Pith. sign in

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.

pith.paper-citation-record.v1
2406.17933 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:24.385718Z

measured 0 of 1 external citation measurements

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

  • 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 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.

source=pdf_text observed=2026-08-10T23:01:24.385718Z digest=sha256:53617ae6032c85b196a552f75946075077707c27c55394358b4a33b65a62ca67

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.

source=arxiv_source observed=2026-08-08T13:59:42.423012Z digest=sha256:791181f45a7d6d3102bae9b27889797e086cfe8b8992b6235d391f05f0a3f2b8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T05:08:29.300278Z digest=sha256:83beeb038e146583bf1bad672731f0b96ae2699d6638b6ac6f3f6f1d6f15d858