Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Unified Query-based Generative Model for Question Generation and Question Answering
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1709.01058.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:32:12.261967Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T06:06:27.959501Z
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 aa91904c-f0a4-47b4-86e9-611f3c78176a · 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 A Unified Query-based Generative Model for Question Generation and Question Answering
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:32:12.261967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c23bd21-03d2-41b7-b2b4-5a26a0f3313f · inbound
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering cites this paper.
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering A Unified Query-based Generative Model for Question Generation and Question Answering
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:50:52.507509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dd4656a-fc57-4bc9-9659-fa3993155be0 · inbound
Let's Ask Again: Refine Network for Automatic Question Generation cites this paper.
Let's Ask Again: Refine Network for Automatic Question Generation A Unified Query-based Generative Model for Question Generation and Question Answering
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T06:06:27.966890Z
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.