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Paper Citation Record · LEDGER

Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.02577.

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

pith.paper-citation-record.v1
2004.02577 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:34.268466Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:29:40.954169Z

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 a84b703d-641f-4182-89e7-44b5f4a1e29a · inbound

From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation cites this paper.

From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:34.268466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:51:34.268466Z digest=sha256:882e39fd71219a5cdfab9124052bc3a7cc8f4080c4b3a5f8e46c935bd1df6e19

Observation 8e377e11-10f0-4159-87c7-91c48891d656 · inbound

In-Domain African Languages Translation Using LLMs and Multi-armed Bandits cites this paper.

In-Domain African Languages Translation Using LLMs and Multi-armed Bandits Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:29:41.033786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T15:29:36.253084Z digest=sha256:2b1b605d2df10aba59b24bfcb7a00902476985b73efe778c6f980b84b70a55e6