Boosting Binomial Exotic Option Pricing with Tensor Networks | Paper Citation Record

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 1

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This paper cites d(1−pu) d(1−pu) 0 1 −pu # for 1<i<N (22) B1 i =.

Boosting Binomial Exotic Option Pricing with Tensor Networks d(1−pu) d(1−pu) 0 1 −pu # for 1<i<N (22) B1 i =

Reference 2

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This paper cites Additionally, this form also ensures that the correlation matrix is positive definite as required by the decoupling trees approach.

Boosting Binomial Exotic Option Pricing with Tensor Networks Additionally, this form also ensures that the correlation matrix is positive definite as required by the decoupling trees approach

Reference 3

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Observation ac030b96-1b5e-444c-ae7f-9188a900637c · outbound

This paper cites At any discrete time step k of the multi- dimensional tree, the original random variables Stk are given by Stk = exp(GYtk).

Boosting Binomial Exotic Option Pricing with Tensor Networks At any discrete time step k of the multi- dimensional tree, the original random variables Stk are given by Stk = exp(GYtk)

Reference 4

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Observation b69261d7-4a98-4d2b-bee7-3b69875a0a87 · outbound

This paper cites Buchen, An Introduction to Exotic Option Pricing (Chapman and Hall/CRC, 2012).

Boosting Binomial Exotic Option Pricing with Tensor Networks Buchen, An Introduction to Exotic Option Pricing (Chapman and Hall/CRC, 2012)

Reference 5

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Observation 5527b8cd-290b-42c2-9080-615ff10936ee · outbound

This paper cites Hull, Options, Futures, and Other Derivatives Global Edition (Pearson Deutschland, 2021) p.

Boosting Binomial Exotic Option Pricing with Tensor Networks Hull, Options, Futures, and Other Derivatives Global Edition (Pearson Deutschland, 2021) p

Reference 6

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Observation df7b6099-deff-4748-9b75-9ac11198afdc · outbound

This paper cites Black and M.

Boosting Binomial Exotic Option Pricing with Tensor Networks Black and M

Reference 7

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 8

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 9

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Observation c0ec4e3f-f281-4d41-98fd-833b0ad46f04 · outbound

This paper cites Patel, C.-W.

Boosting Binomial Exotic Option Pricing with Tensor Networks Patel, C.-W

Reference 10

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Observation d528edf0-7491-440b-bbdd-4a6083b1a5ab · outbound

This paper cites Ruf and W.

Boosting Binomial Exotic Option Pricing with Tensor Networks Ruf and W

Reference 11

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 12

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Observation da8585c8-594a-4cd5-a731-48a51d4c4d76 · outbound

This paper cites Sakurai, H.

Boosting Binomial Exotic Option Pricing with Tensor Networks Sakurai, H

Reference 13

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Observation 1bac189d-164e-4cdf-af2f-e5c566b7c180 · outbound

This paper cites Time series generation for option pricing on quantum computers using tensor network.

Boosting Binomial Exotic Option Pricing with Tensor Networks Time series generation for option pricing on quantum computers using tensor network

Reference 14

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Observation 833d92e5-1875-4432-a293-e2b0305a1530 · outbound

This paper cites Use Cases of Quantum Optimization for Finance.

Boosting Binomial Exotic Option Pricing with Tensor Networks Use Cases of Quantum Optimization for Finance

Reference 15

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 16

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Observation 419a984e-01ca-4703-881a-21c5de8631b5 · outbound

This paper cites Cassel, Fast high-dimensional integration using tensor networks, Papers (arXiv.org, 2022).

Boosting Binomial Exotic Option Pricing with Tensor Networks Cassel, Fast high-dimensional integration using tensor networks, Papers (arXiv.org, 2022)

Reference 17

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Observation ea34b4e1-617a-40ee-b226-2665bd2c00bf · outbound

This paper cites Antonov and V.

Boosting Binomial Exotic Option Pricing with Tensor Networks Antonov and V

Reference 18

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Observation 6e8ed05f-64db-49e2-8684-94797296b083 · outbound

This paper cites Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting.

Boosting Binomial Exotic Option Pricing with Tensor Networks Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting

Reference 19

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Observation c0b715cb-173b-4c1c-bb4b-d2752e774058 · outbound

This paper cites Verstraete, V.

