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Paper Citation Record · LEDGER

CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.11269.

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

pith.paper-citation-record.v1
1903.11269 v3

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:24:34.030251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:51:17.683658Z

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 c3cafb94-4cfb-41bf-975a-708b45e18757 · inbound

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines cites this paper.

Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:34.030251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:34.030251Z digest=sha256:271856ecafb3145ae16c548196fec2794e8c843b31eae5c10fca8450a0ca1a95

Observation 84be1ebb-8a40-45a3-8992-24179661c608 · inbound

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding cites this paper.

MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:51:17.685896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T02:50:10.046572Z digest=sha256:7f606a5103c010c774f727a809834e87a7ae176d226283328ea846c4bf06a5bc