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Paper Citation Record · LEDGER

Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.16353.

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

pith.paper-citation-record.v1
2501.16353 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:06:04.237137Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:24:32.326807Z

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 fa0e217f-1966-43cf-9831-3804b90ec328 · inbound

MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset cites this paper.

MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T13:06:04.237137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:06:04.237137Z digest=sha256:2f698849df77ae242e13b39d1490661bd4020855994ea6da129bf0ebace6631b

Observation 90adeb29-a646-4962-9d0e-fbc9c0b89e0a · inbound

Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions cites this paper.

Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:24:32.328253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T09:21:14.912660Z digest=sha256:3f2b654f5e1a4d8e20726062391709161e20607a0acba651c75d2747e78b0b64