Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LSTM-based Deep Learning Models for Non-factoid Answer Selection
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1511.04108.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:57.867687Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T12:37:54.219260Z
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 37ee7258-46a2-4abd-ae04-c9815e669691 · inbound
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System cites this paper.
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System LSTM-based Deep Learning Models for Non-factoid Answer Selection
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:46:42.288472Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 418bb51b-a64c-401a-b6a6-089be5d56529 · inbound
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints cites this paper.
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints LSTM-based Deep Learning Models for Non-factoid Answer Selection
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T12:37:54.230175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7750b17f-e00c-4652-8dd7-9c6f14758f74 · inbound
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models cites this paper.
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models LSTM-based Deep Learning Models for Non-factoid Answer Selection
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:38:57.867687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.