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Paper Citation Record · LEDGER

Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.12971.

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

pith.paper-citation-record.v1
2402.12971 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:48:33.514846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:15:58.682721Z

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 0d745104-6994-497d-a12b-c8da02bdaa6d · inbound

Solver-in-the-loop approach to closure of shell models of turbulence cites this paper.

Solver-in-the-loop approach to closure of shell models of turbulence Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T16:48:33.514846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:48:33.514846Z digest=sha256:23f11e9c010a66dfb9849fa71664ae82c2fc175d1e05b5ddb2d9e998ae6a51cd

Observation 81138ed4-5660-4b25-995a-7a535a986797 · inbound

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence cites this paper.

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T15:36:05.988012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:36:05.988012Z digest=sha256:1e1e4cdec5e47d57b40a54fd5057ddb40f4b5e7af4097753c5c71108efb76b30

Observation 39971cd3-bd54-4f63-83dd-609621c03393 · inbound

What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning cites this paper.

What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T14:34:01.548218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:34:01.548218Z digest=sha256:fd84cd39b5c5568b9ec11eb7c6948a83e69ded81c52ecdc31c5b246a5f949e2b

Observation a88118b1-39ce-445c-996d-747714b725f9 · inbound

Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models cites this paper.

Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:32:31.362130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T07:31:19.400787Z digest=sha256:ace4836fd720563aec670c8113abc221fd78b18c4153b4841502b455a9e449b1

Observation cd14c5d6-6a16-4ce2-98dc-55fa5ef27371 · inbound

iGENE: A Differentiable Flux-Tube Gyrokinetic Code in TensorFlow cites this paper.

iGENE: A Differentiable Flux-Tube Gyrokinetic Code in TensorFlow Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T22:41:15.120119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T02:42:07.814267Z digest=sha256:5bcc2be4054231545edb4c4fc01117d3eee5972ad9ecd2165490d3898788bfad

Observation ac7221ea-c81a-4ec6-8262-af10f6efb76a · inbound

Mosaic: A Benchmark Suite for Differentiable Physics Solvers cites this paper.

Mosaic: A Benchmark Suite for Differentiable Physics Solvers Differentiability in Unrolled Training of Neural Physics Simulators on Transient Dynamics

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:15:58.684511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T02:13:07.305506Z digest=sha256:00238ddb29e709761c0e5b9f9c9571d38b7bce8d5fb5622131b08e37b3f71c84