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Paper Citation Record · LEDGER

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.10777.

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

pith.paper-citation-record.v1
2608.10777 v1

Coverage vector

measured 47 of 47 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:30.249894Z

measured 47 of 47 standing notices

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

measured 0 of 0 inbound itemization

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Reference resolution

47 of 47 outbound references displayed

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Outbound references

Observation 39e2c31b-85dc-4b2f-8404-c1cca116e9ce · outbound

This paper cites Dynamic programming.science, 153(3731):34–37, 1966.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Dynamic programming.science, 153(3731):34–37, 1966

Reference 1

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Observation 0a40b5de-6794-43ad-ba48-a14e43894724 · outbound

This paper cites Springer Science & Business Media, 2012.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Springer Science & Business Media, 2012

Reference 2

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Observation 1e9ff218-032c-465a-ad82-4a7913b19f49 · outbound

This paper cites Stochastic optimal control matching.Advances in Neural Information Processing Systems, 37:112459–112504, 2024.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Stochastic optimal control matching.Advances in Neural Information Processing Systems, 37:112459–112504, 2024

Reference 3

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Observation 3ff9072d-ea9e-4ce3-9bf9-7ccfc33e3bea · outbound

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Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Unresolved cited work

Reference 4

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Observation 56b88d6a-5599-4504-aba4-3eacffb866ac · outbound

This paper cites Stochastic control liaisons: Richard sinkhorn meets gaspard monge on a schrodinger bridge.Siam Review, 63(2):249–313, 2021.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Stochastic control liaisons: Richard sinkhorn meets gaspard monge on a schrodinger bridge.Siam Review, 63(2):249–313, 2021

Reference 5

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Observation e2d8f344-cfd5-4832-a56d-92037658253f · outbound

This paper cites Adjoint schr\" odinger bridge sampler.arXiv preprint arXiv:2506.22565, 2025.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Adjoint schr\" odinger bridge sampler.arXiv preprint arXiv:2506.22565, 2025

Reference 6

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Observation b7fba00f-cafb-478b-9c98-eeb818810bd6 · outbound

This paper cites Trust region constrained measure transport in path space for stochastic optimal control and inference.arXiv preprint arXiv:2508.12511, 2025.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Trust region constrained measure transport in path space for stochastic optimal control and inference.arXiv preprint arXiv:2508.12511, 2025

Reference 7

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Observation a111f188-8906-4606-82e8-88001b521c74 · outbound

This paper cites A Taxonomy of Loss Functions for Stochastic Optimal Control.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control A Taxonomy of Loss Functions for Stochastic Optimal Control

Reference 8

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Observation 356ec45e-e5f1-4a29-9271-d24ce19ab4e0 · outbound

This paper cites Linearly-solvable markov decision problems.Advances in neural information processing systems, 19, 2006.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Linearly-solvable markov decision problems.Advances in neural information processing systems, 19, 2006

Reference 9

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Observation 20b78005-7254-4ded-8eb3-6629e75025f5 · outbound

This paper cites An introduction to stochastic control theory, path integrals and reinforcement learning.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control An introduction to stochastic control theory, path integrals and reinforcement learning

Reference 10

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Observation 461060c7-ff5f-4b22-96cd-ab8636c7fb55 · outbound

This paper cites Linear theory for control of nonlinear stochastic systems.Physical review letters, 95(20):200201, 2005.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Linear theory for control of nonlinear stochastic systems.Physical review letters, 95(20):200201, 2005

Reference 11

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Observation b8f6ca5b-e896-45a5-ae1a-67cb5e9e97d4 · outbound

This paper cites Path integral control and state-dependent feedback.Physical Review E, 91(3):032104, 2015.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Path integral control and state-dependent feedback.Physical Review E, 91(3):032104, 2015

Reference 12

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Observation 5b207667-728d-4baa-aff6-eeb499e38052 · outbound

This paper cites A Deeper Look at Experience Replay.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control A Deeper Look at Experience Replay

Reference 13

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Observation 73718e5d-1e70-40ef-96ec-2834c22bf204 · outbound

This paper cites Springer Science & Business Media, 2013.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Springer Science & Business Media, 2013

Reference 14

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Observation e11b4698-3ce3-43d6-860b-e56f2fa91282 · outbound

