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Paper Citation Record · LEDGER

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.16680.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.16680 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:42:46.998543Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T15:42:47.078960Z

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 c41e0749-d370-4d22-b8a1-bf505d01a359 · inbound

A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation cites this paper.

A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:42:47.087359Z

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=arxiv_source observed=2026-08-11T15:42:46.998543Z digest=sha256:51d8225a368e16eecd95e7e1aad6ed31afcb41a0c0b15dd0bac1adc7d6b40000