Paper Citation Record · LEDGER

Coarse Graining with Neural Operators for Simulating Chaotic Systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.05177.

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

pith.paper-citation-record.v1
2408.05177 v6

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 2026-08-06T10:46:04.940120Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c7d0485d-8b40-4a63-953c-c69017122c91 · inbound

Modeling turbulent and self-gravitating fluids with Fourier neural operators cites this paper.

Modeling turbulent and self-gravitating fluids with Fourier neural operators Coarse Graining with Neural Operators for Simulating Chaotic Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:04.940120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71782988-cf1c-40b6-a2dc-da0d7c30ec51 · 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 Coarse Graining with Neural Operators for Simulating Chaotic Systems

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-07-28T01:22:17.848716Z

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 52c615bb-9ee3-4567-9dc8-c42d948e5d28 · inbound

Predictivity and Utility of Neural Surrogates of Multiscale PDEs cites this paper.

Predictivity and Utility of Neural Surrogates of Multiscale PDEs Coarse Graining with Neural Operators for Simulating Chaotic Systems

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-28T01:22:17.848716Z

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 f63e16c1-e626-4bfd-a5b9-238c7b0fd935 · inbound

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction cites this paper.

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction Coarse Graining with Neural Operators for Simulating Chaotic Systems

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-07-28T01:22:17.848716Z

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.