Paper Citation Record · LEDGER

Conditional Lagrangian Wasserstein Flow for Time Series Imputation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.07550.

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

pith.paper-citation-record.v1
2410.07550 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:13:34.358132Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:16:57.550438Z

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 d37dc076-2174-4cca-b05e-bb53aaf71c42 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Conditional Lagrangian Wasserstein Flow for Time Series Imputation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:27.312135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76644cb4-b754-4e11-995f-04979c65cc0f · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Conditional Lagrangian Wasserstein Flow for Time Series Imputation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:52:59.246401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7e4b295-a5ae-4685-91fb-c7a16f4bdefa · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Conditional Lagrangian Wasserstein Flow for Time Series Imputation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:23:48.176632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02536b87-37fc-498d-851f-4bf975d32ed6 · inbound

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data cites this paper.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Conditional Lagrangian Wasserstein Flow for Time Series Imputation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.552394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.