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Paper Citation Record · LEDGER

Vocabulary Selection Strategies for Neural Machine Translation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1610.00072.

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

pith.paper-citation-record.v1
1610.00072 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:10:57.530554Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T15:51:00.171717Z

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 cd00cd83-d529-4f31-b92b-6a4e2b9c67ae · inbound

Sharing Attention Weights for Fast Transformer cites this paper.

Sharing Attention Weights for Fast Transformer Vocabulary Selection Strategies for Neural Machine Translation

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-25T15:51:00.174811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T15:49:06.606894Z digest=sha256:8bb1ec6ea207a1990145035a707c6129aa702db33ad2198cdd9fed89dc30a38e

Observation 021ccbbe-febd-425a-805a-2de8b93410b9 · inbound

Simple and Effective Noisy Channel Modeling for Neural Machine Translation cites this paper.

Simple and Effective Noisy Channel Modeling for Neural Machine Translation Vocabulary Selection Strategies for Neural Machine Translation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T13:10:57.530554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:10:57.530554Z digest=sha256:2027ac796b589211300535c7b71d3898a060873b25cc6a2c1308f7200739c68d

Observation 3c15aebe-0c08-4d75-b5e0-fdc5b7ad1c79 · inbound

Banzhaf Power in Hierarchical Voting Games cites this paper.

Banzhaf Power in Hierarchical Voting Games Vocabulary Selection Strategies for Neural Machine Translation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T21:04:11.844753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:04:11.844753Z digest=sha256:257bf7a5a5fb8fd5465338785578f70a3b38c280f8ea190cded9bf80e6561bbf

Observation 4a1b33f0-62ad-4c7f-b3e0-de9fed0dd9ca · inbound

Efficient Multilingual Neural Machine Translation via Corpus-Driven Vocabulary Pruning: An English-Arabic Case Study cites this paper.

Efficient Multilingual Neural Machine Translation via Corpus-Driven Vocabulary Pruning: An English-Arabic Case Study Vocabulary Selection Strategies for Neural Machine Translation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T18:20:38.893497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:20:38.893497Z digest=sha256:7087c131fdb4d6b9223791dc57313570000d280fece5f35bbf0ea64cb5149256