Paper Citation Record · LEDGER

MIONet: Learning multiple-input operators via tensor product

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.06137.

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

pith.paper-citation-record.v1
2202.06137 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:29:34.066103Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:45:28.915943Z

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 59e32686-aca1-454b-ae55-34d2c2c983c9 · inbound

Learning Hidden Physics and System Parameters with Deep Operator Networks cites this paper.

Learning Hidden Physics and System Parameters with Deep Operator Networks MIONet: Learning multiple-input operators via tensor product

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:45:28.918963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a29d156-f354-4e08-b013-430b57b0e253 · inbound

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations cites this paper.

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations MIONet: Learning multiple-input operators via tensor product

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:34.066103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a54dded8-40da-414f-9e30-fe4fea7ac8a8 · inbound

Operator-based machine learning framework for generalizable prediction of unsteady treatment dynamics in stormwater infrastructure cites this paper.

Operator-based machine learning framework for generalizable prediction of unsteady treatment dynamics in stormwater infrastructure MIONet: Learning multiple-input operators via tensor product

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:56.450470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c52f4272-fd36-4617-a0a9-20737f958cd6 · inbound

Physics informed operator learning of parameter dependent spectra cites this paper.

Physics informed operator learning of parameter dependent spectra MIONet: Learning multiple-input operators via tensor product

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:26:14.381164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.