Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T19:40:23.140506Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.16894.
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 2026-08-01T19:40:23.140506Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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
13 of 13 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a1bc706f-e97d-495f-81fa-151e2d4a3620 · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9c7dfd1-8184-437a-ba77-896f29e819f4 · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df811b62-bee4-45b6-b13b-4ffe03cc9aef · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f7a85e6-5e6e-4b26-a961-dc79366d0660 · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c53c2cf5-6e34-4abd-a656-9be4612b60fd · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Graph generation with spectral geodesic flow matching
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d77c1bb-a8af-4f35-aaf1-d22cce3d5dbf · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Scalable Generative Modeling of Weighted Graphs
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96d0391e-20e3-4a14-9bf5-89a47dcf8e21 · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching (48)), applied slice-by-slice with (ˆz1,i−1,ˆz1,i)in place of(z f 1,1,ˆzf 1,1), ˆz1,i −ˆz1,i−1 2 2 = X k σ−2 k ϕ( ˆΘi)k −ϕ( ˆΘi−1)k 2
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0178c22-1336-4ba1-9c81-c3ea40d8cedd · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching • cV AE: a conditional V AE (latent32–64, hidden 256–512, KL weight 10−3), 300–500 epochs, learning rate10 −3
Reference 128
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07335520-e2ae-42c2-9941-032833971078 · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ab22a9f-7f50-4424-ba6a-c0b5d457d977 · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Let EEG Models Learn EEG
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94276411-76c5-4aaa-b0a9-33eb6c62bb3d · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Kobler, Antoine Collas, Motoaki Kawanabe, Cuntai Guan, and Bertrand Thirion
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ea139f0-056d-485c-986f-037af882ec1b · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Flow Matching Guide and Code
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0835bcd7-b439-4fec-8111-2fc8d9cecbea · outbound
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Ricardo Pio Monti, Peter Hellyer, David Sharp, Robert Leech, Christoforos Anagnostopoulos, and Giovanni Montana
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.