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Paper Citation Record · LEDGER

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching

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.

pith.paper-citation-record.v1
2607.16894 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:40:23.140506Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1bc706f-e97d-495f-81fa-151e2d4a3620 · outbound

This paper cites an unresolved cited work.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.915908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.915908Z digest=sha256:2126bac124feedd0896418d47e02079cc1ebf67c005dd99295ab6b86c560e000

Observation c9c7dfd1-8184-437a-ba77-896f29e819f4 · outbound

This paper cites an unresolved cited work.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.961927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.961927Z digest=sha256:0a45c10739a154cff0b91d2fc90cb45f91a0ecbf970580678eaaf16e059d73d7

Observation df811b62-bee4-45b6-b13b-4ffe03cc9aef · outbound

This paper cites Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.563177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.563177Z digest=sha256:f4c0888f4bb053e5e38b3d2b0827ab3c17177e95eabda4e5bfd6bf509926c08e

Observation 0f7a85e6-5e6e-4b26-a961-dc79366d0660 · outbound

This paper cites an unresolved cited work.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:23.015460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:23.015460Z digest=sha256:8bb8096e93f33f25ec02bac75b7ad0726dbce90cb262e8368d8b9b7ed3384240

Observation c53c2cf5-6e34-4abd-a656-9be4612b60fd · outbound

This paper cites Graph generation with spectral geodesic flow matching.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Graph generation with spectral geodesic flow matching

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.811283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.811283Z digest=sha256:dfe9863c295c661be2bf63a7f81e748c126a0e9e0f5797ea09c8e949589c15bf

Observation 8d77c1bb-a8af-4f35-aaf1-d22cce3d5dbf · outbound

This paper cites Scalable Generative Modeling of Weighted Graphs.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Scalable Generative Modeling of Weighted Graphs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.845288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.845288Z digest=sha256:40367cf5172f503f2e9a2b87ca8d1fa4906996caecbd198163865128588f44be

Observation 96d0391e-20e3-4a14-9bf5-89a47dcf8e21 · outbound

This paper cites (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.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:23.085475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:23.085475Z digest=sha256:97bd1c686d142e7444d4dc9d0c37b37f0a0deb63d0572dd5b4978f6ee886668c

Observation f0178c22-1336-4ba1-9c81-c3ea40d8cedd · outbound

This paper cites • cV AE: a conditional V AE (latent32–64, hidden 256–512, KL weight 10−3), 300–500 epochs, learning rate10 −3.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:23.140506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:23.140506Z digest=sha256:426881368b9f79db2155acc400da45335fdff76f0857af530d4ab410552d31bc

Observation 07335520-e2ae-42c2-9941-032833971078 · outbound

This paper cites an unresolved cited work.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Unresolved cited work

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.875252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.875252Z digest=sha256:84d77c238ac1f4eb3ad605ad34d4c1ec03902e5223799bb1ffb631aa86935d88

Observation 6ab22a9f-7f50-4424-ba6a-c0b5d457d977 · outbound

This paper cites Let EEG Models Learn EEG.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Let EEG Models Learn EEG

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.480676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.480676Z digest=sha256:51270e1ce5fe1f9a98f9b766b6d30fe7708f6afb33425fe4b66120a0c4b2203d

Observation 94276411-76c5-4aaa-b0a9-33eb6c62bb3d · outbound

This paper cites Kobler, Antoine Collas, Motoaki Kawanabe, Cuntai Guan, and Bertrand Thirion.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.679096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.679096Z digest=sha256:4f1834c492527cfc5d83941082db9fbf2c21cc62ed14f49072f9d5e7a82e2c19

Observation 7ea139f0-056d-485c-986f-037af882ec1b · outbound

This paper cites Flow Matching Guide and Code.

TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching Flow Matching Guide and Code

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.429857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.429857Z digest=sha256:7d6e8e7691cb4f69ad87a3cfe8df60fb5be9fa39cc4f62b01e07516aabc7e2a0

Observation 0835bcd7-b439-4fec-8111-2fc8d9cecbea · outbound

This paper cites Ricardo Pio Monti, Peter Hellyer, David Sharp, Robert Leech, Christoforos Anagnostopoulos, and Giovanni Montana.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T19:40:22.359330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:40:22.359330Z digest=sha256:2b65d31b776636f9e86dda52e3d035fea04b73eaa9c7d8f25f433eed8c4a70a5

Pith citing papers

No inbound Pith citation observations are available.