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Paper Citation Record · LEDGER

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.05084.

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

pith.paper-citation-record.v1
2007.05084 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:59.196443Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.362706Z

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 29b94a77-a3f1-4685-940d-73b9786a1298 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Reference 156

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.366352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:9c9427caf5d91f63616da8e8853ebf519bff722bafdab446379bec24223747e7

Observation 9d9f491b-2da7-4b4d-8870-9d9ce40fe085 · inbound

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients cites this paper.

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:46:59.196443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:46:59.196443Z digest=sha256:cf3ffc46b152d305a4afb0f0282f0870d6b13a697483c8ce14cf5472cdbcf337