Paper Citation Record · LEDGER

Koopman-informed recurrent neural networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.23467.

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

pith.paper-citation-record.v1
2410.23467 v3

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:47.740119Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b04da9fd-e410-415c-8f3e-82eb4e7ac224 · inbound

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization cites this paper.

Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization Koopman-informed recurrent neural networks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:47.740119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2d974d-9c2a-4947-8291-30f04f3e948c · inbound

Rapid training of Hamiltonian graph networks using random features cites this paper.

Rapid training of Hamiltonian graph networks using random features Koopman-informed recurrent neural networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:19:37.656798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4e0459f-8cc6-415c-a78e-a0ed86951e77 · inbound

Neural Functions for Learning Periodic Signal cites this paper.

Neural Functions for Learning Periodic Signal Koopman-informed recurrent neural networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:32.573268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e8296e-d935-4122-845f-0e34f5864916 · inbound

Adaptive Kernel Selection for Kernelized Diffusion Maps cites this paper.

Adaptive Kernel Selection for Kernelized Diffusion Maps Koopman-informed recurrent neural networks

Reference 290

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:19:37.656798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.