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Paper Citation Record · LEDGER

Active Membership Inference Attack under Local Differential Privacy in Federated Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.12685.

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

pith.paper-citation-record.v1
2302.12685 v2

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:48:46.958742Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.815813Z

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 8d73e190-9bee-42dd-afa1-907d9a5d0cc2 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models Active Membership Inference Attack under Local Differential Privacy in Federated Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T19:48:46.958742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:46.958742Z digest=sha256:7b2d42fab4695cb27a78f6c1afa11ace9ed0108ba52077b6b0469246d9952d44

Observation ccdb1508-aabb-4911-9633-26359dc7875b · inbound

Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs cites this paper.

Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs Active Membership Inference Attack under Local Differential Privacy in Federated Learning

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:43.817184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T03:59:30.468854Z digest=sha256:89987885a70b5440038a00cf8fb92cf5ca2a0fc6b7447aec739116d3b4a18176