Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.02176.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-30T16:23:26.392137Z
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.