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Paper Citation Record · LEDGER

Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised 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:2004.02071.

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

pith.paper-citation-record.v1
2004.02071 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:51:34.257362Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:29:41.293876Z

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 2cc57cfb-05e6-43f8-8ff0-e0fc05d8932f · 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 Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:34.257362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:51:34.257362Z digest=sha256:31e2e44219fe52d145f229b2022fefada71e34594d31d4b5175757dc1d5161de

Observation 0fec21c6-7e74-4143-a6f9-3da3f3010c76 · 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 Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:29:41.357317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T15:29:35.796663Z digest=sha256:daf8e4c9662dcb1e8f0ecdef914f4ffba98b4b80183e2bc5985c25a626ed7eea