This paper cites Recent Developments in Machine Learning Methods for Stochastic Control and Games.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Recent Developments in Machine Learning Methods for Stochastic Control and Games

Reference 15

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Observation 6786173d-b009-4b37-b1ff-c0c8714b647d · outbound

This paper cites q-learning in continuous time.Journal of Machine Learning Research, 24(161):1–61, 2023.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control q-learning in continuous time.Journal of Machine Learning Research, 24(161):1–61, 2023

Reference 16

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Observation cdf7ed48-db0f-4d4e-bbf5-97996412662a · outbound

This paper cites American mathematical society, 2022.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control American mathematical society, 2022

Reference 17

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Observation da4d7803-f9c1-4c1c-a3a2-87688ba0947d · outbound

This paper cites Stochastic optimal control for collective variable free sampling of molecular transition paths.Advances in Neural Information Processing Systems, 36:79540–79556, 2023.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Stochastic optimal control for collective variable free sampling of molecular transition paths.Advances in Neural Information Processing Systems, 36:79540–79556, 2023

Reference 18

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Observation 9fdae227-204f-4eea-9db3-0cba9b0331df · outbound

This paper cites an unresolved cited work.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Unresolved cited work

Reference 19

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Observation 801ab828-e2f5-4a76-be94-43d65017bdb0 · outbound

This paper cites Learning boltzmann generators via constrained mass transport.arXiv preprint arXiv:2510.18460, 2025.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Learning boltzmann generators via constrained mass transport.arXiv preprint arXiv:2510.18460, 2025

Reference 20

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Observation 85829173-c3fc-4557-9329-efb588cfaacd · outbound

This paper cites Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, and Ricky T.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, and Ricky T

Reference 21

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

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Observation 7d5c16e9-504d-42dd-9d6b-03dc71721d7c · outbound

This paper cites A fast algorithm for the two dimen- sional hjb equation of stochastic control.ESAIM: M2AN, 38(4):723–735, 2004.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control A fast algorithm for the two dimen- sional hjb equation of stochastic control.ESAIM: M2AN, 38(4):723–735, 2004

Reference 22

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

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Observation 1406eb8e-a63b-4a38-9796-b8676443c79e · outbound

This paper cites On the convergence of finite element methods for hamilton–jacobi–bellman equations.SIAM Journal on Numerical Analysis, 51(1):137–162, 2013.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control On the convergence of finite element methods for hamilton–jacobi–bellman equations.SIAM Journal on Numerical Analysis, 51(1):137–162, 2013

Reference 23

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Observation a24b1476-a573-4ace-8fc5-deeebacf75b9 · outbound

This paper cites Model predictive path integral control: From theory to parallel computation.Journal of Guidance, Control, and Dynamics, 40(2):344–357, 2017.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Model predictive path integral control: From theory to parallel computation.Journal of Guidance, Control, and Dynamics, 40(2):344–357, 2017

Reference 24

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Observation c0fa66f2-e793-4ae4-9827-c71da2ee53cb · outbound

This paper cites Adaptive importance sampling for control and inference.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Adaptive importance sampling for control and inference

Reference 25

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Observation d65fbb5b-d8bd-48f8-b0e7-d666ff6b1306 · outbound

This paper cites Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives

Reference 26

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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=2026-08-12T17:39:30.137550Z digest=sha256:5c2b29aa1b2cd05aae323f2b6db74b8acff895a75eb01c2de1b7c223b11645be

Observation 703b163b-d655-4793-9029-19213683e903 · outbound

This paper cites Reinforcement learning in continuous time and space: A stochastic control approach.Journal of Machine Learning Research, 21(198):1–34, 2020.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Reinforcement learning in continuous time and space: A stochastic control approach.Journal of Machine Learning Research, 21(198):1–34, 2020

Reference 27

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source=pdf_text observed=2026-08-12T17:39:30.142611Z digest=sha256:ae3284ac77347759d8f323d529bd3335d4e6e5b148b202b2436765657863026e

Observation e6087772-460c-4a75-acb1-e419c2799b1b · outbound

This paper cites Policy evaluation and temporal-difference learning in continuous time and space: A martingale approach.Journal of Machine Learning Research, 23(154):1–55, 2022.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Policy evaluation and temporal-difference learning in continuous time and space: A martingale approach.Journal of Machine Learning Research, 23(154):1–55, 2022

