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Paper Citation Record · LEDGER

Tree-to-Sequence Attentional Neural Machine Translation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1603.06075.

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

pith.paper-citation-record.v1
1603.06075 v3

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:41:37.307749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:59:58.251500Z

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 7a636074-6de6-4ecf-b746-9dc73840438c · inbound

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums cites this paper.

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums Tree-to-Sequence Attentional Neural Machine Translation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T11:41:37.307749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:41:37.307749Z digest=sha256:b6b370f71a3a48ad1a89f0b1184b90a61748ead6c4e8b10161d5d7c1a8a3422d

Observation 2a3c0e10-050d-42ba-b9f1-37a27232879a · inbound

A Better Way to Attend: Attention with Trees for Video Question Answering cites this paper.

A Better Way to Attend: Attention with Trees for Video Question Answering Tree-to-Sequence Attentional Neural Machine Translation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:59:58.257021Z

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=2026-08-14T04:59:57.898816Z digest=sha256:c1dfb7dc85603cd3db2428519114dd9fd03a08f8efe27197b95987dc7ebc7952