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Paper Citation Record · LEDGER

Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.00742.

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

pith.paper-citation-record.v1
2405.00742 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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:15:01.416066Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:11:17.280568Z

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 6e57faac-2a1b-4708-a676-a4c683db1933 · inbound

Privacy Preserving Charge Location Prediction for Electric Vehicles cites this paper.

Privacy Preserving Charge Location Prediction for Electric Vehicles Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T22:15:01.416066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:15:01.416066Z digest=sha256:73a82b2eba84e5c2809149fdfc1db8a0d8207c675b160bcfcb1aabef8b0d7153

Observation c4fd4e44-ec06-4978-8fb6-db3b12fd626d · inbound

Federated Learning with Graph-Based Aggregation for Traffic Forecasting cites this paper.

Federated Learning with Graph-Based Aggregation for Traffic Forecasting Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:50:40.015497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:50:40.015497Z digest=sha256:e548362f2cdabe51b161d2c69068adcd373b7f167963d25702b6b7352d1e733d

Observation 872293cc-ff6f-494e-ad57-733762c07c86 · inbound

A Comprehensive Data-centric Overview of Federated Graph Learning cites this paper.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

Reference 147

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:11:17.285692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:11:15.260978Z digest=sha256:83d431a1c21863d0802a1bc4a70d001327c3122b026d7ed75c5afce951d7478c