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Paper Citation Record · LEDGER

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2007.00016.

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

pith.paper-citation-record.v1
2007.00016 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:16:45.734773Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

117
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e14cc936-fbd0-4990-b080-bebe75aaa9d2 · inbound

Physics-based machine learning for mantle convection simulations cites this paper.

Physics-based machine learning for mantle convection simulations Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:20.451167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:13:20.451167Z digest=sha256:58b245a29261227145ad0becf72ab7b5c9cecadc4673bfd175e88c8bfcd1a069

Observation 845a88b9-2b03-4b47-b3f7-326c7d4b702d · inbound

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields cites this paper.

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-01T10:13:40.994302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:13:40.994302Z digest=sha256:a3aa61e8feae0d51a608d8ac103203b70e63c1d8cbc1c0f437c95b9bd504fca8

Observation 843ea354-6b1d-4dd3-9ccf-f7164fb88e97 · inbound

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study cites this paper.

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-30T16:23:26.601831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T16:23:26.601831Z digest=sha256:ed60c322dde1da6dd2ccf487287ea255531e5b01b1b8d3b5fb8817be53936c69

Observation 75b65218-d06e-4449-8999-a2287e85f485 · inbound

End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer cites this paper.

End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

Reference 195

Resolution
metadata mismatch
local_arxiv, observed 2026-08-03T00:43:54.498758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-03T00:39:20.961986Z digest=sha256:a6d8a2e1ceb9aab6384c3413aaa023043c20fd47be25cf2a66d8c1945dd9b2b0

Observation 74004423-0e50-4ef3-98b3-703880d8dae4 · inbound

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning cites this paper.

TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T00:16:45.734773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:16:45.734773Z digest=sha256:20fdaad9ca947079f0374c4f3c47abad58b993865983dc3f317e39e410077740