Paper Citation Record · LEDGER

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1904.09077.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1904.09077 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:40:08.295031Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T05:00:38.099346Z

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 4cc09ccb-5614-4795-90d5-cd1a70f56a65 · inbound

Small and Practical BERT Models for Sequence Labeling cites this paper.

Small and Practical BERT Models for Sequence Labeling Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T06:07:45.588360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f89286-26c1-4a32-a5ed-5820f7bc25e6 · inbound

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation cites this paper.

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T05:55:27.945734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdbe14e0-12b4-48ab-95f5-2b696f44f18b · inbound

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks cites this paper.

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T05:34:31.699956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2011ac12-3a30-4c95-8c2a-abc1f58dc9db · inbound

Investigating Multilingual NMT Representations at Scale cites this paper.

Investigating Multilingual NMT Representations at Scale Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:00:38.104633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 045f4090-0900-4683-9e18-323685074bfb · inbound

Targeted Lexical Injection: Unlocking Latent Cross-Lingual Alignment in Lugha-Llama via Early-Layer LoRA Fine-Tuning cites this paper.

Targeted Lexical Injection: Unlocking Latent Cross-Lingual Alignment in Lugha-Llama via Early-Layer LoRA Fine-Tuning Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:40:08.295031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.