Paper Citation Record · LEDGER

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.05507.

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

pith.paper-citation-record.v1
2505.05507 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:38:56.836997Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d263b61d-e905-4477-b1e4-f2f32189abb7 · outbound

This paper cites Realaigym: Education and research platform for studying athletic intelligence,.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Realaigym: Education and research platform for studying athletic intelligence,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:38:57.109576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2b4776c-a931-4f9a-81d4-bf6e9fd035a8 · outbound

This paper cites Open source dual-purpose acrobot and pendubot platform: Bench- marking control algorithms for underactuated robotics,.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Open source dual-purpose acrobot and pendubot platform: Bench- marking control algorithms for underactuated robotics,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:38:57.088032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation feb34cdf-1416-4178-ac4c-88d92fcdc01c · outbound

This paper cites Reinforcement learning for athletic intelligence: lessons from the 1st.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Reinforcement learning for athletic intelligence: lessons from the 1st

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.774376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a40f615-368e-49c0-8ed8-defaf258e359 · outbound

This paper cites Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.780716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2325b0-39c1-4a44-82b8-e4d5f0254737 · outbound

This paper cites Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:38:56.983978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 892a5d21-5ab5-44d3-bd95-b00ea4df2af8 · outbound

This paper cites Learning control of underactuated double pendulum with Model-Based Reinforcement Learning.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Learning control of underactuated double pendulum with Model-Based Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.796430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88023491-8bbe-409b-814d-a57fb45f4b7b · outbound

This paper cites AI Olympics challenge with Evolutionary Soft Actor Critic.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems AI Olympics challenge with Evolutionary Soft Actor Critic

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.802808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1042075-24f1-4969-a400-c3e1c8afb4b8 · outbound

This paper cites Sampling-Based Motion Planning: A Comparative Review.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Sampling-Based Motion Planning: A Comparative Review

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.810772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582c0647-6f38-46f4-941e-978c3740df49 · outbound

This paper cites Aggressive driving with model predictive path integral control,.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Aggressive driving with model predictive path integral control,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.819140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 546ba1c0-35c1-45ef-bd9b-5b1c723b27ec · outbound

This paper cites Model Predictive Path Integral Control: From Theory to Parallel Computation,.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Model Predictive Path Integral Control: From Theory to Parallel Computation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.825961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359413ab-326c-4530-bea8-3151f1b5229d · outbound

This paper cites Variational integrators,.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems Variational integrators,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:38:57.045175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e13fcc38-aaee-4125-aa4d-33d15474d8af · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

VIMPPI: Enhancing Model Predictive Path Integral Control with Variational Integration for Underactuated Systems JAX: composable transformations of Python+NumPy programs,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:56.836997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.