Pith. sign in

Paper Citation Record · LEDGER

Data Poisoning Attacks Against Federated Learning Systems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.08432.

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

pith.paper-citation-record.v1
2007.08432 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:57.712751Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:37:31.898373Z

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 a820e140-31ed-415a-bd95-f9abb0ac5a3b · inbound

Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning cites this paper.

Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning Data Poisoning Attacks Against Federated Learning Systems

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:37:31.937855Z

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=arxiv_source observed=2026-08-07T15:37:30.222364Z digest=sha256:847b091941790b32c37f0ab7dc260804bee5c6f504396c0e335c6f970d704fdd

Observation f4581340-0c1b-47ab-a42b-b307deb59ca5 · inbound

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning cites this paper.

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning Data Poisoning Attacks Against Federated Learning Systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T19:31:57.712751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:31:57.712751Z digest=sha256:5d373781be8dea9c1620312e2df1cea3e7676c864e63e30972d6054e33836f78

Observation 0f26761b-6917-4cce-a586-26f48c4123e8 · 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 Data Poisoning Attacks Against Federated Learning Systems

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T16:13:03.206351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:13:03.206351Z digest=sha256:06d6b92e27583d8e8a92c304d2d363c1b4d3dd7ab042cb7055151da6ca24f828