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Paper Citation Record · LEDGER

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2505.18647.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.18647 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:55.441551Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:35:02.385371Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:35:02.683481Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact4
  • verified fuzzy30
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc37f89f-4632-4313-8eff-36e67b571884 · outbound

This paper cites Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, and Eric Vanden-Eijnden.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, and Eric Vanden-Eijnden

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:04.926674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:48.983570Z digest=sha256:c9c40512180bb15a0a99c9fc410b0ccd3fb76f6b04b0dd73cbf59af165c6ea42

Observation be35876e-68ad-4184-9777-c1b98b20871c · outbound

This paper cites Social ways: Learning multi-modal distributions of pedestrian trajectories with gans.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Social ways: Learning multi-modal distributions of pedestrian trajectories with gans

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:04.677835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.030385Z digest=sha256:0b39e353236ac78dfa438029e50a7291ad3bd567c645298cd44bab8c3b00b6fa

Observation 818f9b8c-d3cc-4e05-923a-92a201127c6e · outbound

This paper cites Interaction networks for learning about objects, relations and physics.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Interaction networks for learning about objects, relations and physics

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:04.490566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.111984Z digest=sha256:466a5110a0babff58ac8c55cccb911b6dc8875523756f72d1248208ea91efcb7

Observation 6b51d459-8916-44bc-8253-c488dbe6e9a4 · outbound

This paper cites an unresolved cited work.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:34:04.329851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.174499Z digest=sha256:5ff394d77e294397930368bf73fbfd3a4b9c35dd017fe71960303ea4e46c266b

Observation a90f454c-95c3-4cd0-aeed-dbf05560c7c7 · outbound

This paper cites Geometric and Physical Quantities Improve E(3) Equivariant Message Passing.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:49.253471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:49.253471Z digest=sha256:ec92176fceadc3d5a45810c0663f078da9f10f41312e97d209dd6b2984151182

Observation 7d87b125-f6b1-41c2-9c94-0d748dd93084 · outbound

This paper cites Worrall, and Max Welling.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Worrall, and Max Welling

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:04.207830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.354741Z digest=sha256:3184551d8a48b5e86890d3455282d1f6e91493e815fac46b8959e789de6c2a82

Observation e86ce0d6-7052-49b4-befb-a428c9b9d1d6 · outbound

This paper cites The gravitational billion body problem.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation The gravitational billion body problem

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:03.990551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.423592Z digest=sha256:0d836591ff89da212ba58b93cd068e83eeed6ca1994eefb40bb0a243d6c5020d

Observation 85e8cbb0-1549-4b34-b76e-ab7036afc159 · outbound

This paper cites DY ffusion: A dynamics-informed diffusion model for spatiotemporal forecasting.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation DY ffusion: A dynamics-informed diffusion model for spatiotemporal forecasting

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:03.816193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.482111Z digest=sha256:617bd5487b17ca68d291b7620772a1611322d7c2527045c48d70daaba1b184c5

Observation 25aa71b1-1e6b-4988-baa6-0b7c2c27b285 · outbound

This paper cites Sauceda, Igor Poltavsky, Kristof T.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Sauceda, Igor Poltavsky, Kristof T

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:49.541871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:49.541871Z digest=sha256:7b4fede3ec4ae4dabb4bf779465d1dbb25ad44fad6eb5eaffa820a20af28cb52

Observation 7a4b7967-f8eb-4387-b825-a0a8f84e97d0 · outbound

This paper cites Discovering symbolic models from deep learning with inductive biases.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Discovering symbolic models from deep learning with inductive biases

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:03.580132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.607726Z digest=sha256:08e5f2d93b7560663dfe6edd19307f83b3db5363d0d99fa11f948a8b1fa4356b

Observation f5b76b29-6117-4f92-aa90-0a3f3b16b095 · outbound

This paper cites Point cloud approach to generative modeling for galaxy surveys at the field level.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Point cloud approach to generative modeling for galaxy surveys at the field level

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:03.342593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.674047Z digest=sha256:0f18c5332830bc402dd7dda69a6aefc933c3024ac3d4caf69bd82df2663d9af2