Reference 28

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source=pdf_text observed=2026-08-12T17:39:30.147509Z digest=sha256:038f3001184c2ab6b8602aae4843ff5592550643403661141c364ff8bc664502

Observation 28a6106b-68ca-44df-8c8a-a2d34ee1197e · outbound

This paper cites A temporal difference method for stochastic continuous dynamics.arXiv preprint arXiv:2505.15544, 2025.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control A temporal difference method for stochastic continuous dynamics.arXiv preprint arXiv:2505.15544, 2025

Reference 29

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source=pdf_text observed=2026-08-12T17:39:30.153652Z digest=sha256:59bc2c53dd1da63d32180f5679121380d5f31efa1179a5f7b634d07b0f6adc0a

Observation 766ea63c-4640-4258-a0b3-8b36d3529743 · outbound

This paper cites Continuous q-score matching: Diffusion guided reinforce- ment learning for continuous-time control.arXiv preprint arXiv:2510.17122, 2025.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Continuous q-score matching: Diffusion guided reinforce- ment learning for continuous-time control.arXiv preprint arXiv:2510.17122, 2025

Reference 30

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

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Observation b9cb1369-6761-4d9f-977e-58e209dc1c5e · outbound

This paper cites Risk-sensitive reinforcement learning.Machine learning, 49(2):267– 290, 2002.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Risk-sensitive reinforcement learning.Machine learning, 49(2):267– 290, 2002

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

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Observation bb8a7810-795d-4003-91dd-4cb26c1d314a · outbound

This paper cites Exponential td learning: A risk-sensitive actor-critic reinforcement learning algorithm.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Exponential td learning: A risk-sensitive actor-critic reinforcement learning algorithm

Reference 32

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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=2026-08-12T17:39:30.169060Z digest=sha256:dbaf7af96f19ce574c5f84ce08924e648ce0c840d126e2d98cac174b56d18828

Observation de764eaf-8041-4a1d-b33f-0bdd2425e82a · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Gaussian Error Linear Units (GELUs)

Reference 33

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Observation 1a922644-1906-4ea9-944f-1c7e99c1cb49 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Adam: A Method for Stochastic Optimization

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:39:30.179428Z digest=sha256:bf6e87196898269e86915060663731a92b4473281fdcac43dc56cca9db9a84a7

Observation f0885e7d-996b-4376-a627-3840fb44a369 · outbound

This paper cites Nu- merical approximation of a system of hamilton–jacobi–bellman equations arising in innovation dynamics.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Nu- merical approximation of a system of hamilton–jacobi–bellman equations arising in innovation dynamics

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:31.024240Z

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=2026-08-12T17:39:30.186024Z digest=sha256:f44147175a671ee7665f767cbe4f938b91d92882d83e2a5c7cc5931f58d2230f

Observation bf43cff3-ce15-41b1-8b49-243089236e7a · outbound

This paper cites Semi-lagrangian schemes for linear and fully non-linear diffusion equations.Mathematics of Computation, pages 1433–1462, 2013.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Semi-lagrangian schemes for linear and fully non-linear diffusion equations.Mathematics of Computation, pages 1433–1462, 2013

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:31.005825Z

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=2026-08-12T17:39:30.191008Z digest=sha256:583adac4756d9be0773a968a911f6b126bfe3c161886e0b0d3c79924a943418c

Observation eb9bcec5-ae83-4e87-80cf-ac4535e1f495 · outbound

This paper cites A semi-lagrangian scheme for hamilton–jacobi– bellman equations on networks.SIAM Journal on Numerical Analysis, 58(6):3165–3196, 2020.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control A semi-lagrangian scheme for hamilton–jacobi– bellman equations on networks.SIAM Journal on Numerical Analysis, 58(6):3165–3196, 2020

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:30.987700Z

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=2026-08-12T17:39:30.195879Z digest=sha256:4f1f67ad3e02e3a7e3a553c1a59ba822b16e0ab05e4d748f117d7a260562cc99

