Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
R-adaptive DeepONet: Learning Solution Operators for PDEs with Discontinuous Solutions Using an R-adaptive Strategy
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.04157.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:22:09.914614Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 81abda56-f703-4c77-8ec2-fdc799c7c528 · inbound
Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks cites this paper.
Efficient Transformer-Inspired Variants of Physics-Informed Deep Operator Networks R-adaptive DeepONet: Learning Solution Operators for PDEs with Discontinuous Solutions Using an R-adaptive Strategy
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:22:09.914614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cd8ccee-8634-4762-bb24-e3b437dfff35 · inbound
Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions cites this paper.
Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions R-adaptive DeepONet: Learning Solution Operators for PDEs with Discontinuous Solutions Using an R-adaptive Strategy
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:08:06.352367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0a579601-dbd8-415e-9c44-ce067d3a2e51 · inbound
Inverse Low-Dimensional Manifold Reconstruction Framework for Spatiotemporal Reconstruction of Compressible Physical Fields cites this paper.
Inverse Low-Dimensional Manifold Reconstruction Framework for Spatiotemporal Reconstruction of Compressible Physical Fields R-adaptive DeepONet: Learning Solution Operators for PDEs with Discontinuous Solutions Using an R-adaptive Strategy
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:36:31.514706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.