Observation 1b1e766b-7e00-4edc-b659-e98a5bb68d97 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Diffusion Models Beat GANs on Image Synthesis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:49.758097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:49.758097Z digest=sha256:b041aa3a87c8debb69331ca85ecb85dc0eb7188905265dcfe53696f06878d838

Observation 09abbbc6-f995-4dfb-96b3-192c902bd7ee · outbound

This paper cites SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:49.830652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:49.830652Z digest=sha256:2c769995d41485948cbb0304a14320e1e390a421d7ccd4f0a7536cb15dab4f85

Observation ad809e25-26ed-423d-ba93-d4cefd584c5e · outbound

This paper cites Deep learning for dynamic graphs: models and benchmarks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Deep learning for dynamic graphs: models and benchmarks

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:03.096897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.886156Z digest=sha256:109ef79a93873c75e35518075a7c00222eb7685506d8b7eeb2a448941ee43726

Observation 8629b698-661b-41c1-a252-078a7f10fad7 · outbound

This paper cites Stochastic trajectory prediction via motion indeterminacy diffusion.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Stochastic trajectory prediction via motion indeterminacy diffusion

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:02.852296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:49.954853Z digest=sha256:a68ba6e76f54babee4bf21a4a0eaa8955edac16603a83c51487a6644c3b5875b

Observation ad1663ef-7449-4545-8546-e60ba1699d25 · outbound

This paper cites Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:50.024874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:50.024874Z digest=sha256:bd4a9dcd1c53dd290849767a1bc822ce6293921d2ae29b98905c3c37643ef285

Observation 60b51840-8498-49a3-85ac-eac771cf89f6 · outbound

This paper cites Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:50.112263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:50.112263Z digest=sha256:d2d9b6a05883dd7374b1b16faa1cde8da10056565c7e02b9a4eab785b4d08e1f

Observation 1043714e-cfc7-4302-af2a-667244940c46 · outbound

This paper cites Learning modular simulations for homogeneous systems.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Learning modular simulations for homogeneous systems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:02.626931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:50.281538Z digest=sha256:83923f0663950b8acd7582a3f073b87998a1ddab2a69aa6c1f3d8af835f3a169

Observation 98a3621f-a5ca-4e00-9cf4-c353d69a3607 · outbound

This paper cites Geometric Trajectory Diffusion Models.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Geometric Trajectory Diffusion Models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:02.453215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:50.506329Z digest=sha256:7625357cf8f035afe1d324b8d487c28b1995408931d703925c541a8806ff7e8c

Observation 83e5bc1f-5d13-4d2f-b116-544c0fad2d70 · outbound

This paper cites an unresolved cited work.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Unresolved cited work

Reference 20

Resolution
verified exact
doi, observed 2026-08-07T14:33:56.055190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:50.657506Z digest=sha256:2587bddd3c9e97721cf1c4fa4dca52abe304312ea20637e9c33f5c57fdc531d5

Observation 97b76bc1-536d-4166-84e4-f882da9c91ef · outbound

This paper cites Denoising diffusion probabilistic models.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Denoising diffusion probabilistic models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:50.811835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:50.811835Z digest=sha256:ad99a51330cc59e4c455fb0e736eb11d761b64f344a1e31e509cfd261b96b589

Observation 708d8c25-3614-46bd-b665-11585af13d7f · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:50.945008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:50.945008Z digest=sha256:1330bca364891ff9926be2cb73ce129b53827925f3adec8a16c9c2ee73de6eca

Observation 85a49e5c-77ab-4b7b-9214-45cbb1f1f464 · outbound

This paper cites Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, and Tim Salimans.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, and Tim Salimans

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:02.200591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:51.069381Z digest=sha256:92dbe705843d51e03e63e5f7408a38b57a6223c2ba8b6df8bb3eb4e7163a8f60

Observation 8ed0fb91-95f2-4d0a-9b33-bda261c6033f · outbound

This paper cites Neural Relational Inference for Interacting Systems.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Neural Relational Inference for Interacting Systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:51.166387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:51.166387Z digest=sha256:e66733e0b8a26d8ab371a025d75b4f85412a6a6e7fe072396f0f6d870784c9d5

