Paper Citation Record · LEDGER

GNOT: A General Neural Operator Transformer for Operator Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.14376.

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

pith.paper-citation-record.v1
2302.14376 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:05:53.343053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:07:51.070610Z

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 567bc6df-beab-4307-b063-7cde4bb7bbca · inbound

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids cites this paper.

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids GNOT: A General Neural Operator Transformer for Operator Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:53.343053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491d92c1-81a3-4354-8587-52b9f4abbd80 · inbound

BSA: Ball Sparse Attention for Large-scale Geometries cites this paper.

BSA: Ball Sparse Attention for Large-scale Geometries GNOT: A General Neural Operator Transformer for Operator Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:50.568635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68fc2223-31ae-43b5-984b-f632082cebb1 · inbound

M$^3$: Reframing Training Measures for Discretized Physical Simulations cites this paper.

M$^3$: Reframing Training Measures for Discretized Physical Simulations GNOT: A General Neural Operator Transformer for Operator Learning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:21:16.598260Z

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 1ff452ef-8715-4837-b471-dd4aa7ac4158 · inbound

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations cites this paper.

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations GNOT: A General Neural Operator Transformer for Operator Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:07:51.074156Z

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 6dc53985-19d8-4434-ab0d-55d44ee5057e · inbound

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study cites this paper.

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study GNOT: A General Neural Operator Transformer for Operator Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T16:23:26.472948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4e6d8b-1d6a-43f9-8d86-92157600187c · inbound

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation cites this paper.

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation GNOT: A General Neural Operator Transformer for Operator Learning

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-06T00:30:47.767100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.