Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.02198.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:14:22.143906Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T07:45:28.907389Z
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 e40e5a63-b732-4a8e-8f83-091b31170c7d · inbound
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications cites this paper.
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:14:22.143906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f84360fd-a4c7-4b4c-a1b9-98ec397f884c · inbound
Learning Hidden Physics and System Parameters with Deep Operator Networks cites this paper.
Learning Hidden Physics and System Parameters with Deep Operator Networks Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T07:45:28.910218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aae18416-9640-4070-b1a9-91779121f3f5 · inbound
Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows cites this paper.
Fusion-DeepONet: A Data-Efficient Neural Operator for Geometry-Dependent Hypersonic and Supersonic Flows Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:20:27.563324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.