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Paper Citation Record · LEDGER

Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.12275.

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

pith.paper-citation-record.v1
2202.12275 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:36:43.317346Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:46:04.564717Z

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 162f9c0b-9ae8-411f-b54b-62ac92988aed · inbound

Federated Retrieval Augmented Generation for Multi-Product Question Answering cites this paper.

Federated Retrieval Augmented Generation for Multi-Product Question Answering Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T14:46:04.569255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:46:04.315806Z digest=sha256:fcb35ce59c75eebd050125c0b3085e092b9388ccaf2a0ab7665453eb6237ee1c

Observation 303a804f-8b69-4e47-84d8-96ce9138732e · inbound

Bayesian Federated Learning for Continual Training cites this paper.

Bayesian Federated Learning for Continual Training Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:36:43.317346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:36:43.317346Z digest=sha256:46c2693434152d095557670caf25a0f4162c468dcb04158e7042f30e165d8869