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Paper Citation Record · LEDGER

A Simple Baseline to Semi-Supervised Domain Adaptation for 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:2001.08140.

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

pith.paper-citation-record.v1
2001.08140 v2

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 2026-08-12T04:51:34.190518Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:29:41.585160Z

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 4fa418b3-39a0-4f79-8c3f-8e48bc4a4149 · 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 A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:34.190518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:51:34.190518Z digest=sha256:f499b190e757b336c9c34d1c7f72d37dc45150ab5276b4f4fb9a0d0eb885d04c

Observation e8ba3f88-346b-4b0a-a9ba-158683587ed1 · 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 A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:29:41.648495Z

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=2026-08-07T15:29:35.079762Z digest=sha256:6e61e2ed1e55f8bafa7f223ac5d89bf6d76814df894ff343af1c342a0a81cc07