Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1812.03593.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:03:30.087839Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T05:11:26.911181Z
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 393910c0-7309-46f7-b1dd-7a28ae5d3760 · inbound
Dialog State Tracking: A Neural Reading Comprehension Approach cites this paper.
Dialog State Tracking: A Neural Reading Comprehension Approach SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:03:30.087839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96349b1b-e962-4ec2-accf-bdde8722f1b1 · inbound
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension cites this paper.
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:25:16.301672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85ef2900-ff64-4ba8-ade0-3fdf5094072a · inbound
Patient Knowledge Distillation for BERT Model Compression cites this paper.
Patient Knowledge Distillation for BERT Model Compression SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:18:24.958517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 409c9849-85a5-4fae-8a4a-ebd447b2daa9 · inbound
Building Open-Retrieval Conversational Question Answering Systems by Generating Synthetic Data and Decontextualizing User Questions cites this paper.
Building Open-Retrieval Conversational Question Answering Systems by Generating Synthetic Data and Decontextualizing User Questions SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:42:54.951006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39d4b097-3b07-4918-ac21-f883ea7130d4 · inbound
A Survey of the State-of-the-Art in Conversational Question Answering Systems cites this paper.
A Survey of the State-of-the-Art in Conversational Question Answering Systems SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T05:11:26.915716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.