Paper Citation Record · LEDGER

AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.02176.

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

pith.paper-citation-record.v1
2406.02176 v3

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:15:54.413463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:43:29.083127Z

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 e7defe7c-0ac8-47f1-a226-3921efb4803e · inbound

Data-Efficient Neural Operator Training via Physics-Based Active Learning cites this paper.

Data-Efficient Neural Operator Training via Physics-Based Active Learning AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.526263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b196f431-f71a-4863-a69a-520a6caff4ed · inbound

LEIA: Learned Environment for Interactive Architected Materials cites this paper.

LEIA: Learned Environment for Interactive Architected Materials AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:43:29.084646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bec5bc38-e4d8-4e67-90a5-6fca86ea1913 · 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 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T16:23:26.392137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cd2e1c-b263-487e-bf5c-56f610e3d84f · inbound

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries cites this paper.

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T11:15:54.413463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.