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Paper Citation Record · LEDGER

Addressing the Rare Word Problem in Neural Machine Translation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1410.8206.

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

pith.paper-citation-record.v1
1410.8206 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:59:15.578063Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:21:21.205486Z

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 fb820baf-f005-478c-afbc-5a02aac5ae26 · inbound

Deep Learning Based Chatbot Models cites this paper.

Deep Learning Based Chatbot Models Addressing the Rare Word Problem in Neural Machine Translation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-14T11:31:41.162214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:31:41.162214Z digest=sha256:6cf05ed2ba3c77e92876ca976c98b38282f664aedb16758e233777e8e57819e0

Observation 20e1c6c1-5a19-4c66-90d1-9c1cd2d68b0d · inbound

Multi-task Learning for Low-resource Second Language Acquisition Modeling cites this paper.

Multi-task Learning for Low-resource Second Language Acquisition Modeling Addressing the Rare Word Problem in Neural Machine Translation

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T11:21:21.210601Z

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=pdf_text observed=2026-08-14T11:21:21.061642Z digest=sha256:ab4512235be6f397b2fbee2c673c17793a6ff01eca8f5bbc10c9c46482685129

Observation 7a45ad92-91a7-406d-89fb-a283f2d88e21 · inbound

A New NMT Model for Translating Clinical Texts from English to Spanish cites this paper.

A New NMT Model for Translating Clinical Texts from English to Spanish Addressing the Rare Word Problem in Neural Machine Translation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T16:59:15.578063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:59:15.578063Z digest=sha256:2448e42e4a4e1b91cd335d23f823b3ea14c634e2e9f6f1b33722e506e5f156f2