Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.05571.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:33:51.155916Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:11:15.878364Z
Reference resolution
0 of 0 outbound references displayed
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- parse uncertain0
- malformed identifier0
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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 ee88b84a-a7f4-4ea1-9217-591dc5e2a9b2 · inbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms cites this paper.
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:33:51.155916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9132b2b7-9416-4b58-93bc-aff69bf5f78c · inbound
Physics-informed sensor coverage through structure preserving machine learning cites this paper.
Physics-informed sensor coverage through structure preserving machine learning A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:58:16.284845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e57ab901-8907-44ff-8be5-b99e5391f386 · inbound
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs cites this paper.
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:22:11.747812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a389fb47-cebe-4412-a765-8a02516bfbce · inbound
A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting cites this paper.
A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:14:46.543467Z
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 c7d7b00c-7d86-4b2e-90fe-6f6adeb33e22 · inbound
A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds cites this paper.
A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:11:15.880524Z
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.