Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A deep learning framework for solution and discovery in solid mechanics
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2003.02751.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:09:42.412226Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
79
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 87a2377b-fb08-446b-a123-c36626e72978 · inbound
Bayesian Reasoning for Physics Informed Neural Networks cites this paper.
Bayesian Reasoning for Physics Informed Neural Networks A deep learning framework for solution and discovery in solid mechanics
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T08:06:03.840264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 63fc82e8-4c41-4212-abca-2585773bb0a5 · inbound
HeartSimSage: Attention-Enhanced Graph Neural Networks for Accelerating Cardiac Mechanics Modeling cites this paper.
HeartSimSage: Attention-Enhanced Graph Neural Networks for Accelerating Cardiac Mechanics Modeling A deep learning framework for solution and discovery in solid mechanics
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:09:42.412226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 830513c4-0b3c-4a30-b15e-fafa42c6fc72 · inbound
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification cites this paper.
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification A deep learning framework for solution and discovery in solid mechanics
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:40:58.035749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddb5027a-27ae-4ef5-b7db-e8e9886fd2db · inbound
Numerical simulation of transient heat conduction with moving heat source using Physics Informed Neural Networks cites this paper.
Numerical simulation of transient heat conduction with moving heat source using Physics Informed Neural Networks A deep learning framework for solution and discovery in solid mechanics
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:06:47.876744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 333d9e82-d748-49c8-bb66-d6e7e9e852ce · inbound
PI-GINOT: Data-free geometry-informed neural operator learning for finite-strain hyperelasticity on parametric DogBone specimens cites this paper.
PI-GINOT: Data-free geometry-informed neural operator learning for finite-strain hyperelasticity on parametric DogBone specimens A deep learning framework for solution and discovery in solid mechanics
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:51:52.540831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.