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: Proceedings of the 33rd IJCAI

Reference 18

Resolution: verified exact; doi, observed 2026-08-15T14:37:19.150134Z

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 0dd3b09e-8ed1-4628-afbc-12330da7da7f · outbound

This paper cites GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.038996Z

Source-reported events for the cited work

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Observation 7ecc0ec7-e9aa-49a3-9d7b-4a1d2be26171 · outbound

This paper cites ACM Computing Surveys54(6), 1–35 (2021).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning ACM Computing Surveys54(6), 1–35 (2021)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.042847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77ff8ce-86bf-476c-9bd4-a91f19879ad2 · outbound

This paper cites In: 2019 IEEE Symposium on Security and Privacy (SP).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: 2019 IEEE Symposium on Security and Privacy (SP)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.435533Z

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 9eca3b9e-1a74-4f95-b332-ab43f6039e83 · outbound

This paper cites Advanced Intelligent Systems7(6), 2400836 (2025).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Advanced Intelligent Systems7(6), 2400836 (2025)

Reference 22

Resolution: verified exact; doi, observed 2026-08-15T14:37:19.132671Z

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 af4281c1-c8ec-40d6-840e-92cac79f5bf8 · outbound

This paper cites PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.053492Z

Source-reported events for the cited work

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Observation 29fb65ff-483e-47ab-8217-6111c03f7e15 · outbound

This paper cites Discover Internet of Things6(1), 36 (2026).https://doi.org/10.1007/s43926-026-00308-8.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Discover Internet of Things6(1), 36 (2026).https://doi.org/10.1007/s43926-026-00308-8

Reference 24

Resolution: verified exact; doi, observed 2026-08-15T14:37:19.121417Z

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 f69da090-8a45-4ac0-831d-cc030239bebc · outbound

This paper cites In: 2017 IEEE Symposium on Security and Privacy (SP).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: 2017 IEEE Symposium on Security and Privacy (SP)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.423862Z

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 42a318bf-91fa-4739-8571-b0588300cd50 · outbound

This paper cites In: Proceedings of the 36th AAAI Conference on Artificial Intelligence.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning In: Proceedings of the 36th AAAI Conference on Artificial Intelligence

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:19.410881Z

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 8eee91a0-01b1-40fc-845c-626367cbc594 · outbound

This paper cites Electronics15(2), 267 (2026).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Electronics15(2), 267 (2026)

Reference 27

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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 53943d1d-19e7-486f-8046-4539ada9e3f2 · outbound

This paper cites Split learning for health: Distributed deep learning without sharing raw patient data.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Split learning for health: Distributed deep learning without sharing raw patient data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.071238Z

Source-reported events for the cited work

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Observation 76845401-3962-4c05-9e00-80fa6d5f8a2e · outbound

This paper cites Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering.

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering

Reference 29

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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 5722d438-accd-489d-beb5-5723d239fe7b · outbound

This paper cites UCI Machine Learning Repository (2009).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning UCI Machine Learning Repository (2009)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:19.078418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdfc1331-5ee0-4abf-984a-8df4fc51e8d9 · outbound

This paper cites Expert Systems with Applications269, 126418 (2025).

Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning Expert Systems with Applications269, 126418 (2025)

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:37:19.260485Z

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

No inbound Pith citation observations are available.