Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.00260.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:30:47.275215Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T01:59:38.714477Z
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 d24ba56a-2e33-421f-bdcc-e76e4cb9c92b · inbound
Flow Field Reconstruction with Sensor Placement Policy Learning cites this paper.
Flow Field Reconstruction with Sensor Placement Policy Learning Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:59:38.717150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 12f33bf9-eac2-4232-abbf-14b0f317b66c · inbound
Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation cites this paper.
Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:30:47.275215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.