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Paper Citation Record · LEDGER

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.03407.

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pith.paper-citation-record.v1
2607.03407 v1

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measured 35 of 35 reference resolution

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Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation 14908537-5ca8-457e-867c-ed449729ebc9 · outbound

This paper cites In: OCEANS 2023-MTS/IEEE US Gulf Coast, pp.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach In: OCEANS 2023-MTS/IEEE US Gulf Coast, pp

Reference 1

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This paper cites Journal of Computational Physics196(1), 367–391 (2004) https://doi.org/10.1016/j.jcp.2003.11.007.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Journal of Computational Physics196(1), 367–391 (2004) https://doi.org/10.1016/j.jcp.2003.11.007

Reference 2

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This paper cites Journal of Computational Physics217(1), 176–199 (2006) https: //doi.org/10.1016/j.jcp.2006.02.010.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Journal of Computational Physics217(1), 176–199 (2006) https: //doi.org/10.1016/j.jcp.2006.02.010

Reference 3

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Observation 3b425727-e087-442a-9eb7-f5bb43ec248b · outbound

This paper cites Princeton University Press, Princeton, NJ, USA (1957).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Princeton University Press, Princeton, NJ, USA (1957)

Reference 4

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This paper cites Stochastic Modelling and Applied Probability, vol.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Stochastic Modelling and Applied Probability, vol

Reference 5

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This paper cites Cambridge University Press, Cambridge, UK (1999).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Cambridge University Press, Cambridge, UK (1999)

Reference 6

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This paper cites IEEE Trans- actions on Automatic Control40(9), 1528–1538 (1995) https://doi.org/10.1109/ 9.412626.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach IEEE Trans- actions on Automatic Control40(9), 1528–1538 (1995) https://doi.org/10.1109/ 9.412626

Reference 7

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Observation 1003f682-66af-46f2-b8e8-fdb9f604003b · outbound

This paper cites John Wiley & Sons, New York (1965).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach John Wiley & Sons, New York (1965)

Reference 8

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This paper cites Springer, Boston,MA (1995).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Springer, Boston,MA (1995)

Reference 9

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This paper cites Ocean Dynamics53(4), 343–367 (2003).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Ocean Dynamics53(4), 343–367 (2003)

Reference 10

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This paper cites IEEE Transactions on Automatic Control51(5), 742–753 (2006).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach IEEE Transactions on Automatic Control51(5), 742–753 (2006)

Reference 11

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This paper cites IEEE Control Systems Magazine36(6), 30–44 (2016) https: //doi.org/10.1109/MCS.2016.2602087.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach IEEE Control Systems Magazine36(6), 30–44 (2016) https: //doi.org/10.1109/MCS.2016.2602087

Reference 12

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This paper cites 34 2005, pp.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach 34 2005, pp

Reference 13

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This paper cites Ocean Dynamics64, 1373–1397 (2014) https://doi.org/10.1007/s10236-014-0757-y.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Ocean Dynamics64, 1373–1397 (2014) https://doi.org/10.1007/s10236-014-0757-y

Reference 14

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This paper cites IEEE Transactions on Robotics23(2), 331– 341 (2007).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach IEEE Transactions on Robotics23(2), 331– 341 (2007)

Reference 15

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This paper cites In: 2020 59th IEEE Conference on Decision and Control (CDC), pp.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach In: 2020 59th IEEE Conference on Decision and Control (CDC), pp

Reference 16

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This paper cites Path Planning under Time-Dependent Uncertainty.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Path Planning under Time-Dependent Uncertainty

Reference 17

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This paper cites Scattered light noise characterisation at the Virgo interferometer with tvf-EMD adaptive algorithm.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Scattered light noise characterisation at the Virgo interferometer with tvf-EMD adaptive algorithm

Reference 18

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This paper cites IEEE Transactions on Automatic Control50(7), 947–957 (2005).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach IEEE Transactions on Automatic Control50(7), 947–957 (2005)

Reference 19

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This paper cites Computer Methods in Applied Mechanics and Engineering333, 218–237 (2018).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Computer Methods in Applied Mechanics and Engineering333, 218–237 (2018)

