Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Modeling and simulations of high-density two-phase flows using projection-based Cahn-Hilliard Navier-Stokes equations
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.17933.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:24.385718Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T18:23:51.178984Z
Reference resolution
0 of 0 outbound references displayed
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- 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 5e55cbe9-bee2-4489-b066-07bc827c6d43 · inbound
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries cites this paper.
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries Modeling and simulations of high-density two-phase flows using projection-based Cahn-Hilliard Navier-Stokes equations
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:01:24.385718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee401dc0-6bd0-4fc3-90f6-123e1e0ab9e2 · inbound
MPFBench: A Large Scale Dataset for SciML of Multi-Phase-Flows: Droplet and Bubble Dynamics cites this paper.
MPFBench: A Large Scale Dataset for SciML of Multi-Phase-Flows: Droplet and Bubble Dynamics Modeling and simulations of high-density two-phase flows using projection-based Cahn-Hilliard Navier-Stokes equations
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:59:42.423012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7236caed-3a0e-4221-bde8-99108c27394b · inbound
Neural-Network-based Viscosity Closure for Non-Newtonian Multiphase Flows cites this paper.
Neural-Network-based Viscosity Closure for Non-Newtonian Multiphase Flows Modeling and simulations of high-density two-phase flows using projection-based Cahn-Hilliard Navier-Stokes equations
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T18:23:51.180412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.