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Paper Citation Record · LEDGER

Transfer Learning for Low-Resource Neural Machine Translation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1604.02201.

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

pith.paper-citation-record.v1
1604.02201 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T16:36:02.895613Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T16:38:11.312320Z

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 66848429-e1a5-436e-8c80-2e8e857ab506 · inbound

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research cites this paper.

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research Transfer Learning for Low-Resource Neural Machine Translation

Reference 159

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T16:38:11.314824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T16:36:02.895613Z digest=sha256:8296feeac6ac645ce340ff2a2876a535eabb4ac51deecb48a7b2b9caf26904c9

Observation b85cd7b8-0079-4c3e-b9fc-4727144ff5ca · inbound

The Role of Vocabularies in Learning Sparse Representations for Ranking cites this paper.

The Role of Vocabularies in Learning Sparse Representations for Ranking Transfer Learning for Low-Resource Neural Machine Translation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-18T15:56:34.199099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T15:56:06.591463Z digest=sha256:787fdff13b5123f53b42fd94fb36222de6be6ba0fb1f4a6eb1463432cef8345b