Reference 20

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This paper cites Computer Methods in Applied Mechanics and Engineer- ing353, 391–415 (2019) https://doi.org/10.1016/j.cma.2019.04.033.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Computer Methods in Applied Mechanics and Engineer- ing353, 391–415 (2019) https://doi.org/10.1016/j.cma.2019.04.033

Reference 21

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This paper cites SIAM Journal on Numerical Analysis41(1), 325–363 (2003) https://doi.org/10.1137/S0036142901392742 https://doi.org/10.1137/S0036142901392742.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach SIAM Journal on Numerical Analysis41(1), 325–363 (2003) https://doi.org/10.1137/S0036142901392742 https://doi.org/10.1137/S0036142901392742

Reference 22

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Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Unresolved cited work

Reference 23

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This paper cites Transactions of the American Mathematical Society277(1), 1–42 (1983).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Transactions of the American Mathematical Society277(1), 1–42 (1983)

Reference 24

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This paper cites Nonlinear Analysis: Theory, Methods & Applications 10(4), 353–370 (1986) https://doi.org/10.1016/0362-546X(86)90133-1.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Nonlinear Analysis: Theory, Methods & Applications 10(4), 353–370 (1986) https://doi.org/10.1016/0362-546X(86)90133-1

Reference 25

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This paper cites American Mathematical Society, Providence, R.I.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach American Mathematical Society, Providence, R.I

Reference 26

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This paper cites Journal of Computational Physics234, 452–471 (2013) https://doi.org/10.1016/j.jcp.2012.10.008.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Journal of Computational Physics234, 452–471 (2013) https://doi.org/10.1016/j.jcp.2012.10.008

Reference 27

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This paper cites SIAM Journal on Numerical Analysis29(3), 867–884 (1992) https://doi.org/10.1137/ 0729053 https://doi.org/10.1137/0729053.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach SIAM Journal on Numerical Analysis29(3), 867–884 (1992) https://doi.org/10.1137/ 0729053 https://doi.org/10.1137/0729053

Reference 28

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This paper cites SIAM Journal on Numerical Analysis36(3), 667–695 (1999).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach SIAM Journal on Numerical Analysis36(3), 667–695 (1999)

Reference 29

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This paper cites SIAM Journal on Numeri- cal Analysis41(2), 673–694 (2003) https://doi.org/10.1137/S0036142901396533 https://doi.org/10.1137/S0036142901396533.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach SIAM Journal on Numeri- cal Analysis41(2), 673–694 (2003) https://doi.org/10.1137/S0036142901396533 https://doi.org/10.1137/S0036142901396533

Reference 30

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Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach SIAM Journal on Numerical Analysis 42(6), 2612–2632 (2005) https://doi.org/10.1137/S0036142902419600 https://doi.org/10.1137/S0036142902419600

Reference 31

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Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Unresolved cited work

Reference 32

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This paper cites Communications on Applied Mathematics and Computation6(1), 3–29 (2022) https://doi.org/10.1007/ s42967-022-00209-x.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Communications on Applied Mathematics and Computation6(1), 3–29 (2022) https://doi.org/10.1007/ s42967-022-00209-x

Reference 33

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Observation c815cd7c-1374-4a87-a1ea-dddfb6459c6c · outbound

This paper cites Physica D: Nonlinear Phenomena212(3–4), 271–304 (2005).

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Physica D: Nonlinear Phenomena212(3–4), 271–304 (2005)

Reference 34

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source=pdf_text observed=2026-07-12T02:43:00.796508Z digest=sha256:73bf67aeb1fe2534d4fbe8f70b7fde2d65cc7818b4f642c108ff0561970699cb

Observation e587db5f-6add-4658-b849-e59e75745fdf · outbound

This paper cites Ocean Dynamics66(10), 1231–1251 (2016) https: //doi.org/10.1007/s10236-016-0982-8 36.

Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach Ocean Dynamics66(10), 1231–1251 (2016) https: //doi.org/10.1007/s10236-016-0982-8 36

Reference 35

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doi, observed 2026-07-12T02:48:25.395186Z

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source=pdf_text observed=2026-07-12T02:43:00.796508Z digest=sha256:7bb168d7ab8746960309890af4b61179a39c9970819fa8f9dcd9e32519fa0adf

Pith citing papers

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