Observation 31be3da6-111b-48ae-b83a-e81722d860d3 · outbound

This paper cites Equivariant flow matching.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Equivariant flow matching

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:02.030813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:51.284240Z digest=sha256:5f9bc7f9485884265ec27bc87681605fbb615e1614b69b84967de2db2ef14acc

Observation 902d67d1-65d6-4893-9128-201092a2fc10 · outbound

This paper cites Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:51.403931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:51.403931Z digest=sha256:138d7fc6fdf14f035639936b0bdd2c5d89dfba37d5a5251d8b53be5854e1fc2d

Observation 4de34d8b-be3d-4946-9d06-c150ff6e701a · outbound

This paper cites an unresolved cited work.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:51.498293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:51.498293Z digest=sha256:82f3daee809888ae1d618e2be8214edc447f9de6be4ec2fe8c83b8bd8b2cb11e

Observation 50d49c3d-6322-4900-88a7-c74bde38415b · outbound

This paper cites Rediscovering orbital mechanics with machine learning.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Rediscovering orbital mechanics with machine learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:51.622457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:51.622457Z digest=sha256:dd47b5daf1099c011a3625b8e36b637620da4451a0ba0b055eebe61978010ea3

Observation 73144fbc-b443-405b-805d-a8a0b7f7cb6e · outbound

This paper cites Crowds by example.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Crowds by example

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:51.754894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:51.754894Z digest=sha256:a95e70a64de42b0bb5783593cb9f4dacd6bf0f071cf255525fbe356398cddbd9

Observation 1a53cbc2-90b2-48e2-b201-8236e15ab377 · outbound

This paper cites an unresolved cited work.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:34:01.818906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:51.877988Z digest=sha256:282d31108640a7fc714049c9fa2f41dc77d598d1625497f1eb3a07742b238f86

Observation df6807fd-7ba4-4891-a601-9f9f02013184 · outbound

This paper cites Pde-refiner: Achieving accurate long rollouts with neural pde solvers.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Pde-refiner: Achieving accurate long rollouts with neural pde solvers

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:01.648954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:51.968575Z digest=sha256:db0d9c54d6f045b795eb28cde480042595cb74897bb1168f5bf16822a07d17da

Observation 60ca41cc-dcdb-45f1-ae13-d2c6055e0d4e · outbound

This paper cites HOPE : High-order graph ODE for modeling interacting dynamics.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation HOPE : High-order graph ODE for modeling interacting dynamics

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:01.451045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:52.087186Z digest=sha256:abb5ab5ae67ba14b0d914248891320159cbfe74c35041fbf70cd443ec3732dfb

Observation 27e495ba-8967-4df5-a66d-8938846b58fa · outbound

This paper cites PGODE : Towards high-quality system dynamics modeling.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation PGODE : Towards high-quality system dynamics modeling

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:01.264065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:52.213743Z digest=sha256:d9d831abd8d74e16dccc4ebe236d5bef68399ae0931664697cfbe79c1a502a27

Observation 45633cce-70ba-401d-a2fa-f1ea3a669546 · outbound

This paper cites It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:52.331291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:52.331291Z digest=sha256:e48cefb66ce08fa392acde24fc16ff99d818ce1a8aa26928f015eb856899ddf7

Observation 6722302a-9d6d-44be-95a7-e5f907fffdf5 · outbound

This paper cites Leapfrog diffusion model for stochastic trajectory prediction.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Leapfrog diffusion model for stochastic trajectory prediction

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:01.020682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:52.456984Z digest=sha256:59696c42453437b1f4332d76c8c905aa7a098d55af7b79b8f2db8982d26421fb

Observation a6978009-5497-4569-8529-16cff6284b7c · outbound

This paper cites Koop, and Vlado Menkovski.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Koop, and Vlado Menkovski

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:00.815919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:52.583890Z digest=sha256:aed7ff4707ad873cf9440a669e3efa369aaae2367ca3932860e0899a92b3669f

Observation 20ff66d2-c344-4cc2-8df1-a3c5ec57dcba · outbound

This paper cites Discovering interaction mechanisms in crowds via deep generative surrogate experiments.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Discovering interaction mechanisms in crowds via deep generative surrogate experiments

