Paper Citation Record · LEDGER

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis

As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.10254.

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

pith.paper-citation-record.v1
2607.10254 v1

Coverage vector

measured 54 of 54 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

54 of 54 outbound references displayed

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Outbound references

Observation c2d2c0b9-72e5-43b6-a825-7d175af97cdb · outbound

This paper cites Stochastic Policy Gradient Methods in the Uncertain Volatility Model.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Stochastic Policy Gradient Methods in the Uncertain Volatility Model

Reference 1

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 2

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Assellaou, O

Reference 3

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This paper cites Bachouch, C.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Bachouch, C

Reference 4

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This paper cites Barrera-Esteve, F.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Barrera-Esteve, F

Reference 5

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 7

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This paper cites Numerical Approximation for Path-Dependent McKean-Vlasov Control with Non-Asymptotic Error Estimates.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Numerical Approximation for Path-Dependent McKean-Vlasov Control with Non-Asymptotic Error Estimates

Reference 8

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This paper cites Bokanowski, A.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Bokanowski, A

Reference 9

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Bokanowski and X

Reference 10

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Carmona and M

Reference 11

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Chassagneux and A

Reference 12

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Observation f7afd11a-1c87-4d18-80c5-d6cca9b24758 · outbound

This paper cites Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies

Reference 13

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 14

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 15

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis El Karoui, S

Reference 16

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 17

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 18

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Frikha, M

Reference 19

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Neural networks-based algorithms for stochastic control and PDEs in finance

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 21

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Han and W

Reference 22

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 23

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Han and J

Reference 24

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Hu and M

Reference 25

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This paper cites An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control

Reference 26

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Huang, B

Reference 27

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 30

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Lefebvre, G

Reference 33

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 36

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Pham and X

Reference 37

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Picarelli and C

Reference 39

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Picarelli, M

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis ReduceLROnPlateau, 2026

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Raissi, P

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Sirignano and K

Reference 43

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Learning algorithms for mean field optimal control

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Stannat and A

Reference 45

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Stannat, A

Reference 46

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Talay and L

Reference 47

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Tanielian and G

Reference 48

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Wang and X

Reference 49

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Yong and X

Reference 52

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Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Unresolved cited work

Reference 53

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This paper cites Finally, by a discrete Gronwall’s lemma, we get Γ n≤ (C1 +C2|x|2)τn ·eC3τn, whereC1 := 4[b]2 3T + 16[σ ]2 3,C2 := 8[b]2 1 + 4[σ ]2 1 andC3 := 8([b]2 1T + 4[σ ]2 1).

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Finally, by a discrete Gronwall’s lemma, we get Γ n≤ (C1 +C2|x|2)τn ·eC3τn, whereC1 := 4[b]2 3T + 16[σ ]2 3,C2 := 8[b]2 1 + 4[σ ]2 1 andC3 := 8([b]2 1T + 4[σ ]2 1)

Reference 54

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