Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.08151.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:38:42.794327Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T23:24:46.175353Z
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 821d9241-4e0d-40a1-95e4-3d868be9847b · inbound
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models? cites this paper.
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models? mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:38:42.794327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dd0839c-8a43-4e96-9754-2cbc712e5b2e · inbound
Comparative Performance of Advanced NLP Models and LLMs in Multilingual Geo-Entity Detection cites this paper.
Comparative Performance of Advanced NLP Models and LLMs in Multilingual Geo-Entity Detection mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T23:24:46.181323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.