Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T18:39:58.011378Z
Paper Citation Record · LEDGER
Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models
As of 15 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2605.26575.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9cae55b3-1bc6-4513-b2a6-b9c07eb7ea6e · outbound
This paper cites InProceedings of the 17th Conference of the European Chapter of the As- sociation for Computational Linguistics, pages 3682– 3700, Dubrovnik, Croatia.
Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models InProceedings of the 17th Conference of the European Chapter of the As- sociation for Computational Linguistics, pages 3682– 3700, Dubrovnik, Croatia
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-29T18:39:58.011378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1852df85-7f29-4a5d-90ab-7721a5e5a2d5 · outbound
This paper cites Improving zero-shot learning by mitigating the hubness problem.
Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models Improving zero-shot learning by mitigating the hubness problem
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:43:50.567152Z
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.
Observation ac2ce170-587c-4b9f-ae82-fe0fc346b641 · outbound
This paper cites Language-agnostic BERT Sentence Embedding.
Hubness, Not Anisotropy, Drives Cross-Lingual Retrieval Asymmetry in Multilingual Embedding Models Language-agnostic BERT Sentence Embedding
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T18:43:50.569785Z
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.
Pith citing papers
No inbound Pith citation observations are available.