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Paper Citation Record · LEDGER

Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.02453.

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

pith.paper-citation-record.v1
2401.02453 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:57:20.795683Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:54:38.891200Z

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 66645f53-2c70-42a3-9b21-01a0bdb37016 · inbound

A Taxonomy of Attacks and Defenses in Split Learning cites this paper.

A Taxonomy of Attacks and Defenses in Split Learning Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T22:57:20.795683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:57:20.795683Z digest=sha256:4d177adccb19a0614a89ff5ac17cd6d0b0c2423b5420047dae344d3c8747e8e2

Observation bb70a1c9-fe64-4dec-8b15-a041d394d8ea · inbound

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation cites this paper.

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:54:38.894767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T13:54:38.267485Z digest=sha256:b53be53232f4f1fef8b65c008bb6d9237196f141b3bf0558fd3e1c60c1583d4e