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Paper Citation Record · LEDGER

GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.08010.

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

pith.paper-citation-record.v1
2308.08010 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:49.750685Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

0 of 0 outbound references displayed

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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 efd538d6-0a3b-47fb-8ef4-3fced9ea91ea · inbound

Applications of machine learning in gravitational wave research with current interferometric detectors cites this paper.

Applications of machine learning in gravitational wave research with current interferometric detectors GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T11:42:49.750685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:42:49.750685Z digest=sha256:320d68e0e605fb2a4d1dce457b33b13a1505813a47c2165301f610ecef7a0623

Observation b2d7cb7e-b44e-4102-95f9-0dd2618014dd · inbound

Cosmological Simulations of Galaxies cites this paper.

Cosmological Simulations of Galaxies GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:15:55.411585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:15:55.411585Z digest=sha256:06f6821cd9f66c2b1c24379ba1c167e5c6b57ee889c304030eb7fbdb45ffb405