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Paper Citation Record · LEDGER

Learning to Control PDEs with Differentiable Physics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2001.07457.

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

pith.paper-citation-record.v1
2001.07457 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:30:27.044492Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

44
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 186cb9f4-6a5b-4f6e-ab8b-11658909ca7f · inbound

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning cites this paper.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Learning to Control PDEs with Differentiable Physics

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:27.044492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.044492Z digest=sha256:3d8ddd5ae48b2bf843c9e11786d3cdb23e12232348e16cee8d32ed3dcddfa129

Observation 75663103-d56a-4bad-bca4-aa2f388e4937 · inbound

The HydroGym Reinforcement Learning Platform for Fluid Dynamics cites this paper.

The HydroGym Reinforcement Learning Platform for Fluid Dynamics Learning to Control PDEs with Differentiable Physics

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T15:17:00.757816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:17:00.757816Z digest=sha256:eb9d71a64fadc95693880b1991738b857662ead11716b00c00ca3626a0e3955b

Observation b71c43f4-33c1-4572-83ff-a3fef94aa9e5 · inbound

Fast and Reliable Gradients for Deformables Across Frictional Contact Regimes cites this paper.

Fast and Reliable Gradients for Deformables Across Frictional Contact Regimes Learning to Control PDEs with Differentiable Physics

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:34:08.949291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T11:32:58.049708Z digest=sha256:14f9d8be3d3e39fe45d2cebf432d65d42e4625aa1bfed222dcbf2b71e90d3114

Observation f1edbf7e-1e01-4cab-a078-29d03dcabf6a · inbound

Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing cites this paper.

Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing Learning to Control PDEs with Differentiable Physics

Reference 155

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:15:34.322421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:13:06.684788Z digest=sha256:9edb5bc1a4f627be479536ae30791347badf19fdcf43e01c208a3d633e59318d

Observation 20ebd9a6-a12f-4175-b5fd-a99a1f4b3d99 · inbound

Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing cites this paper.

Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing Learning to Control PDEs with Differentiable Physics

Reference 156

Resolution
unresolved
no resolver link, observed 2026-07-12T23:03:06.929046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T23:03:06.929046Z digest=sha256:0cbb67102c853d57ee76ca2f3f349cb618da96559d3352ee32c20256ccd8afa2

Observation 18b08d7f-be20-4f8a-aaf8-35043904b911 · inbound

Discovery of unobservable parameters via physical embedding cites this paper.

Discovery of unobservable parameters via physical embedding Learning to Control PDEs with Differentiable Physics

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.431197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:59:29.496210Z digest=sha256:95d91007cf9a59b6ed81fed18af1d89a8958ca89c65507e3bbf7653c7bc16845

Observation f2b8038f-8519-45cb-8d7e-1cfabc48414e · inbound

Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning cites this paper.

Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning Learning to Control PDEs with Differentiable Physics

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:35:50.562410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:30:56.136600Z digest=sha256:81179fa8d43825279849e669e07b1621f17531a088d925b88a3af81842b2322d

Observation 329f8952-e646-4b27-9505-7b7c25f2a533 · inbound

Problem-Specific Basis Quantum State Readout via Proper Orthogonal Decomposition cites this paper.

Problem-Specific Basis Quantum State Readout via Proper Orthogonal Decomposition Learning to Control PDEs with Differentiable Physics

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:26.472561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T12:11:49.534153Z digest=sha256:f023626d30495258f2176f50cfa08f4e000ef83e7304eafa66f7a5375b953722

Observation bff51397-9fd6-4c2b-b526-63dc6a26459a · inbound

Learning Physics-Guided Residual Dynamics for Deformable Object Simulation cites this paper.

Learning Physics-Guided Residual Dynamics for Deformable Object Simulation Learning to Control PDEs with Differentiable Physics

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T05:13:36.376081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:13:36.376081Z digest=sha256:27dd3ace5f5b48b82d6cb57a34aeb04e6b60045f35aa22d88c913a306f0d5f4d

Observation 9a916ce4-3403-433a-84cf-ac19e4fe59bc · inbound

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations cites this paper.

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Learning to Control PDEs with Differentiable Physics

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T12:24:21.040056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:24:21.040056Z digest=sha256:78c1372a75c0fdb48a6e964d2dc5e43ec3e06cb45201f4d48aa0e83264547593