Boosting Binomial Exotic Option Pricing with Tensor Networks Verstraete, V

Reference 20

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Observation e626a19f-6c04-40b3-a2e7-1d1fab279ecb · outbound

This paper cites Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks.

Boosting Binomial Exotic Option Pricing with Tensor Networks Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks

Reference 21

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Observation bb9202eb-c204-43b1-9363-d39353a72c8d · outbound

This paper cites Quantum-Inspired Tensor Neural Networks for Option Pricing.

Boosting Binomial Exotic Option Pricing with Tensor Networks Quantum-Inspired Tensor Neural Networks for Option Pricing

Reference 22

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Observation 0d9b4dfc-af60-4ec5-a0d0-1b9ad0dd7381 · outbound

This paper cites Application of Tensor Neural Networks to Pricing Bermudan Swaptions.

Boosting Binomial Exotic Option Pricing with Tensor Networks Application of Tensor Neural Networks to Pricing Bermudan Swaptions

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:31:16.951801Z

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Observation 7262d58d-cf24-4703-a9fe-55e0f9d74b14 · outbound

This paper cites Perez-Garcia, F.

Boosting Binomial Exotic Option Pricing with Tensor Networks Perez-Garcia, F

Reference 24

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Observation 45e513fa-f57d-463c-a720-62791321644f · outbound

This paper cites A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States.

Boosting Binomial Exotic Option Pricing with Tensor Networks A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States

Reference 25

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Observation b625cec5-4a96-407e-a11c-82b7c5823dbf · outbound

This paper cites The density-matrix renormalization group in the age of matrix product states.

Boosting Binomial Exotic Option Pricing with Tensor Networks The density-matrix renormalization group in the age of matrix product states

Reference 26

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This paper cites Evenbly and G.

Boosting Binomial Exotic Option Pricing with Tensor Networks Evenbly and G

Reference 27

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 28

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Observation 1404cf8d-4c27-459c-b3f6-06485dbd68d6 · outbound

This paper cites A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions and Gauge Freedom.

Boosting Binomial Exotic Option Pricing with Tensor Networks A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions and Gauge Freedom

Reference 29

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 30

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 31

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 32

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This paper cites Affleck, T.

Boosting Binomial Exotic Option Pricing with Tensor Networks Affleck, T

Reference 33

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This paper cites Rommer and S.

Boosting Binomial Exotic Option Pricing with Tensor Networks Rommer and S

Reference 34

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 35

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 36

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Observation 2f584e6c-68e4-48b7-b635-86ce29286253 · outbound

This paper cites Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions.

Boosting Binomial Exotic Option Pricing with Tensor Networks Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions

Reference 37

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Observation d2a66432-a357-496e-bffc-8f3269e7f3f7 · outbound

This paper cites Vidal, Entanglement Renormalization, Physical Review Letters 99, 10.1103/PhysRevLett.99.220405 (2007).

Boosting Binomial Exotic Option Pricing with Tensor Networks Vidal, Entanglement Renormalization, Physical Review Letters 99, 10.1103/PhysRevLett.99.220405 (2007)

Reference 38

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Observation 13df9f37-042e-41c8-be62-c288483701f0 · outbound

This paper cites Vidal, Class of Quantum Many-Body States That Can Be Efficiently Simulated, Physical Review Letters 101, 110501 (2008).

Boosting Binomial Exotic Option Pricing with Tensor Networks Vidal, Class of Quantum Many-Body States That Can Be Efficiently Simulated, Physical Review Letters 101, 110501 (2008)

Reference 39

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Observation 9a1b8846-abf5-4564-a21d-322f830d9d4f · outbound

This paper cites Ganahl, M.

Boosting Binomial Exotic Option Pricing with Tensor Networks Ganahl, M

Reference 40

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 41

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 42

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 43

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Observation 8258ef9d-d288-4f5f-82a2-b2a658d0a60a · outbound

This paper cites Ganahl, P.

Boosting Binomial Exotic Option Pricing with Tensor Networks Ganahl, P

Reference 44

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Observation fcd937ba-0e62-4eca-9cae-3fc593568ec4 · outbound

This paper cites Approximation and sampling of multivariate probability distributions in the tensor train decomposition.

Boosting Binomial Exotic Option Pricing with Tensor Networks Approximation and sampling of multivariate probability distributions in the tensor train decomposition

Reference 45

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This paper cites Bauernfeind, M.

