Paper Citation Record · LEDGER

Generative Adversarial Neural Operators

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.03017.

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

pith.paper-citation-record.v1
2205.03017 v2

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 2026-08-07T04:19:44.445827Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:32:45.693838Z

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 d7e9a9ae-cc13-43bb-bf8a-72ab38486892 · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Generative Adversarial Neural Operators

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:44.445827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a853477-0e8c-469b-b921-c8d232f70087 · inbound

Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling cites this paper.

Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling Generative Adversarial Neural Operators

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:26:18.526193Z

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 553d8152-3609-43c9-9a97-05a2cf7baf07 · inbound

Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space cites this paper.

Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space Generative Adversarial Neural Operators

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:50.960073Z

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 90132336-4f1c-4f98-a102-0b219fe40aaf · inbound

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects cites this paper.

Harnessing AI for Inverse Partial Differential Equation Problems: Past, Present, and Prospects Generative Adversarial Neural Operators

Reference 189

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:32:45.695231Z

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.