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Paper Citation Record · LEDGER

Prototype Guided Federated Learning of Visual Feature Representations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.08982.

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

pith.paper-citation-record.v1
2105.08982 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:39:35.555053Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T19:37:34.189465Z

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 798e60d0-5852-4e63-ada3-05a3e7f46132 · inbound

FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services cites this paper.

FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services Prototype Guided Federated Learning of Visual Feature Representations

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:37:34.199807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T19:37:33.661458Z digest=sha256:43aa3568d5b853fbbdfec4770b26f19569b767365372ed6c5ec0dde38460d743

Observation 758a33a0-6bcf-4d1e-b5b7-3963335eb95d · inbound

FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization cites this paper.

FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization Prototype Guided Federated Learning of Visual Feature Representations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T21:39:35.555053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:39:35.555053Z digest=sha256:2a2e0d538bca1ce5baa04484cc0de04a053768d6d056ffc37edfb17825aeed2c