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Paper Citation Record · LEDGER

Federated Class-Incremental Learning with Hierarchical Generative Prototypes

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.02447.

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

pith.paper-citation-record.v1
2406.02447 v4

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:46:50.511227Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:46:52.111801Z

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 dae37907-f7ac-4c00-a053-b663b364ce72 · inbound

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey cites this paper.

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey Federated Class-Incremental Learning with Hierarchical Generative Prototypes

Reference 143

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:46:52.118591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:46:50.511227Z digest=sha256:b786a53001b28c23b465ce32a4392d2ea378ebd96954b492f88ac676d39894f9

Observation 970f71fe-d6e5-4f87-a972-86d6ec78ebeb · inbound

SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental Learning cites this paper.

SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental Learning Federated Class-Incremental Learning with Hierarchical Generative Prototypes

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T09:17:59.439932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:17:59.439932Z digest=sha256:7e8015fed7e714be5c6e9bcfd0532d84310c39de2a76569913d8af89c1ce5dd1