Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.07005.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-14T19:29:22.229589Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T19:32:52.675900Z
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 15bc42ae-5b62-465f-9016-1481545a8216 · inbound
Pretraining Language Models with Subword Regularization: An Empirical Study of BPE Dropout in Low-Resource NLP cites this paper.
Pretraining Language Models with Subword Regularization: An Empirical Study of BPE Dropout in Low-Resource NLP Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:32:52.679220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.