Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A predictive physics-aware hybrid reduced order model for reacting flows
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.09860.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:22:11.129602Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T12:12:25.649484Z
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 1a5818d5-4f36-4e89-a8d9-1907b223adfc · inbound
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements cites this paper.
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements A predictive physics-aware hybrid reduced order model for reacting flows
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T12:12:25.654136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d4fec4bb-b0df-4098-95ee-40c7d07a8df6 · inbound
An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning cites this paper.
An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning A predictive physics-aware hybrid reduced order model for reacting flows
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:22:11.129602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.