Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2011.10464.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:19:39.410483Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T19:33:42.228966Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4bdac17f-56d1-401d-bb6d-3fc886371417 · inbound
Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks cites this paper.
Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:19:39.410483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e717594-794a-4243-b76c-f888902c15c2 · inbound
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning cites this paper.
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:58:27.382317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5332c2e1-d618-47ce-af49-ee1717186685 · inbound
Fairness in Federated Learning: Trends, Challenges, and Opportunities cites this paper.
Fairness in Federated Learning: Trends, Challenges, and Opportunities A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:16:20.341420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7645203-c87f-457d-a771-a9084caf0192 · inbound
Dynamic Free-Rider Detection in Federated Learning via Simulated Attack Patterns cites this paper.
Dynamic Free-Rider Detection in Federated Learning via Simulated Attack Patterns A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:25:51.838861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1b8ec5b0-317f-4733-b455-8ce4463bbe09 · inbound
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems cites this paper.
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:33:42.232557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.