Paper Citation Record · LEDGER

State-space models are accurate and efficient neural operators for dynamical systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.03231.

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

pith.paper-citation-record.v1
2409.03231 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:44.033956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:33.380659Z

Reference resolution

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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 61f6b9b7-aaee-402b-ab8b-53bbb4c95474 · inbound

Drivetrain simulation using variational autoencoders cites this paper.

Drivetrain simulation using variational autoencoders State-space models are accurate and efficient neural operators for dynamical systems

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.384870Z

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 8589de7f-6416-4fad-9925-d46099fec9ee · inbound

Latent Mamba Operator for Partial Differential Equations cites this paper.

Latent Mamba Operator for Partial Differential Equations State-space models are accurate and efficient neural operators for dynamical systems

Reference 1990

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:44.033956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea85af77-d80a-4e4a-b720-8080bd806a69 · inbound

Recurrent Neural Operators: Stable Long-Term PDE Prediction cites this paper.

Recurrent Neural Operators: Stable Long-Term PDE Prediction State-space models are accurate and efficient neural operators for dynamical systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:34.567646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 311b619b-a8ec-4cc3-b34b-82ad7c63480f · inbound

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images cites this paper.

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images State-space models are accurate and efficient neural operators for dynamical systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:35:40.986096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 023969a2-d968-4135-b4c1-2f2f540dbb1f · inbound

Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates cites this paper.

Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates State-space models are accurate and efficient neural operators for dynamical systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:26.202682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70feca3f-61a6-420b-95e1-17bf6cded62d · inbound

Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics cites this paper.

Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics State-space models are accurate and efficient neural operators for dynamical systems

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:41:17.642884Z

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 a4bef276-f3a0-4a72-be56-fa78d9286359 · inbound

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks cites this paper.

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks State-space models are accurate and efficient neural operators for dynamical systems

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:53.172694Z

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 d5742dce-e943-4b0d-924d-51afaa81635a · inbound

Adaptive Mamba Neural Operators cites this paper.

Adaptive Mamba Neural Operators State-space models are accurate and efficient neural operators for dynamical systems

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T16:24:59.932629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.