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Paper Citation Record · LEDGER

Physical Design using Differentiable Learned Simulators

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2202.00728.

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

pith.paper-citation-record.v1
2202.00728 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 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:44:30.195336Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T03:47:15.212724Z

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 505564cd-fa10-4a52-8722-8be56b9cd392 · inbound

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation cites this paper.

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation Physical Design using Differentiable Learned Simulators

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T21:44:30.195336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:44:30.195336Z digest=sha256:569750fd9262d21860a61b767cc09c3af5da5bb91dff2f1eecfa45c08f73edf3

Observation 0944b44d-89b7-4d71-80ea-bf9789f9c820 · inbound

Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows cites this paper.

Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows Physical Design using Differentiable Learned Simulators

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T11:17:12.843306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:17:12.843306Z digest=sha256:44e9908dc8991dc29018af1441fa9c7e2dea8431c6405adc389274b59006f2b1

Observation ad8bb2b3-39e6-4c57-b58b-0e0d7cdb7e4e · inbound

Inverse Design with Dynamic Mode Decomposition cites this paper.

Inverse Design with Dynamic Mode Decomposition Physical Design using Differentiable Learned Simulators

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T21:24:02.345448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:24:02.345448Z digest=sha256:3dd7af32782a5499945adc1ec5675c3571e7fdf837a184a42a8ca1204d22ebbe

Observation ac61dfe8-fe6d-4718-9c77-cc9e503a9724 · inbound

Dynamical Data for More Efficient and Generalizable Learning: A Case Study in Disordered Elastic Networks cites this paper.

Dynamical Data for More Efficient and Generalizable Learning: A Case Study in Disordered Elastic Networks Physical Design using Differentiable Learned Simulators

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:30.484676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:45:30.484676Z digest=sha256:b6f398091f74db06cd2512629127e69a198565673e38a0b229b282c257dd44df

Observation e1e8eca5-61e3-4429-a8c3-866d7c84adc3 · inbound

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators cites this paper.

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators Physical Design using Differentiable Learned Simulators

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:08.926300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:08.926300Z digest=sha256:784f514d379439570339437a3017f8eeb582a33d9faead579d2ed6522dc72d81

Observation 33290450-f225-4e00-8e98-6a852db51b86 · inbound

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills cites this paper.

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills Physical Design using Differentiable Learned Simulators

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:28.555777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:28.555777Z digest=sha256:0f198a757ae86b6a3cdded383cb335d71784724590def59e71a150da5177724b

Observation 5abceab4-d58e-45a1-829d-c79b4f9367be · inbound

VLMgineer: Vision Language Models as Robotic Toolsmiths cites this paper.

VLMgineer: Vision Language Models as Robotic Toolsmiths Physical Design using Differentiable Learned Simulators

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:00.986356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:00.986356Z digest=sha256:f32c3dfe5de852d75bee4b1f365e8282091f039a05db2c2ea2aad425d1167ed0

Observation a2eb2bce-43b4-4fe6-842e-09c55bdcfc32 · inbound

Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements cites this paper.

Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements Physical Design using Differentiable Learned Simulators

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T23:06:28.099774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:06:28.099774Z digest=sha256:c099bff33c9df0ab737b7832939dd3da2b9e202fecc98a6864d9f13d2ef96e1a

Observation 62212b47-5291-4284-95bc-8407124d5e64 · inbound

Photons x Force: Differentiable Radiation Pressure Modeling cites this paper.

Photons x Force: Differentiable Radiation Pressure Modeling Physical Design using Differentiable Learned Simulators

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:47:15.216271Z

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=2026-05-16T03:43:34.230356Z digest=sha256:1058ee352627d3a3fc8337a7084c38eaf9a64b725d8d038d1e2c3196911e2a7e

Observation 7850c32b-2a7d-4c24-91e5-1f4e8b257165 · inbound

Transformer Transformer: A Unified Model for Motion-Conditioned Robot Co-design cites this paper.

Transformer Transformer: A Unified Model for Motion-Conditioned Robot Co-design Physical Design using Differentiable Learned Simulators

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T01:32:10.498379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:32:10.498379Z digest=sha256:d270094a7476c53e2d3a6b89b993d15bbcab6cba3ec2341108e433381fe74993