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Paper Citation Record · LEDGER

Generative modeling for time series via Schr{\"o}dinger bridge

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.05093.

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

pith.paper-citation-record.v1
2304.05093 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:56:19.103411Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:46:56.032700Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 94198db0-44f9-4a34-80db-2daffc3f5a16 · inbound

The Ensemble Schr{\"o}dinger Bridge filter for Nonlinear Data Assimilation cites this paper.

The Ensemble Schr{\"o}dinger Bridge filter for Nonlinear Data Assimilation Generative modeling for time series via Schr{\"o}dinger bridge

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:41:15.334863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:41:03.298046Z digest=sha256:981f84a9b55336036278d29d1df0daba62a8b08ebe12f12cf955bc795ec7c291

Observation 48759a58-cc46-41cb-9619-e5b3e3580fdb · inbound

ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space cites this paper.

ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space Generative modeling for time series via Schr{\"o}dinger bridge

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:46:26.213937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T09:29:39.677622Z digest=sha256:f1f8a5ad9123b755738ef08c78f40fbd19631e7e5bc085620015203ec49ec0e6

Observation 01aff511-c5fa-4b19-b4a5-e3aab2dab5ec · inbound

Direct Estimation of Schr\"odinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees cites this paper.

Direct Estimation of Schr\"odinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees Generative modeling for time series via Schr{\"o}dinger bridge

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:07.595063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T15:24:07.914355Z digest=sha256:83c916c809319bee78dfaa150460f593f37f6c33372d7743694103eafd40caed

Observation f27f6e51-06f8-4734-a2ef-722373d900e6 · inbound

Learning Generative Dynamics with Soft Law Constraints: A McKean-Vlasov FBSDE Approach cites this paper.

Learning Generative Dynamics with Soft Law Constraints: A McKean-Vlasov FBSDE Approach Generative modeling for time series via Schr{\"o}dinger bridge

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:56:14.720512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T01:55:25.100938Z digest=sha256:afc9372368bf8c6594554f1d980ba5ff596b6d8aa6b27234d04ff6b3fb01d956

Observation 8e7ed64a-58f8-41c5-a4cc-1d2ed4b4e337 · inbound

Diffusion Models for Adaptive Sequential Data Generation cites this paper.

Diffusion Models for Adaptive Sequential Data Generation Generative modeling for time series via Schr{\"o}dinger bridge

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:46:56.034964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T02:56:19.103411Z digest=sha256:4c09402f014f75f903ff2c6d20ac5e982d5d201ee8921cf675e3353bb254854f