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Paper Citation Record · LEDGER

Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.08810.

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

pith.paper-citation-record.v1
2203.08810 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 2026-08-10T21:43:58.798733Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:47:16.650394Z

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 85391ccb-a30d-4f90-8e78-a047799c97c7 · inbound

A Survey on Federated Learning in Human Sensing cites this paper.

A Survey on Federated Learning in Human Sensing Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T21:43:58.798733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:43:58.798733Z digest=sha256:d6b684d6c781743eb8b753e22d094d553a922a841e6c6dff92a22f877a4221d3

Observation f323aba8-629e-4d63-a7be-2c16ef084839 · inbound

Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains cites this paper.

Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:47:16.732980Z

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=2026-08-07T13:47:08.922419Z digest=sha256:54c49ca557393fbc839946c74c44e8dda60f4238c09e6d75ec2d840a4616f936