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Paper Citation Record · LEDGER

Physics-based Deep Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2109.05237.

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

pith.paper-citation-record.v1
2109.05237 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:14.447099Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:17:33.897219Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 6bf53712-82da-4c25-ad48-4f02fe907256 · inbound

Governing Equation Discovery from Data Based on Differential Invariants cites this paper.

Governing Equation Discovery from Data Based on Differential Invariants Physics-based Deep Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:14.447099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:14.447099Z digest=sha256:87f939d688bd16c1f37d8f44563b2ed116eda37724e4f9322b4cd004cc95427c

Observation 19da7bb8-30be-4a4a-ace6-2183152e67db · inbound

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations cites this paper.

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations Physics-based Deep Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T11:03:18.434025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:03:18.434025Z digest=sha256:559d73cbc37196c0727ce085144b4b61149075da4da85257bd64c1a6745b831e

Observation 734f2627-1fbc-4af0-8990-51950e7e2799 · inbound

Solver-Integrated Adversarial Attacking and Training of Neural Operators cites this paper.

Solver-Integrated Adversarial Attacking and Training of Neural Operators Physics-based Deep Learning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-04T08:50:04.098403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:50:04.098403Z digest=sha256:556f5c8f53d48684040ea20ef4103ca18666f7478ee9f2906b1ffc818f51ff4e

Observation 1f094cd4-2556-4eb7-8cc8-3bc452d9c6c0 · inbound

General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations cites this paper.

General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations Physics-based Deep Learning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:13:20.907565Z

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=pdf_text observed=2026-05-13T22:08:52.636576Z digest=sha256:492d5f2b63894e008105da3365151e4951f67345d092b60db3de90ee624cec17

Observation b8f608cc-e0b9-4e53-9c91-bef55b05d8f7 · inbound

Learned Lagrangian Models of PDEs via Euler-Lagrange Residual Minimization cites this paper.

Learned Lagrangian Models of PDEs via Euler-Lagrange Residual Minimization Physics-based Deep Learning

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:31:00.065069Z

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=2026-05-11T01:16:14.410483Z digest=sha256:ac4d3582223a5058f99c58259f86caaf2538c232ce43e1e28249b88eb7f64177

Observation 3f2d08e4-b3de-4257-94aa-feeacbe77cbd · inbound

SWIM: Single-Instance Whole-Body Imitation for swiMming cites this paper.

SWIM: Single-Instance Whole-Body Imitation for swiMming Physics-based Deep Learning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:22:37.326223Z

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=pdf_text observed=2026-06-28T20:13:53.426938Z digest=sha256:aa8965d69c780acd9080e2b937cb780f1e489b6a0084a82cdab69bac1c1d3c13

Observation 0b839120-4c1c-4347-a3ca-ff9feca4c64b · inbound

Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming cites this paper.

Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming Physics-based Deep Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:56:56.932685Z

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=pdf_text observed=2026-06-28T01:45:05.606735Z digest=sha256:b99a9669f8b55d8ae6ecfcb0b467196d35b59cbb3caf04b3c0914fe824478e74

Observation 80836877-c7a1-4601-b007-e0a5d0db7698 · inbound

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier cites this paper.

From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier Physics-based Deep Learning

Reference 223

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:17:33.898551Z

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=pdf_text observed=2026-07-10T18:16:31.176239Z digest=sha256:71ffd5bf441a59e01990f320b61e70bceb20f96b0fbf4c63b2664ca8a477f6a5

Observation 60c59461-25d6-4643-8214-0ff9fe964292 · inbound

Differentiable Cardiac Electrophysiology Simulations for Dynamical State and Parameter Estimation cites this paper.

Differentiable Cardiac Electrophysiology Simulations for Dynamical State and Parameter Estimation Physics-based Deep Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T23:16:16.480590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:16:16.480590Z digest=sha256:745b7cb13ffd69e73f7f386f7a2ad3e940e638936fe7beff60e1d517e53e1650