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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-15T06:32:42.880941+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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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=sha256:30a0dc87bf378efa543a9683e1474ebc0650eaf8e705484b5905ef70be102af3

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=sha256:78943500d6ed1938758f49da8362d11764ced8ce327610f5d91afd50e94b4eef

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T18:01:54.740246Z digest=sha256:a8b672e9f63f25aeff09fb06720c21f9472b48a662bd47f1c8d6c647d16c4451