Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:37:37.454167Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 1 inbound Pith citation observation for arXiv:2412.09942.
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 2026-08-11T16:37:37.454167Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:24:22.294094Z
A source-named dated measurement, never combined with another source.
Source: cited_works
81 of 81 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 76f0a535-dbd4-49fb-93f3-fc98df09f1b3 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Aggelogiannaki and H
Reference 1
Source-reported events for the cited work
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Observation 4b148d73-7c57-43e6-ac21-6c9c416c1013 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Control of high-dimensional collective dynamics by deep neural feedback laws and kinetic modelling
Reference 2
Source-reported events for the cited work
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Observation 1a7fd4d9-1ff8-4a0a-aae0-8fe38f8ece23 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 3
Source-reported events for the cited work
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Observation dfa7b342-8057-4223-a6c1-7aa0fbc58a4c · outbound
Reference 4
Source-reported events for the cited work
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Observation 7210bfbe-4330-453f-bea2-d6e7cf45a7eb · outbound
Reference 5
Source-reported events for the cited work
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Source-reported events for the cited work
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Source-reported events for the cited work
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Observation 938557d9-95fc-4e28-9297-70992dcc65e1 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 8
Source-reported events for the cited work
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Reference 9
Source-reported events for the cited work
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Observation 6c7e710b-3f06-40b4-a5f4-7bda3e61a7bd · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 10
Source-reported events for the cited work
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Reference 11
Source-reported events for the cited work
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Reference 12
Source-reported events for the cited work
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Reference 13
Source-reported events for the cited work
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Observation 4afa14a5-467c-4eae-9ab4-c6cebf09324e · outbound
Reference 14
Source-reported events for the cited work
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Observation a1d0b86c-bcdc-4722-8487-d5cb799bcbeb · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
Reference 15
Source-reported events for the cited work
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Observation d1c6bcd9-16c8-4069-a108-5e81bc6eda16 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Brunton and J
Reference 16
Source-reported events for the cited work
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Observation 1f2cbb90-fcec-493a-8090-d4de5108a1cc · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 17
Source-reported events for the cited work
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Observation e474c88b-0f5e-4da5-a51c-93d665cabda3 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 337be92b-0f13-4061-8e3f-5727550850dd · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation 8819d20d-1304-4357-8c89-f84d89ef1906 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 20
Source-reported events for the cited work
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Reference 21
Source-reported events for the cited work
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Observation c8930833-56c5-4271-a2ad-fe0b3a47fdf6 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Camacho and C
Reference 22
Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Optimal Control Via Neural Networks: A Convex Approach
Reference 23
Source-reported events for the cited work
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Observation d58728ff-d7ba-41a3-9945-342a8d296238 · outbound
Reference 24
Source-reported events for the cited work
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Observation 537447a7-7877-4737-bdcf-e7d183f8e7b5 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 25
Source-reported events for the cited work
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Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Fresca and A
Reference 27
Source-reported events for the cited work
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Observation ac80d9d5-c7ba-4190-8507-a21f981f1a70 · outbound
Reference 28
Source-reported events for the cited work
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Observation 2aacd60c-d660-4054-830e-aeeb1bffe6e0 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Geuzaine and J.-F
Reference 29
Source-reported events for the cited work
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Observation b82d1aa2-da93-462d-8f0b-2e1c18bcf2f0 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Ghiglieri and S
Reference 30
Source-reported events for the cited work
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Reference 31
Source-reported events for the cited work
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Observation f18f60a8-4de9-4a10-93c7-7ea31d2d6082 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 32
Source-reported events for the cited work
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Observation a1d008fd-ed0b-4d0f-83dc-798cee76340c · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Hesthaven and S
Reference 33
Source-reported events for the cited work
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Observation dac1d858-b44d-4336-917a-476f7f09153c · outbound
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Reference 34
Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 35
Source-reported events for the cited work
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Observation 2e06aa5d-ebee-4a04-9104-311e9a1fd1a0 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Hüttenrauch, A
Reference 36
Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Flow control by a hybrid use of machine learning and control theory
Reference 37
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality
Reference 38
Source-reported events for the cited work
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Reference 39
Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 40
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Reference 41
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Observation e3583a22-06da-4045-9463-b815b379a331 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Kunisch and S
Reference 42
Source-reported events for the cited work
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Observation 483c14b8-e22a-46cd-b405-d322f33f005b · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Kunisch and S
Reference 43
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Reference 44
Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Leibfritz and S
Reference 45
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Reference 46
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators
Reference 47
Source-reported events for the cited work
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Observation 1ccca447-caed-4450-8f44-5ea7cc0905b3 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 48
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Observation 7e6636f5-d63e-4750-a69d-9ef5115823ff · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Manzoni and S
Reference 49
Source-reported events for the cited work
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Reference 50
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Observation 9ef6535a-47d2-4045-aeb5-5293eee83d5c · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Mirzakhanloo, S
Reference 51
Source-reported events for the cited work
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Observation dff156e9-f8a7-4fd5-9619-1eae125b4968 · outbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Unresolved cited work
Reference 52
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Reference 53
Source-reported events for the cited work
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Reference 54
Source-reported events for the cited work
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Reference 55
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Reference 56
Source-reported events for the cited work
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Reference 57
Source-reported events for the cited work
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Reference 58
Source-reported events for the cited work
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Reference 59
Source-reported events for the cited work
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Reference 61
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Rosafalco, J
Reference 62
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Reference 63
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Reference 64
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Reference 65
Source-reported events for the cited work
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Reference 66
Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Sinigaglia, A
Reference 67
Source-reported events for the cited work
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Reference 68
Source-reported events for the cited work
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Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Sinigaglia, D
Reference 69
Source-reported events for the cited work
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Source-reported events for the cited work
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Reference 71
Source-reported events for the cited work
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Reference 72
Source-reported events for the cited work
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Reference 73
Source-reported events for the cited work
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Reference 74
Source-reported events for the cited work
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Reference 75
Source-reported events for the cited work
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Reference 76
Source-reported events for the cited work
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Reference 77
Source-reported events for the cited work
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Reference 78
Source-reported events for the cited work
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Reference 79
Source-reported events for the cited work
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Reference 80
Source-reported events for the cited work
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Reference 81
Source-reported events for the cited work
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Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models
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Source-reported events for the cited work
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