Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A deep learning energy method for hyperelasticity and viscoelasticity
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.08690.
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 2026-08-15T23:23:40.128109Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T22:40:13.452581Z
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 01694345-a389-413b-88a6-0a6350177f0a · inbound
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method cites this paper.
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method A deep learning energy method for hyperelasticity and viscoelasticity
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:23:40.128109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ce2eb44-95b7-4b3d-bdcc-b917f09d8d8e · inbound
Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient cites this paper.
Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient A deep learning energy method for hyperelasticity and viscoelasticity
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:48:10.354962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f85a2de9-37ff-4cfa-bd55-3ac407a33d2c · inbound
Variational volume reconstruction with the Deep Ritz Method cites this paper.
Variational volume reconstruction with the Deep Ritz Method A deep learning energy method for hyperelasticity and viscoelasticity
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T22:40:13.457129Z
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.