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Paper Citation Record · LEDGER

Graph-to-Sequence Learning using Gated Graph Neural Networks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.09835.

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

pith.paper-citation-record.v1
1806.09835 v1

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:32:12.114775Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:23:06.660823Z

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 22ed94df-90b8-4b58-8c17-dff1d62f3b90 · 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-to-Sequence Learning using Gated Graph Neural Networks

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-14T13:32:12.114775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:32:12.114775Z digest=sha256:0324617fc09267878e71def2b776f18dd883caf2f7f32ec2ea924d8948a42b1e

Observation 7d268423-d9da-4e16-bb63-592aa13e74e1 · inbound

Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence cites this paper.

Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence Graph-to-Sequence Learning using Gated Graph Neural Networks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:23:06.667816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T05:23:06.271059Z digest=sha256:28905eb461f6023bc4f2f54de59f10818a1faa47fd54179814732d931cbeff1e