Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:42:08.616498Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 5 inbound Pith citation observations for arXiv:1908.08806.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:42:08.616498Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:22:36.162911Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T09:44:49.489997Z
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2625d999-1af1-4a53-b669-02d7af02ca4a · outbound
On deep calibration of (rough) stochastic volatility models Al` os, J
Reference 1
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Observation 645e53c6-2041-4b30-a6eb-53fe06edc485 · outbound
On deep calibration of (rough) stochastic volatility models Antonov, M
Reference 2
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On deep calibration of (rough) stochastic volatility models Avellaneda, A
Reference 3
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Observation ce9da573-76ab-4d36-9405-86c0afecc18b · outbound
On deep calibration of (rough) stochastic volatility models A regularity structure for rough volatility
Reference 4
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Observation a8bc04d7-01cb-4828-b20e-9aa8b237276d · outbound
On deep calibration of (rough) stochastic volatility models Bayer, P
Reference 5
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On deep calibration of (rough) stochastic volatility models Short-time near-the-money skew in rough fractional volatility models
Reference 6
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On deep calibration of (rough) stochastic volatility models Deep calibration of rough stochastic volatility models
Reference 7
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Observation 34f7d70a-8e59-4d30-825d-152f87f71970 · outbound
On deep calibration of (rough) stochastic volatility models Bennedsen, A
Reference 8
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 9
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 10
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
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Observation 086af138-3add-4fb0-9eb6-db3d04b6c53f · outbound
On deep calibration of (rough) stochastic volatility models Culkin and S
Reference 12
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On deep calibration of (rough) stochastic volatility models De Spiegeleer, D
Reference 13
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On deep calibration of (rough) stochastic volatility models Dimitroff, D
Reference 14
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On deep calibration of (rough) stochastic volatility models Eldan and O
Reference 15
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On deep calibration of (rough) stochastic volatility models El Euch and M
Reference 16
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On deep calibration of (rough) stochastic volatility models Forde, H
Reference 17
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On deep calibration of (rough) stochastic volatility models Friedman, R
Reference 18
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Observation c8f86df3-f1d8-4abc-a3f2-45dd66da682e · outbound
On deep calibration of (rough) stochastic volatility models Deeply Learning Derivatives
Reference 19
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Observation 79d4f1f0-173e-4fb7-954d-21775c113430 · outbound
On deep calibration of (rough) stochastic volatility models Foreman-Mackey, D
Reference 20
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Observation 88790ff1-d5c8-4ad4-9557-01376e0886cc · outbound
On deep calibration of (rough) stochastic volatility models Foreman-Mackey, corner.py: Scatterplot matrices in Python, The Journal of Open Source Software 24, http://dx.doi.org/10.5281/zenodo.45906, 2016
Reference 21
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On deep calibration of (rough) stochastic volatility models Fukasawa
Reference 22
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On deep calibration of (rough) stochastic volatility models Gatheral
Reference 23
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Observation c7e835ca-61ee-40be-80aa-f5afd3addfce · outbound
On deep calibration of (rough) stochastic volatility models Gatheral, T
Reference 24
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On deep calibration of (rough) stochastic volatility models Low-rank tensor approximation for Chebyshev interpolation in parametric option pricing
Reference 25
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 26
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Observation 2072171a-0c58-4ca0-9f3e-b1d710fefebe · outbound
On deep calibration of (rough) stochastic volatility models Hagan, D
Reference 27
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Observation 0f7235a5-09c4-4898-9f36-d96aef169aac · outbound
On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 28
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 29
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Observation 6b05a523-1f74-4ee7-8822-2e29d881da33 · outbound
On deep calibration of (rough) stochastic volatility models Hernandez
Reference 30
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On deep calibration of (rough) stochastic volatility models Hornik, M
Reference 31
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 32
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On deep calibration of (rough) stochastic volatility models Henry-Labord` ere
Reference 33
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On deep calibration of (rough) stochastic volatility models Functional central limit theorems for rough volatility
Reference 34
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On deep calibration of (rough) stochastic volatility models Horvath, A
Reference 35
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On deep calibration of (rough) stochastic volatility models Horvath, O
Reference 36
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On deep calibration of (rough) stochastic volatility models Hull and A
Reference 37
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 38
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On deep calibration of (rough) stochastic volatility models To sigmoid-based functional description of the volatility smile
Reference 39
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On deep calibration of (rough) stochastic volatility models Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Reference 40
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Observation 64b9e875-9c2f-43ed-a9f0-b91f0654698e · outbound
On deep calibration of (rough) stochastic volatility models Kingman and J
Reference 41
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On deep calibration of (rough) stochastic volatility models Leitao Rodriguez, L.A
Reference 42
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On deep calibration of (rough) stochastic volatility models Levenberg
Reference 43
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On deep calibration of (rough) stochastic volatility models Marquardt
Reference 44
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On deep calibration of (rough) stochastic volatility models A neural network-based framework for financial model calibration
Reference 45
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On deep calibration of (rough) stochastic volatility models Unresolved cited work
Reference 46
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On deep calibration of (rough) stochastic volatility models McCrickerd, M
Reference 47
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On deep calibration of (rough) stochastic volatility models Leitao Rodriguez, A
Reference 48
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On deep calibration of (rough) stochastic volatility models Unbiased deep solvers for linear parametric PDEs
Reference 49
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On deep calibration of (rough) stochastic volatility models Sirignano and K
Reference 50
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On deep calibration of (rough) stochastic volatility models Setayeshgar, and H
Reference 51
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On deep calibration of (rough) stochastic volatility models Shaham, A
Reference 52
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On deep calibration of (rough) stochastic volatility models Calibrating rough volatility models: a convolutional neural network approach
Reference 53
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Robust financial calibration: a Bayesian approach for neural SDEs On deep calibration of (rough) stochastic volatility models
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Observation 996c84b7-3c10-4594-a601-f317abbf870b · inbound
Multivariate Rough Volatility On deep calibration of (rough) stochastic volatility models
Reference 263
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Deep Learning-Enhanced Calibration of the Heston Model: A Unified Framework On deep calibration of (rough) stochastic volatility models
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Signature-based identification of volatility models from path geometry On deep calibration of (rough) stochastic volatility models
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