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Paper Citation Record · LEDGER

Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.15285.

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

pith.paper-citation-record.v1
2402.15285 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:16.406356Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:36:04.308097Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dedac915-69a0-48f6-bc6e-56d304c4e080 · inbound

An Eulerian approach to regularized JKO scheme with low-rank tensor decompositions for Bayesian inversion cites this paper.

An Eulerian approach to regularized JKO scheme with low-rank tensor decompositions for Bayesian inversion Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-12T17:39:16.406356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:39:16.406356Z digest=sha256:fe16215dbb6de11ca75f33897136636062c2fd4e7559b4b4dc8a8488d9874dd7

Observation 1a641df4-0ecf-4982-ba3b-b19ab926e5ce · inbound

Sampling from Boltzmann densities with physics informed low-rank formats cites this paper.

Sampling from Boltzmann densities with physics informed low-rank formats Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:42:48.174924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:42:48.174924Z digest=sha256:487b85a82509f21f1e6f5bd78c28c4ff1c544b8624c02d81f51ccacaf46db912

Observation abe9cbae-2c2d-47ad-8a10-5cbbf5281a91 · inbound

Generative optimal transport via forward-backward HJB matching cites this paper.

Generative optimal transport via forward-backward HJB matching Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:36:04.313076Z

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.

source=pdf_text observed=2026-05-10T18:01:54.740246Z digest=sha256:ddd91762e10783de88b9dc27567d4577aeb1512d72da7843042917f290e1d1c3