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Paper Citation Record · LEDGER

Attack-Resistant Federated Learning with Residual-based Reweighting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.11464.

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

pith.paper-citation-record.v1
1912.11464 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:12:23.140936Z

measured 0 of 1 external citation measurements

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T14:12:23.140936Z digest=sha256:744e82662e4147b4f5564ebe86292b957f1a1b2a5ec5162a9cd5ffa6283302ce

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.

source=pdf_text observed=2026-08-03T11:13:25.245695Z digest=sha256:b6c7e0e8529dbf83ad49bf851c70e3885bdbe6af6da30cf32d1628b8aa558d07