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Paper Citation Record · LEDGER

Improving Neural Question Generation using Answer Separation

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.02393.

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

pith.paper-citation-record.v1
1809.02393 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:32:12.178164Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T06:06:28.080685Z

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 be059dae-9646-45f9-a185-073389d07f93 · 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 Improving Neural Question Generation using Answer Separation

Reference 1997

Resolution
unresolved
no resolver link, observed 2026-08-14T13:32:12.178164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:32:12.178164Z digest=sha256:e4b81a61017a3a44a716ae0d1f0f15710bcce555f73ffc7b221128b6fe0319cc

Observation 887c7dcb-11cf-46ab-9a3e-061876224857 · inbound

Let's Ask Again: Refine Network for Automatic Question Generation cites this paper.

Let's Ask Again: Refine Network for Automatic Question Generation Improving Neural Question Generation using Answer Separation

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T06:06:28.085740Z

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=2026-08-14T06:06:27.787022Z digest=sha256:91a7e2720f05eda2ec3b4f18dae8886f77b10b51b713e4eb52536ee6e9d47226