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Paper Citation Record · LEDGER

A Survey Of Cross-lingual Word Embedding Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1706.04902.

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

pith.paper-citation-record.v1
1706.04902 v4

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:42:51.110403Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:55:28.125886Z

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 952423fc-6016-405c-8261-251c04cb135c · inbound

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces cites this paper.

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces A Survey Of Cross-lingual Word Embedding Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T12:42:51.110403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:42:51.110403Z digest=sha256:16acffb5cccb80a46947793ff4f2ca3498f39918a998214dcff170b98361b068

Observation 6d987d3e-779c-406d-baeb-38556e6e5c3a · inbound

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation cites this paper.

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation A Survey Of Cross-lingual Word Embedding Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:55:28.130091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T05:55:27.896740Z digest=sha256:f1c8b70c9589ebff3800804541c8ed86399e3f4b433ef3096dca0fd82cdbb34d