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Paper Citation Record · LEDGER

Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.19935.

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

pith.paper-citation-record.v1
2410.19935 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:06:12.267660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:10:57.050794Z

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 24ea762f-6a48-4155-9391-8c8409352ac6 · inbound

Benchmarking Prosody Encoding in Discrete Speech Tokens cites this paper.

Benchmarking Prosody Encoding in Discrete Speech Tokens Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T20:06:12.267660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:06:12.267660Z digest=sha256:4c29942ee5b1af213f3ee7066f0f4aad812b1d4d0f4a9a0d24418d43fc9a2ca5

Observation 95eed9cf-7066-4c27-9583-d75245f7ca45 · inbound

Lexical Tone is Hard to Quantize: Probing Discrete Speech Units in Mandarin and Yor\`ub\'a cites this paper.

Lexical Tone is Hard to Quantize: Probing Discrete Speech Units in Mandarin and Yor\`ub\'a Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:10:57.054128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:17:13.047832Z digest=sha256:02dc1706867758081c90891ac3b9f3d65a59d871d7618134f283727b97b8b520