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Paper Citation Record · LEDGER

Investigating the potential of Sparse Mixtures-of-Experts for multi-domain neural machine translation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.01126.

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

pith.paper-citation-record.v1
2407.01126 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:06.725820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:42:11.365495Z

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 eb60d71f-c5c3-40bb-ab67-2938904cac95 · inbound

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation cites this paper.

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation Investigating the potential of Sparse Mixtures-of-Experts for multi-domain neural machine translation

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:11.367858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:38:29.497183Z digest=sha256:cc9c4545e4070bd64386f2c858ee550c30cb2deceb4830db99681b73f1cab4ad

Observation 56857b8e-48e0-469b-b5b5-b70ce970c707 · inbound

Multi-Domain Explainability of Preferences cites this paper.

Multi-Domain Explainability of Preferences Investigating the potential of Sparse Mixtures-of-Experts for multi-domain neural machine translation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:06.725820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:05:06.725820Z digest=sha256:464c1a0538200adc9da7d264cf76028c86b722cdfa9db53df1358317c4590fe9