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Paper Citation Record · LEDGER

Generalized Model Predictive Path Integral Control as Expectation--Maximization

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.00317.

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

pith.paper-citation-record.v1
2606.00317 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:05:59.983228Z

measured 24 of 24 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

24 of 24 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3a4b4fd-29f3-4b91-956c-f5554573fa7a · outbound

This paper cites Aggressive driving with model pre- dictive path integral control.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Aggressive driving with model pre- dictive path integral control

Reference 1

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:5ba142c6449a6d93304afe8af2d4d0ef0096a137c45f5fead7d7a3f1b6115d57

Observation dfb3c320-9607-4351-9bf6-2c7558c44575 · outbound

This paper cites Information theoretic MPC for model- based reinforcement learning.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Information theoretic MPC for model- based reinforcement learning

Reference 2

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:2440a31a7f09e8b04bf2728d5f689b85964701f2db3ad93a8e32b47c5405fd95

Observation 555aad79-6ec8-45fd-b6ab-be24d4de09a3 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Mujoco: A physics engine for model-based control

Reference 3

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:86364faf3c83af2d63334ca501ab0661f9fafbeab5aad9923971e86306417346

Observation 1eab475b-6654-4cf4-83e9-07b5f509cff4 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 4

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verified exact
local_arxiv, observed 2026-07-01T20:26:12.990462Z

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.

source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:8c1516a3cbe8747f81faddea594e66adbe21b7088af24db1ede493bbb46820ff

Observation be0a7c0a-4764-4f41-b2a3-bdd71a97a88a · outbound

This paper cites Real-time whole-body control of legged robots with model-predictive path integral control.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Real-time whole-body control of legged robots with model-predictive path integral control

Reference 5

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:a00d2478a6ff784f7df3721dcab240b39bc929602189473e84b7f7c0b42517a2

Observation 40d7ac87-7221-43ae-a8f5-69b90c86a1a8 · outbound

This paper cites Pa-mppi: Perception-aware model predictive path integral control for quadrotor navigation in unknown environments.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Pa-mppi: Perception-aware model predictive path integral control for quadrotor navigation in unknown environments

Reference 6

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verified exact
arxiv_id, observed 2026-07-01T20:26:12.989294Z

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.

source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:a5010af334feb82a60345624d7327d8bf7f15e37d84c14c2e1c5bb629d964b7c

Observation db05c93c-61a7-4688-8c15-81e9a97e2f7e · outbound

This paper cites Residual-MPPI: Online Policy Customization for Continuous Control.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Residual-MPPI: Online Policy Customization for Continuous Control

Reference 7

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verified exact
arxiv_id, observed 2026-07-01T20:26:12.994704Z

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.

source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:ce63d8e20e06451d248de0c1f33202b47f9f73cc46968d1a42b4edb2a9dafc33

Observation f104b3f6-6548-4a72-ab79-b1004b6d4efa · outbound

This paper cites Model Predictive Control via Probabilistic Inference: A Tutorial and Survey.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Model Predictive Control via Probabilistic Inference: A Tutorial and Survey

Reference 8

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verified exact
local_arxiv, observed 2026-07-01T20:26:12.986544Z

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.

source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:3d4b38b43bd48ffc9e1fb0e17411ebe11c2081345cf22d280c90cc4f63e4ef2c

Observation 1b0f813c-eda1-468a-89a6-75e8a8de5fdc · outbound

This paper cites CoVO-MPC: Theoretical analysis of sampling- based MPC and optimal covariance design.

Generalized Model Predictive Path Integral Control as Expectation--Maximization CoVO-MPC: Theoretical analysis of sampling- based MPC and optimal covariance design

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:39c8cd00eaa730c27269e99f369117ebbf13f09128eb71f9d592943a0c2b8d45

Observation 963c235f-2a25-4480-b436-eda069c706dc · outbound

This paper cites Optimality and suboptimality of MPPI control in stochastic and deterministic settings.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Optimality and suboptimality of MPPI control in stochastic and deterministic settings

Reference 10

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:20abd0b3dda8fcef8577ee93ec4936386db2a6586e3d30d903ecff5d3d58c411

Observation fd23272a-fc57-45dc-8709-928a69b6649e · outbound

This paper cites Op- timal control as a graphical model inference problem.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Op- timal control as a graphical model inference problem

Reference 11

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:3ec5673808babb9e5c24daa7214db8549bfd12a603666daf31d2888bca846a60

Observation d1063ef9-527f-4dd0-8dee-c72b64a62a99 · outbound

This paper cites Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T20:26:12.996302Z

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.

source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:673c5f07515effe1f7f9644b7f6ec312cf2f745506c92e8fb567989a8b805112

Observation c608692c-ce54-4cff-a8c3-9abdafb051bf · outbound

This paper cites Variational infer- ence mpc for bayesian model-based reinforcement learning.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Variational infer- ence mpc for bayesian model-based reinforcement learning

Reference 13

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:e2220e55d5d8a2afdfe5b6228b959a2917b70d2986ce743ba7d31d5f595da7f4

Observation c299c7d9-de8c-423d-9973-42ff5ace597c · outbound

This paper cites The cross-entropy method for opti- mization.

