Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An attention-based neural ordinary differential equation framework for modeling inelastic processes
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.10633.
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 2026-08-07T10:19:10.308498Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:19:13.614424Z
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 225e00f3-4e77-4b28-a664-63a4f98d03b6 · inbound
Differentiable neural network representation of multi-well, locally-convex potentials cites this paper.
Differentiable neural network representation of multi-well, locally-convex potentials An attention-based neural ordinary differential equation framework for modeling inelastic processes
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:19:13.784975Z
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 115e1897-4b9a-44e3-9bb6-11096e9ab462 · inbound
A hierarchy of thermodynamics learning frameworks for inelastic constitutive modeling cites this paper.
A hierarchy of thermodynamics learning frameworks for inelastic constitutive modeling An attention-based neural ordinary differential equation framework for modeling inelastic processes
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T19:22:13.145424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.