Pith. sign in

Paper Citation Record · LEDGER

Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.13946.

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

pith.paper-citation-record.v1
2404.13946 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:13:03.162308Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:25:43.805287Z

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 53fcf420-db09-4bbb-981d-95425d6e1adb · inbound

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning cites this paper.

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:25:43.807577Z

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.

source=pdf_text observed=2026-05-23T17:23:43.022109Z digest=sha256:c407aa982eb07411b1ddfb211fbd372c0768346d993cd4150f2aee06d4b549f8

Observation 0c6891a6-672b-4fb5-a7b6-6ca8c5ad2b27 · inbound

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation cites this paper.

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T16:13:03.162308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:13:03.162308Z digest=sha256:399eca801b26850027a26c19c951476f7edee015b34ad72244e1f57fc1041ac6