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 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:35:48.784024Z
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 681963b8-7c6f-44f3-9498-d43f16979a68 · inbound
The impact of AI on engineering design procedures for dynamical systems cites this paper.
The impact of AI on engineering design procedures for dynamical systems Learning Discrepancy Models From Experimental Data
Reference 149
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:35:48.784024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-21T06:32:19.484+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.