Boosting Binomial Exotic Option Pricing with Tensor Networks Bauernfeind, M

Reference 46

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Observation c227902b-51b6-410c-8d2c-9e09f45558be · outbound

This paper cites Menczer, K.

Boosting Binomial Exotic Option Pricing with Tensor Networks Menczer, K

Reference 47

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Observation 52769a5c-eed8-41f0-bd88-93e8dbd40c71 · outbound

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 48

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 49

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Observation 2f97587f-bcde-4863-a246-10f1a15b4d0d · outbound

This paper cites The Monte Carlo sampling was performed by drawing Ns length-N random bit strings x = x1x2...x N from (a) p(x)vA(x) =A1 x1 A2 x2.

Boosting Binomial Exotic Option Pricing with Tensor Networks The Monte Carlo sampling was performed by drawing Ns length-N random bit strings x = x1x2...x N from (a) p(x)vA(x) =A1 x1 A2 x2

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.667597Z

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Observation ce4f4321-66a5-46a8-a81a-a4a98d5591a7 · outbound

This paper cites Dolgov and D.

Boosting Binomial Exotic Option Pricing with Tensor Networks Dolgov and D

Reference 51

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Observation f05766b6-eec6-440c-8256-a47144392650 · outbound

This paper cites Oseledets and E.

Boosting Binomial Exotic Option Pricing with Tensor Networks Oseledets and E

Reference 52

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Observation f7f42b35-de8c-49b9-9889-01fa66b760bb · outbound

This paper cites Glasser, R.

Boosting Binomial Exotic Option Pricing with Tensor Networks Glasser, R

Reference 53

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Observation 9218d357-6fa8-4f6a-a689-f3d19a6f41b5 · outbound

This paper cites Glasser, N.

Boosting Binomial Exotic Option Pricing with Tensor Networks Glasser, N

Reference 54

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Observation 22d4eda4-8a75-4111-aef3-d16f69a39072 · outbound

This paper cites Cichocki, N.

Boosting Binomial Exotic Option Pricing with Tensor Networks Cichocki, N

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.216119Z

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Observation 83f80c2b-2be2-4fe1-b2ca-f8e6de5dd5b8 · outbound

This paper cites Cichocki, N.

Boosting Binomial Exotic Option Pricing with Tensor Networks Cichocki, N

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.203530Z

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Observation 575691f6-b5a3-4a58-9216-dac171343bd0 · outbound

This paper cites Tensor network approaches for learning non-linear dynamical laws.

Boosting Binomial Exotic Option Pricing with Tensor Networks Tensor network approaches for learning non-linear dynamical laws

Reference 57

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Observation 1a2f3eaf-5bd4-4d27-8cde-71fcdbab8963 · outbound

This paper cites Anomaly Detection from a Tensor Train Perspective.

Boosting Binomial Exotic Option Pricing with Tensor Networks Anomaly Detection from a Tensor Train Perspective

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:31:16.777752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 58198baa-1685-4ebc-9974-6594ccc4d392 · outbound

This paper cites Anomaly Detection with Tensor Networks.

Boosting Binomial Exotic Option Pricing with Tensor Networks Anomaly Detection with Tensor Networks

Reference 59

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Observation a6a11b2f-bfdc-46c8-a146-3dd0299b48cf · outbound

This paper cites Learning Relevant Features of Data with Multi-scale Tensor Networks.

Boosting Binomial Exotic Option Pricing with Tensor Networks Learning Relevant Features of Data with Multi-scale Tensor Networks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:16.413856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4e67bb5-a696-4781-ac2b-70eb68bb4cdd · outbound

This paper cites Principal Component Analysis with Tensor Train Subspace.

Boosting Binomial Exotic Option Pricing with Tensor Networks Principal Component Analysis with Tensor Train Subspace

Reference 61

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Observation 31a8063c-b338-43c4-9292-79e4f12cbe37 · outbound

This paper cites Tensor networks and efficient descriptions of classical data.

Boosting Binomial Exotic Option Pricing with Tensor Networks Tensor networks and efficient descriptions of classical data

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:31:16.719859Z

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Observation 2399ba35-bccc-4e21-93fb-522f49eaf35c · outbound

This paper cites Tensor networks for unsupervised machine learning.

Boosting Binomial Exotic Option Pricing with Tensor Networks Tensor networks for unsupervised machine learning

Reference 63

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Observation 14e3366c-cc05-4072-b527-df547bb54403 · outbound

This paper cites Konstantinidis, Y.

