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Paper Citation Record · LEDGER

DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.07807.

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

pith.paper-citation-record.v1
1812.07807 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T06:05:18.188132Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:58:47.736789Z

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 95feda04-acf4-4c23-a51c-0cc742ca0918 · inbound

Improving Multi-Head Attention with Capsule Networks cites this paper.

Improving Multi-Head Attention with Capsule Networks DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T06:05:18.188132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T06:05:18.188132Z digest=sha256:a4ba5c029a4e50e1382dfe226c8b52373eefd3a6edaf09a7090ec2ff709a50db

Observation cfea9602-c124-4899-8ccd-58d728fa26d1 · inbound

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis cites this paper.

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis DTMT: A Novel Deep Transition Architecture for Neural Machine Translation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:58:47.743041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T05:58:46.966843Z digest=sha256:55599999305993240cd777b9511893f1d216e64d784968d66731e38e098f4ebd