Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.13465.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:01:15.418268Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:01:15.482142Z
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 c6f69bdd-ba26-4744-8eea-6b4adc8f93c1 · inbound
Revealing the Hidden Temporal Structure of HubertSoft Embeddings based on the Russian Phonetic Corpus cites this paper.
Revealing the Hidden Temporal Structure of HubertSoft Embeddings based on the Russian Phonetic Corpus Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:01:15.487506Z
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.
Observation c626d53c-7599-4563-9068-f9e8fcbb9186 · inbound
Phonetic forced alignment for low-resource language varieties: Model training and evaluation on Chengdu Mandarin cites this paper.
Phonetic forced alignment for low-resource language varieties: Model training and evaluation on Chengdu Mandarin Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:49:28.097823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.