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Paper Citation Record · LEDGER

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.11867.

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

pith.paper-citation-record.v1
2004.11867 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:33.440274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:41:54.014678Z

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 3c718356-4433-426e-bff6-9eb7c5b7d5d8 · inbound

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation cites this paper.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:33.440274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:33.440274Z digest=sha256:2d4a66e894b9056fdf9cb2ff21cbdb9911f64074a098662c1d45fc42bb31166d

Observation 6b21e45a-e1a0-4e76-bfa8-0e2d9f32fe3e · inbound

VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models cites this paper.

VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:54.017238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T22:37:01.014698Z digest=sha256:7214f4a61bc5de2123f2140bca0ac36a255a4ee1916c4bf3b87f2dac45cb3ad4