Paper Citation Record · LEDGER

Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.07594.

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

pith.paper-citation-record.v1
2402.07594 v4

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:29:02.583248Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:22:04.899495Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 3dcb8856-dbe9-4d13-bf0d-feb459cdf402 · inbound

On Foundation Models for Dynamical Systems from Purely Synthetic Data cites this paper.

On Foundation Models for Dynamical Systems from Purely Synthetic Data Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:29:02.583248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503c92bf-aeb7-42be-80a1-771e9d72673e · inbound

EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems cites this paper.

EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T15:27:19.992117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 643fcace-6c8e-4a80-82d6-52ea766eeb8f · inbound

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning cites this paper.

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T22:40:00.554001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a86ce33a-3407-415f-b458-007044067049 · inbound

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF cites this paper.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:22:04.903944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.