Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Discrepancy Models From Experimental Data
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.08574.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:18:18.235259Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T00:05:31.361375Z
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 71dfe7fa-55d4-43d9-936e-d777a797c51f · inbound
A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series cites this paper.
A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series Learning Discrepancy Models From Experimental Data
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:05:31.363373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b819e6ef-cd57-4f66-9c2c-b9e0dc289676 · inbound
A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series cites this paper.
A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series Learning Discrepancy Models From Experimental Data
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:18:18.235259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b98de55-55c9-4192-80d9-12827618beac · inbound
Wasserstein Geometry of Information Loss in Nonlinear Dynamical Systems cites this paper.
Wasserstein Geometry of Information Loss in Nonlinear Dynamical Systems Learning Discrepancy Models From Experimental Data
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T06:29:58.238214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.