Paper Citation Record · LEDGER

Ensemble and Mixture-of-Experts DeepONets For Operator Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.11907.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.11907 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:34:09.327785Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T20:30:08.139467Z

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 0d5f916d-f703-43b1-8cfb-aea6a93dc429 · inbound

Time Resolution Independent Operator Learning cites this paper.

Time Resolution Independent Operator Learning Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T20:34:09.327785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ddf26d-273f-4263-873f-6c832f0ad0ee · inbound

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs cites this paper.

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:34.626652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c4819c-6fa9-43aa-896f-11087a5cffb4 · inbound

AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics cites this paper.

AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:10:38.663638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed0405b7-7a4d-4cb4-aa9b-d4b86e9dd76d · inbound

SPAMoE: Spectrum-Aware Hybrid Operator Framework for Full-Waveform Inversion cites this paper.

SPAMoE: Spectrum-Aware Hybrid Operator Framework for Full-Waveform Inversion Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:31:00.832895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35bbda69-ed2a-48ea-8b95-e6e2e21f13a0 · inbound

SPAMoE: Spectrum-Aware Hybrid Operator Framework for Full-Waveform Inversion cites this paper.

SPAMoE: Spectrum-Aware Hybrid Operator Framework for Full-Waveform Inversion Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T08:35:30.948277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a331db6-6094-49c2-a7f5-80a7253cf189 · inbound

Operator Learning on the Data-Driven Multiscale Space for Nonlinear Flow in Random Heterogeneous Porous Media cites this paper.

Operator Learning on the Data-Driven Multiscale Space for Nonlinear Flow in Random Heterogeneous Porous Media Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:30:08.141386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c41e6c95-1fcd-4a58-9716-a230159a40ca · inbound

A Trainable-by-Parts Operator Learning Framework: Bridging DeepONet and Karhunen-Loeve Expansions for Large-Scale Applications cites this paper.

A Trainable-by-Parts Operator Learning Framework: Bridging DeepONet and Karhunen-Loeve Expansions for Large-Scale Applications Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.809560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74136e9e-695a-4eed-9224-71cdf05b133c · inbound

From Classification to Regression: Using a Fruitfly to Solve Equations cites this paper.

From Classification to Regression: Using a Fruitfly to Solve Equations Ensemble and Mixture-of-Experts DeepONets For Operator Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-30T13:47:45.564948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.