Observation 739ef0d8-f23f-4d9f-9878-6d96f62585ba · outbound

This paper cites A generalized path integral control approach to reinforcement learning.The Journal of Machine Learning Research, 11:3137–3181, 2010.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control A generalized path integral control approach to reinforcement learning.The Journal of Machine Learning Research, 11:3137–3181, 2010

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:30.969964Z

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=2026-08-12T17:39:30.202167Z digest=sha256:2ad161854680db549d972e6be7a110d8256507ee6a938ea6d9a09d128f781084

Observation 937a7033-1bf6-4227-805c-02ee705b060f · outbound

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

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Aggressive driving with model predictive path integral control

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T17:39:30.207365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:39:30.207365Z digest=sha256:7e94d087c7f1c3674efa3c2a9172a0169bbbd5a40f50ffda9a1d027da8011b5f

Observation d5a96f5a-322d-4051-9ea1-928c707814d1 · outbound

This paper cites Policy search for path integral control.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Policy search for path integral control

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:30.942679Z

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=2026-08-12T17:39:30.213024Z digest=sha256:10340b8cdefeabdb248775e5b289ce1c16f70a9805ed6163b7ffd44eff004c72

Observation 212aefdb-5e4f-453b-875f-59dd1edb53f1 · outbound

This paper cites Applications of the cross-entropy method to importance sampling and optimal control of diffusions.SIAM Journal on Scientific Computing, 36(6):A2654–A2672, 2014.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Applications of the cross-entropy method to importance sampling and optimal control of diffusions.SIAM Journal on Scientific Computing, 36(6):A2654–A2672, 2014

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:30.926091Z

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=2026-08-12T17:39:30.218129Z digest=sha256:ee9164ae9842c14f55deabb9f4d54464ac06b8f9f32aad6d568d2e10788c82f8

Observation e39b2d7c-13ab-4423-87a7-6de101af971d · outbound

This paper cites Deep learning for continuous-time stochastic control with jumps.arXiv preprint arXiv:2505.15602, 2025.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Deep learning for continuous-time stochastic control with jumps.arXiv preprint arXiv:2505.15602, 2025

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T17:39:30.223918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:39:30.223918Z digest=sha256:90918bf9fb6418b06f0d152feeb044235d3dbc388a8d6ddb662c49d3f5ff18c9

Observation 2dc0260e-ba96-46ff-af6e-d9c5e254d9e8 · outbound

This paper cites exp −V(X s, s)− Z s t f(X r, r)dr Ft # =E Pu.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control exp −V(X s, s)− Z s t f(X r, r)dr Ft # =E Pu

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:30.906789Z

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=2026-08-12T17:39:30.228950Z digest=sha256:f6ffcabe218cb636d79c6ed82ac725825f7b8126959007ab22da6945e514a59b

Observation 9a797e21-cb1a-4158-871d-d12e4bbbd95c · outbound

This paper cites exp −2V− Z r t ∥u−u ∗∥2dτ−2 Z r t (u−u ∗)·dB τ Ft # =E Pu.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control exp −2V− Z r t ∥u−u ∗∥2dτ−2 Z r t (u−u ∗)·dB τ Ft # =E Pu

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:39:30.889773Z

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=2026-08-12T17:39:30.234398Z digest=sha256:28ba4c386ab91a6cfb7d18100dd862135719009865caf1c34af4f75212fd073d

Observation d2b91206-d6e2-4c38-a772-1eb2c633d0d3 · outbound

This paper cites an unresolved cited work.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:39:30.871178Z

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=2026-08-12T17:39:30.240131Z digest=sha256:b896329c74e9763eb3a382c187a93a73992e6610253f6a1d480d2fe32cbd4ad2

Observation cd200cee-854d-4a1d-aa4d-3b95320a82c7 · outbound

This paper cites an unresolved cited work.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:39:30.853611Z

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=2026-08-12T17:39:30.245119Z digest=sha256:cfd01db24b63a2e51fdeeb39e9bec315e06f3468762e39225be6a23374979c05

Observation 5f136f55-cc5b-43be-900d-2c52a5935455 · outbound

This paper cites an unresolved cited work.

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:39:30.833088Z

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=2026-08-12T17:39:30.249894Z digest=sha256:36328c48e7fc04dfeee175e22265a14ef58c48eaf6908460f6c6adcb51020735

Pith citing papers

No inbound Pith citation observations are available.