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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 9 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 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 2026-08-08T11:17:12.843306Z

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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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 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