Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.07541.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:12:03.610458Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:54:57.820638Z
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 83689fbe-be41-46f9-a994-6135ce5253f0 · inbound
Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations cites this paper.
Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:12:03.610458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1388ef85-98e6-448b-b331-858cf3234a25 · inbound
An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study cites this paper.
An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:54:57.822166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.