Paper Citation Record · LEDGER

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1704.04675.

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

pith.paper-citation-record.v1
1704.04675 v4

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:07.221251Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:32:12.919966Z

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 d811a169-61a6-46a1-91b4-e2f34d132b9e · inbound

Aligning Linguistic Words and Visual Semantic Units for Image Captioning cites this paper.

Aligning Linguistic Words and Visual Semantic Units for Image Captioning Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-14T14:58:14.452870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65cdf42f-4e63-4fc1-9d14-dfb14d184168 · inbound

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation cites this paper.

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:32:12.925124Z

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.

Observation f1198538-2b95-49db-a8d6-424f8973cde7 · inbound

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo cites this paper.

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:50:07.221251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45c7510-3ef5-4a05-b21e-682c2f9cfe9c · inbound

Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series cites this paper.

Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T23:37:03.789022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.