Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning solution operators of PDEs defined on varying domains via MIONet
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.15097.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:53.123755Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:02:38.228079Z
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 50378469-3c65-4624-b2e9-45522e65d685 · inbound
A deformation-based framework for learning solution mappings of PDEs defined on varying domains cites this paper.
A deformation-based framework for learning solution mappings of PDEs defined on varying domains Learning solution operators of PDEs defined on varying domains via MIONet
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:31:53.123755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f391b816-9c82-42e3-8c5b-f4e9a64af76e · inbound
Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions cites this paper.
Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions Learning solution operators of PDEs defined on varying domains via MIONet
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:02:38.231034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 934be89f-97f7-439d-a03f-9cf526ab94ab · inbound
Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries cites this paper.
Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries Learning solution operators of PDEs defined on varying domains via MIONet
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:12:46.246352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 862a5223-0a74-4cd7-a7e7-01c99a0e6e9e · inbound
DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios cites this paper.
DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios Learning solution operators of PDEs defined on varying domains via MIONet
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:20:47.208129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12ec66b1-3216-4b22-a2f8-7cdb72da8650 · inbound
Neural Shape Operator Surrogates -- Expression Rate Bounds cites this paper.
Neural Shape Operator Surrogates -- Expression Rate Bounds Learning solution operators of PDEs defined on varying domains via MIONet
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:10:09.866229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.