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Paper Citation Record · LEDGER

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.12089.

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

pith.paper-citation-record.v1
2412.12089 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:03:31.098377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:25:54.539497Z

Reference resolution

0 of 0 outbound references displayed

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

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 e35af45e-1f0b-448d-b13c-8b2845a3e1bb · inbound

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks cites this paper.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T11:03:31.098377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:03:31.098377Z digest=sha256:9acc0b7720d99eb460bfd19b1d2decb250818b5fa6250364b7438619eee83faf

Observation 0c47a33e-6ec9-4403-8350-7707d2faef05 · inbound

First Order Model-Based RL through Decoupled Backpropagation cites this paper.

First Order Model-Based RL through Decoupled Backpropagation Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:19.235569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:19.235569Z digest=sha256:7adcc7165c53b8e428e93a967d53cb58f48ecd508506b0273a5792b594f1cb87

Observation d80812c7-5ba6-474f-8198-3150962b2a74 · inbound

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

The HydroGym Reinforcement Learning Platform for Fluid Dynamics Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-03T15:17:02.750342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:17:02.750342Z digest=sha256:407bc738427cfc63bf8000005bf34cb8b2948d32162b6880f94255d44fef9841

Observation 838e404a-bdbb-41a5-8f71-374de83cc229 · inbound

Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients? cites this paper.

Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients? Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:25:54.541004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:24:26.743531Z digest=sha256:7bc52f08a850c252b98fd8cb0d5c76cedd6c0f217d6ec55939d1b780122b3e19