Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.04448.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:30.331864Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 48cbdf70-c6df-40d0-9c6a-28954f21e1fc · inbound
Interpretable deep convolutional model for nonlinear multivariate time series in complex systems cites this paper.
Interpretable deep convolutional model for nonlinear multivariate time series in complex systems seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:41:30.331864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83560fbf-f51b-4d6d-8ec5-e455e6f7098e · inbound
TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations cites this paper.
TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention
Reference 288
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T23:15:48.573703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.