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Paper Citation Record · LEDGER

Systematic comparison of deep generative models applied to multivariate financial time series

As of 14 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2412.06417.

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

pith.paper-citation-record.v1
2412.06417 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:44:46.492118Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:27:38.760443Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T22:55:51.856084Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved53
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8e47470-2456-48e8-a34a-e006736bfb6b · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation 65ae5f53-7dfe-476f-b971-0b2a7c75519d · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 2

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Observation ff986aab-532a-42e6-b8ef-3727d0c9f396 · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 4

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Observation 78f0f599-6f15-4a8e-bc74-00887afe773a · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 5

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 6

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 7

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 9

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 11

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This paper cites Tail-GAN: Learning to Simulate Tail Risk Scenarios.

Systematic comparison of deep generative models applied to multivariate financial time series Tail-GAN: Learning to Simulate Tail Risk Scenarios

Reference 12

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 13

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 14

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Observation d12407ac-9199-40b3-9020-1f288dca2bb7 · outbound

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 16

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Observation ec00bd86-32ba-484f-b68c-81e484ff0fd0 · outbound

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Observation ab0ec2c1-bace-43d9-b848-2784b6b91c78 · outbound

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Systematic comparison of deep generative models applied to multivariate financial time series Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 20

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 25

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Adversarial Generalized Method of Moments

Reference 31

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 32

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Systematic comparison of deep generative models applied to multivariate financial time series Rough paths, Signatures and the modelling of functions on streams

Reference 33

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Source-reported events for the cited work

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Systematic comparison of deep generative models applied to multivariate financial time series PAGAN: Portfolio Analysis with Generative Adversarial Networks

Reference 34

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Source-reported events for the cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 35

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Observation 4f2904db-70f4-4e41-813c-53b6b178fe8f · outbound

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Source-reported events for the cited work

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

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Observation 13a0a131-5b86-4eda-960d-97b1bf8e5380 · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 38

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1ffe46ad-8425-4003-9718-a555e6022663 · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation efbc8245-fa25-480c-9b48-d0227fdddebd · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e07a1b28-0b8f-413a-935d-b9780636e088 · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 42

Resolution
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Source-reported events for the cited work

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Observation ff30431c-c6ad-4195-a92e-bc70a6b4a54b · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Systematic comparison of deep generative models applied to multivariate financial time series Score-Based Generative Modeling through Stochastic Differential Equations

Reference 43

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 44

Resolution
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Source-reported events for the cited work

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Observation 2f08ce8b-2293-4af1-bf08-4ab0c737079c · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 45

Resolution
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Source-reported events for the cited work

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Observation a9f7c3eb-c39b-41c1-b395-ac5108650d14 · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 46

Resolution
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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 47

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c5a72fce-a5ef-4374-8037-7398ebcdf926 · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 48

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 35c077e0-75ec-4bf9-b7b7-17aa1083431b · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2e383911-5aad-4117-b09d-0f9365a3bd8c · outbound

This paper cites an unresolved cited work.

Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 51

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 52

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Systematic comparison of deep generative models applied to multivariate financial time series Unresolved cited work

Reference 53

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b9c78408-979d-47ca-a312-cd98779fd09d · outbound

This paper cites InProceedings of the 2011 SIGGRAPH Asia conference.

Systematic comparison of deep generative models applied to multivariate financial time series InProceedings of the 2011 SIGGRAPH Asia conference

Reference 2011

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4cfb0adf-a4d4-48b6-b8b0-44f80755182a · outbound

This paper cites In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

Systematic comparison of deep generative models applied to multivariate financial time series In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 2017

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3ecba6c5-87cd-44e0-8b44-18f57a6e3469 · outbound

This paper cites Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review.

Systematic comparison of deep generative models applied to multivariate financial time series Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review

Reference 2024

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:44:46.357523Z digest=sha256:a9ba12a596ba408061c891edf47121d9a02dd58bbc0ba8bc433717b17e9ceee7

Pith citing papers

Observation 50e6dfd8-a44d-4b78-bb8e-dba5841de4db · inbound

Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcus-Signature RKHS cites this paper.

Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcus-Signature RKHS Systematic comparison of deep generative models applied to multivariate financial time series

Reference 7

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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