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Paper Citation Record · LEDGER

Modeling Coverage for Neural Machine Translation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1601.04811.

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

pith.paper-citation-record.v1
1601.04811 v6

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:50:58.260377Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:19:38.597658Z

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 01d523f7-9f2c-4555-bfcf-f9d89408597d · inbound

Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition cites this paper.

Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition Modeling Coverage for Neural Machine Translation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T16:50:58.260377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:50:58.260377Z digest=sha256:fc46e66472f66a0e1180760580a716c6a54429a4f384252a80cb438e8c636ea9

Observation 4383d1b8-fced-4c2c-9863-e24911846437 · inbound

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition cites this paper.

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition Modeling Coverage for Neural Machine Translation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:19:38.674747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:19:37.142786Z digest=sha256:2083b125201d59a58567b1fa03d338bd5eacb5cc736bc55440ab1f2abedd740d