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Paper Citation Record · LEDGER

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.21531.

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

pith.paper-citation-record.v1
2507.21531 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:45:22.513277Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved24
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26797a88-57f8-4974-9f95-ae50b2eaaf77 · outbound

This paper cites Bondanelli, T.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Bondanelli, T

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b7569c5f-ce46-4b89-8af8-657d584a02e4 · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cf708ae9-e625-4de7-97ae-faa1f181a536 · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cb6118ed-d15a-448f-9bb9-2db9637d365c · outbound

This paper cites Chang, Q.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Chang, Q

Reference 4

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Observation ede346b3-cc99-409c-ab37-9cc2d0e9cfde · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d185ab47-a58f-455b-97aa-900e93189f5c · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fc108b53-336d-4e4a-8a66-ae254c394a4a · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 79d78fb7-f0a1-408b-af64-ee8a2e8b9479 · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b6084f2-3e0a-409d-a08f-4693c38b5859 · outbound

This paper cites Doucet, N.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Doucet, N

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 006e73bc-e2bd-423d-9a84-92e05921b149 · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6ce01424-dc92-4707-adc5-ce7df2ec32ec · outbound

This paper cites Eleftheriadis, T.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Eleftheriadis, T

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 391b39f2-52e4-4354-a1da-53eaccb2eb4a · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1058a740-a883-4c0e-97b2-ce07e217d66c · outbound

This paper cites Ghahramani and G.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Ghahramani and G

Reference 13

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a46e01b-d772-44cd-95fc-104aa64212ca · outbound

This paper cites Dynamical Variational Autoencoders: A Comprehensive Review.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Dynamical Variational Autoencoders: A Comprehensive Review

Reference 14

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b0356af1-c8eb-4dbb-9cbf-0769430ccb27 · outbound

This paper cites Glorot and Y.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Glorot and Y

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1a591141-6d2a-4ab2-9466-f45ebfee020c · outbound

This paper cites Gonzalez-Castillo, I.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Gonzalez-Castillo, I

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8eb2a6a1-5373-4f1d-befb-2956bfcf75e2 · outbound

This paper cites Gosztolai, R.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Gosztolai, R

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9d291b06-9c9d-460b-9f01-9e4f9538fa54 · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 7c0e834e-ea78-4124-b037-cd9d164e6aab · outbound

This paper cites Jacobsen.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Jacobsen

Reference 19

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Source-reported events for the cited work

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Observation ae1ccf16-b0ed-4910-8bea-9413c8c78546 · outbound

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

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Observation ba877008-920c-43a8-b3dd-359894076d74 · outbound

This paper cites Deep Kalman Filters.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Deep Kalman Filters

Reference 21

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8f2182cd-d957-412c-95cb-dc47e28e79a7 · outbound

This paper cites Kwon, H.-S.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Kwon, H.-S

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation faf3b69d-524f-48c2-b8b6-15abfb85f0f2 · outbound

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 23

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Source-reported events for the cited work

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Observation 95c84293-abbb-4c0c-b34f-0b0ad19f0c84 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35e4a7d6-c00f-48fd-9a2e-1bffc6296ef4 · outbound

This paper cites Oksendal.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Oksendal

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 36c1ca04-8a23-46c0-9e26-b9e5d9d59645 · outbound

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 363c0046-612e-44d2-855f-e777df88eace · outbound

This paper cites Petralia, V.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Petralia, V

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 771874d1-683c-4d29-8b99-e0658ec87403 · outbound

This paper cites Pitman and M.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Pitman and M

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1c4f4ad8-ed72-4e93-8228-b4605775cd58 · outbound

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 973a7da9-e4da-4151-b129-143b9d22b18e · outbound

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f35aec71-6c58-48d6-b527-ca95c935c782 · outbound

This paper cites S \"a rkk \"a and L.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series S \"a rkk \"a and L

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1ebe44e8-b853-496e-954c-6da0a7f62a1d · outbound

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 28409eef-e0db-4692-a0f3-783c108fc072 · outbound

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Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation de3d930e-d1ad-47f4-9c73-5670f1c15d02 · outbound

This paper cites Van der Maaten and G.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Van der Maaten and G

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4598d969-a8d9-4b46-ad85-132d68cb5d5f · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 36

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bab97d65-f7be-4a71-8fdc-0e69a70fa529 · outbound

This paper cites Whiteley, A.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Whiteley, A

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:45:22.595891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:45:22.507593Z digest=sha256:cfbde0c441c17cfa07d3c63e905dcf484a13f3659934d5458a1e336d00975f89

Observation 6594bbae-6009-4056-b7ca-d9b339b7ec13 · outbound

This paper cites an unresolved cited work.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:45:22.587326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:45:22.510601Z digest=sha256:8f91b9700c7803ea99ffaf4cf9093689a54214d267eddf2a513d508e06098973

Observation 6579ead7-6f22-4208-a271-985c4d598769 · outbound

This paper cites Ziaei, B.

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series Ziaei, B

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:45:22.577572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T12:45:22.513277Z digest=sha256:36b98f2138e42d2cef653fecb8ff17590efb0a538efa4e3dbf0f73c8cea4cf19

Pith citing papers

No inbound Pith citation observations are available.