Boosting Binomial Exotic Option Pricing with Tensor Networks Konstantinidis, Y

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.191236Z

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Observation 8a973f19-6eeb-4699-90bf-7c2642fd043b · outbound

This paper cites Kirstein, D.

Boosting Binomial Exotic Option Pricing with Tensor Networks Kirstein, D

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.178988Z

Source-reported events for the cited work

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Observation 1657b016-9fc2-4c44-b14c-44037458771b · outbound

This paper cites Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition.

Boosting Binomial Exotic Option Pricing with Tensor Networks Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:16.437860Z

Source-reported events for the cited work

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Observation 63ba2779-cf6d-4d3a-9c75-f056efc71091 · outbound

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Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:31:17.166593Z

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Observation 2a343592-31b6-46eb-997c-14a8f200b1ed · outbound

This paper cites an unresolved cited work.

Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 68

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Observation cdf9d1b7-e6a6-43e1-ba9c-5dc694a76293 · outbound

This paper cites Generalization and Overfitting in Matrix Product State Machine Learning Architectures.

Boosting Binomial Exotic Option Pricing with Tensor Networks Generalization and Overfitting in Matrix Product State Machine Learning Architectures

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:16.450788Z

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Observation 381cd0ef-7149-4a40-914b-6c87a535ee3f · outbound

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Boosting Binomial Exotic Option Pricing with Tensor Networks Jasra and P

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.153043Z

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Observation 0cb1e169-ee35-4ca9-acb5-d70a865e88e1 · outbound

This paper cites an unresolved cited work.

Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:31:17.140121Z

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Observation 96405779-af45-4cba-872a-99e69675423e · outbound

This paper cites Bouchard and X.

Boosting Binomial Exotic Option Pricing with Tensor Networks Bouchard and X

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.127503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efca2158-6b46-40a3-965c-27fdd4050cbf · outbound

This paper cites an unresolved cited work.

Boosting Binomial Exotic Option Pricing with Tensor Networks Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:31:17.114438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 261cd14f-1ad8-413f-ac7e-6bdaace2cce4 · outbound

This paper cites Steinlechner, Riemannian Optimization for High- Dimensional Tensor Completion, SIAM Journal on Sci- entific Computing 38, S461 (2016).

Boosting Binomial Exotic Option Pricing with Tensor Networks Steinlechner, Riemannian Optimization for High- Dimensional Tensor Completion, SIAM Journal on Sci- entific Computing 38, S461 (2016)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.100918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 796cf667-9e7d-4e22-912e-094469611440 · outbound

This paper cites TensorNetwork: A Library for Physics and Machine Learning.

Boosting Binomial Exotic Option Pricing with Tensor Networks TensorNetwork: A Library for Physics and Machine Learning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:16.474796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f40c875-fcee-407d-b5cb-87f04430c479 · outbound

This paper cites M¨ uller, The binomial approach to option valuation: Getting binomial trees into shape (2009).

Boosting Binomial Exotic Option Pricing with Tensor Networks M¨ uller, The binomial approach to option valuation: Getting binomial trees into shape (2009)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.087230Z

Source-reported events for the cited work

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Observation 300dff31-b0a8-463e-b518-91587afeb6be · outbound

This paper cites Korn and S.

Boosting Binomial Exotic Option Pricing with Tensor Networks Korn and S

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.073125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b66bca6-8a49-4328-98d9-7cf00d57809d · outbound

This paper cites Korn and S.

Boosting Binomial Exotic Option Pricing with Tensor Networks Korn and S

Reference 78

Resolution: verified exact; doi, observed 2026-08-15T23:31:16.530817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a13b940b-eeb7-4ef6-a89e-2531498fec03 · outbound

This paper cites Ito, Stochastic integral (1944).

Boosting Binomial Exotic Option Pricing with Tensor Networks Ito, Stochastic integral (1944)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.060162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 85fc4418-ab04-4294-8ca1-d1c720a34b16 · outbound

This paper cites Jacobs, Stochastic Processes for Physicists: Under- standing Noisy Systems (Cambridge University Press, 2010).

Boosting Binomial Exotic Option Pricing with Tensor Networks Jacobs, Stochastic Processes for Physicists: Under- standing Noisy Systems (Cambridge University Press, 2010)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:17.047305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Outbound references

Pith citing papers