Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Attack-Resistant Federated Learning with Residual-based Reweighting
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1912.11464.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:51:54.729793Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T14:12:31.667750Z
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 40b3fd0f-33e5-4d43-a92f-235244c3c06d · inbound
Decoding FL Defenses: Systemization, Pitfalls, and Remedies cites this paper.
Decoding FL Defenses: Systemization, Pitfalls, and Remedies Attack-Resistant Federated Learning with Residual-based Reweighting
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T14:12:31.672555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6ae72fc7-2da3-4bf7-81ba-3ed2fc684d08 · inbound
Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs cites this paper.
Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs Attack-Resistant Federated Learning with Residual-based Reweighting
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:51:54.729793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e038d97-4e71-4d89-961f-4084bf7c576f · inbound
Safe-FedLLM: Delving into the Safety of Federated Large Language Models cites this paper.
Safe-FedLLM: Delving into the Safety of Federated Large Language Models Attack-Resistant Federated Learning with Residual-based Reweighting
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:13:25.245695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.