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Paper Citation Record · LEDGER

Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.03116.

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

pith.paper-citation-record.v1
1901.03116 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:36:53.000853Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:01:39.579476Z

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 296ce96d-f9b9-47b5-8e33-66eedf292c3d · inbound

A Survey on Bias and Fairness in Machine Learning cites this paper.

A Survey on Bias and Fairness in Machine Learning Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T11:36:53.000853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:36:53.000853Z digest=sha256:dbff096e134684d08f92ff4d9fa945c9587183f7714d395a9e6b4cf559aea868

Observation f4cf713a-1d86-4453-a390-45aee277b252 · inbound

Examining Gender Bias in Languages with Grammatical Gender cites this paper.

Examining Gender Bias in Languages with Grammatical Gender Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:01:39.585067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:01:39.502323Z digest=sha256:b09bd14f82b0c7c54ca3ba4555647a77de4078f2887be7735200eb7698a0c97f