Generalized Model Predictive Path Integral Control as Expectation--Maximization The cross-entropy method for opti- mization

Reference 14

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:a653101cd8b47065f2a8fd6b879c0d9dc627c297729c0fb8c8af32019751056a

Observation 977d1e52-a008-485a-aa88-40d15e64c9cc · outbound

This paper cites Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA- ES).

Generalized Model Predictive Path Integral Control as Expectation--Maximization Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA- ES)

Reference 15

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:b135359204eb23cc375883c58d6709ba76b274dab28751ee479ae91d00f93ba3

Observation a030a8a9-13e9-4711-b209-d978a26a5f38 · outbound

This paper cites Variational Inference MPC using Tsallis Divergence.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Variational Inference MPC using Tsallis Divergence

Reference 16

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arxiv_id, observed 2026-07-01T20:26:12.993362Z

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

source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:a86290b2c458783420b357f2dc8824826aed5e134b5465dc7ae565f57b9b4d73

Observation 24537135-a8b9-4f8c-bedf-13b36dc28840 · outbound

This paper cites Maximum likelihood from incomplete data via the EM algorithm.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Maximum likelihood from incomplete data via the EM algorithm

Reference 17

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:b90e3ad51293b53667f65cd1987866d1cd92e28a5250d636bb174db55f627874

Observation b888b302-83d8-493a-a7ee-edb33fc24f01 · outbound

This paper cites John Wiley & Sons, 2008.

Generalized Model Predictive Path Integral Control as Expectation--Maximization John Wiley & Sons, 2008

Reference 18

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:bf1d2cd38e2a93ac7191372a7e07e9b49c9d452ef7ed9fe40280be65d54c07cf

Observation 44f5c20c-cf9b-4453-8ec0-1e55f8dc879d · outbound

This paper cites MIT press, 2009.

Generalized Model Predictive Path Integral Control as Expectation--Maximization MIT press, 2009

Reference 19

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:8bc6348f7728466b975dff7ae06608a54fc504440d8bb827f16d66d6e23649a5

Observation 30b7b3e0-0f47-49d0-b36e-9400dfef90db · outbound

This paper cites Using expectation- maximization for reinforcement learning.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Using expectation- maximization for reinforcement learning

Reference 20

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:b90364a53e8f53cdf3048845d94e7ce1b8b37c776eff51a01a52cacc210bec14

Observation cf8a2ea7-6672-4233-b8e5-2b10ed0fa151 · outbound

This paper cites Expectation-Maximization methods for solving (PO) MDPs and optimal control problems.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Expectation-Maximization methods for solving (PO) MDPs and optimal control problems

Reference 21

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:45cb9cc977d74a64c608d3e2380f487bd31a1f4565d5ccf279abf716358b975a

Observation ea479223-d94d-415a-84f2-a8557bf04216 · outbound

This paper cites Stochastic optimal con- trol for multivariable dynamical systems using expectation maximization.

Generalized Model Predictive Path Integral Control as Expectation--Maximization Stochastic optimal con- trol for multivariable dynamical systems using expectation maximization

Reference 22

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:9bbd91a2f7c5b7d3058862d95a7baa589fdac9809406fcda90be19b7e01329d3

Observation 76b79fce-aeb8-44b4-93c3-0e55e3761956 · outbound

This paper cites On the convergence properties of the EM algorithm.

Generalized Model Predictive Path Integral Control as Expectation--Maximization On the convergence properties of the EM algorithm

Reference 23

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:17806556186b67f4b99b1b0f78c7fcf1b2f9de09eca4fe0e866eedfb11b48c3c

Observation 16f551ba-a85b-4ea3-b026-3e4b10bc7419 · outbound

This paper cites SIAM, 2000.

Generalized Model Predictive Path Integral Control as Expectation--Maximization SIAM, 2000

Reference 24

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source=pdf_text observed=2026-06-28T21:05:59.983228Z digest=sha256:894584bfce9537480f8de1a01296011f7d09fea95f9a041cef3ec15dc45bbb3d

Pith citing papers

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