Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:44.033956Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:32:33.380659Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 61f6b9b7-aaee-402b-ab8b-53bbb4c95474 · inbound
Drivetrain simulation using variational autoencoders State-space models are accurate and efficient neural operators for dynamical systems
Reference 35
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.
Observation 8589de7f-6416-4fad-9925-d46099fec9ee · inbound
Latent Mamba Operator for Partial Differential Equations State-space models are accurate and efficient neural operators for dynamical systems
Reference 1990
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 State-space models are accurate and efficient neural operators for dynamical systems
Reference 5
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 State-space models are accurate and efficient neural operators for dynamical systems
Reference 23
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 State-space models are accurate and efficient neural operators for dynamical systems
Reference 16
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 State-space models are accurate and efficient neural operators for dynamical systems
Reference 25
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.
Observation a4bef276-f3a0-4a72-be56-fa78d9286359 · inbound
Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks State-space models are accurate and efficient neural operators for dynamical systems
Reference 34
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.
Observation d5742dce-e943-4b0d-924d-51afaa81635a · inbound
Adaptive Mamba Neural Operators State-space models are accurate and efficient neural operators for dynamical systems
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.