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Paper Citation Record · LEDGER

Learning Density Evolution from Snapshot Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.17738.

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

pith.paper-citation-record.v1
2502.17738 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:06:22.022074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:47:05.120306Z

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 f9637748-2e27-4f19-b23b-8dc4377668b4 · inbound

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics cites this paper.

Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics Learning Density Evolution from Snapshot Data

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T01:06:22.022074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:06:22.022074Z digest=sha256:379d6863f161c93607f4fafde59d0c2b73a897282339a7009c5e7251d9975ae2

Observation 80fa451b-0d03-4e3d-aa5f-3a8f7cdd74fe · inbound

Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs cites this paper.

Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs Learning Density Evolution from Snapshot Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T18:15:00.937707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:15:00.937707Z digest=sha256:5f0735c9ebb7b3fe01beecfba418b0d4c36856397f97b6893969761a9c63a47c

Observation a409160f-ce47-433c-8bc6-2c9da4b2b64c · inbound

On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data cites this paper.

On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data Learning Density Evolution from Snapshot Data

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:15:53.859346Z

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=pdf_text observed=2026-05-10T18:37:44.740900Z digest=sha256:d00f4a8309efaffaf5ec86a6c9c8104b4502d17178f42acec625b43202c5a350

Observation b1b77658-a6b3-433b-94c4-698933ace5cd · inbound

A Unified Approach for Computing Wasserstein Barycenters of Discrete and Continuous Measures cites this paper.

A Unified Approach for Computing Wasserstein Barycenters of Discrete and Continuous Measures Learning Density Evolution from Snapshot Data

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:47:05.122365Z

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=2026-05-13T01:28:23.866568Z digest=sha256:9080d17cecc4a679061c7354fb216de72f102639ff67998b9996c4f74b530f25