Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.13300.
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 2026-08-12T20:33:45.291803Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T03:33:50.947441Z
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 6e0422e1-5d96-49e3-8926-ded02f9acf20 · inbound
Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces cites this paper.
Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:33:50.950565Z
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 31406db7-1b22-4fe4-a367-f44d14ca23f8 · inbound
Neural Operators Can Play Dynamic Stackelberg Games cites this paper.
Neural Operators Can Play Dynamic Stackelberg Games Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:33:45.291803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.