Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2412.06926.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T16:53:25.556222Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T04:39:34.656602Z
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 7adebcde-5119-423a-a6da-c2bca8560b34 · inbound
Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet cites this paper.
Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T04:39:34.657942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.