Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:07:38.251127Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.18954.
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, observed 2026-08-05T16:07:38.251127Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 719e57fb-ab4d-4030-8b5a-ec57cd1b4962 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Learning chaotic dynamics by neural networks
Reference 1
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Observation 81a749db-95b3-454d-a4f9-88d68602f235 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Hamiltonian Systems and Transformation in Hilbert Space
Reference 2
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Observation 9820e707-9483-4522-9436-e7cb5e4a2dbd · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Applied koopmanism
Reference 3
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On the Generalisation of Koopman Representations for Chaotic System Control Transformers for modeling physical systems
Reference 4
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Observation 66edf371-4ef8-42b0-b4d7-b6cbf4d084aa · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Unresolved cited work
Reference 5
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Observation 3249834e-701e-4a34-ac99-b402864117a0 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Attention is all you need
Reference 6
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Observation 8ec2e621-34e2-4e44-b814-b64b8ea8177b · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Universal Language Model Fine-tuning for Text Classification
Reference 7
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Observation 33cd442e-42ef-4823-9db5-c601f685c826 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Improving language un- derstanding by generative pre-training
Reference 8
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On the Generalisation of Koopman Representations for Chaotic System Control Robot learning with sensorimotor pre-training
Reference 9
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Observation 30e1f064-cc96-4c8f-8cd0-f351e901ed20 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Dynamics of partial control
Reference 10
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Observation cac1d91b-5749-4d21-92f4-4daec89a25b0 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Partially controlling transient chaos in the Lorenz equations
Reference 11
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Observation 47e49a04-354b-4ec5-a687-f472f90ccf60 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control AI-driven control of chaos: A transformer-based approach for dynami- cal systems
Reference 12
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Observation bf87b103-5368-4f2a-832b-1eebbbd29b1e · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Deterministic Nonperiodic Flow 1
Reference 13
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Observation 7f99ff95-4d6e-4c6f-9310-f171a72d031a · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Modeling the dynamics of PDE systems with physics- constrained deep auto-regressive networks
Reference 14
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Observation e3c90d88-41eb-4d85-b70c-7889049a9236 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control On the concept of attractor
Reference 15
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Observation 678e4f05-bb98-454d-975b-4126db42f965 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control A data–driven approximation of the koopman operator: Extending dynamic mode decomposition
Reference 16
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Observation ee662f8c-45c2-4eb0-aef6-e1737a330f3a · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Relational inductive biases, deep learning, and graph networks
Reference 17
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Observation c21e478f-5a3a-4de1-808b-5f8607ad7945 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Physics-Informed Koopman Net- work for time-series prediction of dynami- cal systems
Reference 18
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Observation 3b7b1447-6439-40b6-b15a-e4a75d6ef1c6 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Curriculum Learning
Reference 19
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Observation 1096b1e9-6f57-4eb4-94ec-03d89b55d088 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Transfer learning for nonlinear dynamics and its application to fluid turbulence
Reference 20
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On the Generalisation of Koopman Representations for Chaotic System Control Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation- based transfer learning
Reference 21
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On the Generalisation of Koopman Representations for Chaotic System Control Language mod- els are unsupervised multitask learners
Reference 22
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Observation c7ce590c-e8c1-4d96-9e5e-0c6782d1841b · outbound
On the Generalisation of Koopman Representations for Chaotic System Control On layer normalization in the trans- former architecture
Reference 23
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Observation 2730b3ce-2a87-4274-a495-27d493b99fb1 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control A learning al- gorithm for continually running fully recurrent neural networks
Reference 24
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Observation c53945ce-6bef-4e87-9775-90b00801ebe4 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Phantom oscillations in principal component analysis
Reference 25
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Observation 03ef0a2e-65b9-42c0-a40a-d13cdc3b24aa · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Unresolved cited work
Reference 26
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On the Generalisation of Koopman Representations for Chaotic System Control Individual comparisons by rank- ing methods
Reference 27
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Observation 72b02d01-6544-4bf2-b7e4-236badc13b5b · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Multiple Comparisons Among Means
Reference 28
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Observation 9aa470dd-aff7-4421-8e57-caa0a43b7f6f · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Stable and unstable regions of the Lorenz system
Reference 29
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Observation e5349e2b-b0f6-48c9-9826-71e707b3bf70 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Learn- ing chaotic dynamics with embedded dissipa- tivity
Reference 30
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Observation e515b366-a8f2-4f0e-8f9e-e3f17f195957 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Sabatelli
Reference 31
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Observation 7ae13d29-204f-4036-9037-ce81fc4b14d4 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Con- trol barrier functions: Theory and applica- tions
Reference 32
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Observation 578dd40c-d1c7-4fa9-b51e-2f381540aee7 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control SciPy 1.0: Fundamental Algorithms for Scientific Com- puting in Python
Reference 33
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Observation ecfaca01-a459-413d-a718-8d62a8321c6d · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Fehlberg
Reference 34
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Observation 8978bfbb-e6d3-4961-8775-8766825a0bc0 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Rectified Lin- ear Units Improve Restricted Boltzmann Ma- chines
Reference 35
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Observation 19e719cd-6aca-4bf3-833d-5e13eeca9e0b · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Gaussian Error Linear Units (GELUs)
Reference 36
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Observation ca3689ec-dafa-453b-84e7-40400dc975ee · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Optuna: A Next-Generation Hy- perparameter Optimization Framework
Reference 37
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On the Generalisation of Koopman Representations for Chaotic System Control Algorithms for Hyper-Parameter Opti- mization
Reference 38
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Observation 305bff7a-9813-4366-81b7-a05a59c2632c · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Adam: A Method for Stochastic Optimization
Reference 39
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On the Generalisation of Koopman Representations for Chaotic System Control Decoupled Weight Decay Regularization
Reference 40
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Observation d1d65bc5-2210-431f-a851-a3bbc4294d86 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control PyTorch: An Imperative Style, High-Performance Deep Learning Li- brary
Reference 41
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On the Generalisation of Koopman Representations for Chaotic System Control Zaharia et al
Reference 42
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On the Generalisation of Koopman Representations for Chaotic System Control They are obtained by applying a Principal Component Analysis (PCA) transformation to the original state vector s
Reference 46
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Observation d6a3841e-fd3f-415b-8038-3a2906cf7dae · outbound
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Reference 47
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Reference 48
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Reference 49
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On the Generalisation of Koopman Representations for Chaotic System Control Unresolved cited work
Reference 50
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On the Generalisation of Koopman Representations for Chaotic System Control Unresolved cited work
Reference 51
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On the Generalisation of Koopman Representations for Chaotic System Control Unresolved cited work
Reference 52
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Observation 9213c28c-d2ef-4605-98ad-bffdb20760fb · outbound
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Reference 53
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Reference 1031
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Observation 1ad840ed-fa6d-4b23-b8ee-45b46dc29043 · outbound
On the Generalisation of Koopman Representations for Chaotic System Control Unresolved cited work
Reference 2631
Source-reported events for the cited work
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No inbound Pith citation observations are available.