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:00.639108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:52.685328Z digest=sha256:a4723f7f88da5d6ba3f42abd5ee04ed3570f9922a7e9ff3470a94e10506b632e

Observation b39653a8-5fda-4468-8737-688c7157a70c · outbound

This paper cites Newtonian scene understanding: Unfolding the dynamics of objects in static images.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Newtonian scene understanding: Unfolding the dynamics of objects in static images

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:00.379289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:52.859741Z digest=sha256:9798ad2f637b328a1d71e5076e771b7f1028de1e4b7f40c45828030d3cdcc978

Observation c8d4b779-8398-47a5-bfdf-6b7941707937 · outbound

This paper cites Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:52.987205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:52.987205Z digest=sha256:f5f47c0c227c75f1ae7624f139fd7f4034b03ee55763f224b3beb767b5156973

Observation 009558f8-a4e8-49ab-9498-a1be897cfbb8 · outbound

This paper cites Pellegrini, A.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Pellegrini, A

Reference 40

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:33:57.717311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:53.105131Z digest=sha256:09348b9bbe045aafe1b3532aa0820e7f85baddc475e5f84ee9ebbdb565eb016e

Observation 8a400ae4-4807-4e9f-86ba-0ebd97d6c7fd · outbound

This paper cites Clifford group equivariant neural networks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Clifford group equivariant neural networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:00.164615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:53.263321Z digest=sha256:ba94dee41e301057c8712b45c77fa538beddab5b0337bfe210e31c8043c5e396

Observation 1addda5f-d7b9-4770-8010-91723f00f4a1 · outbound

This paper cites Rolling diffusion models.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Rolling diffusion models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:59.906605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:53.401029Z digest=sha256:9b24c0f5ed93cab9d8b06fedb5d50e9e811827833fb773281d116f9798c6c38a

Observation 1ed1beb4-5a89-41df-972d-a845836d4028 · outbound

This paper cites Deepar: Probabilistic forecasting with autoregressive recurrent networks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Deepar: Probabilistic forecasting with autoregressive recurrent networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:53.511798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:53.511798Z digest=sha256:aa9c27392bc7751ae90b6254525af99315af58aff32f52d238a03e398cb9f2c4

Observation 62f899ec-8633-4e28-89d6-4a34f3ef9e0f · outbound

This paper cites Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:53.611243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:53.611243Z digest=sha256:858ebd027212ba8a396cf123ab275942dfc812f63d543cc81bcd2f56dca5014a

Observation b218567d-4c82-4181-9cb3-2e8bec1037a1 · outbound

This paper cites Learning to simulate complex physics with graph networks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Learning to simulate complex physics with graph networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:59.672260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:53.688257Z digest=sha256:436c49acf0cf96020aee28ebe2dcaef74fb00a47ed59d7ec44044c24d7a4eac8

Observation 232818ef-c311-4389-ba11-599feadb2b95 · outbound

This paper cites E(n) Equivariant Graph Neural Networks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation E(n) Equivariant Graph Neural Networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:59.446109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:53.839198Z digest=sha256:a8ee9279676cba244489c0039dd17e1b9e3970dc064ff31614ff41fc05336ff8

Observation f0362706-cdfd-4d6e-9477-0883896acba6 · outbound

This paper cites Improved sampling of diffusion models in fluid dynamics with tweedie's formula.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Improved sampling of diffusion models in fluid dynamics with tweedie's formula

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:59.212018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:53.954030Z digest=sha256:601c75f86f94fab19aabf7ad65c75f1ff3c05f55702ae88c119c6dac04fc4e87

Observation 37692e07-adab-43e0-a3ca-b0faef83d33b · outbound

This paper cites Turner, and Emile Mathieu.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Turner, and Emile Mathieu

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:54.056965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:54.056965Z digest=sha256:68697e60a9226842d80ce0ccce3ddb38fa33456bc0e5e98a77ae92a0ca9f42ad

Observation 58a9faa1-f9f0-4fa9-87d2-1725c9617a49 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:54.136438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:54.136438Z digest=sha256:765544b341c21e547ff4ccb06123069518e4ae3860d991ab799f9c5a9b691956

Observation 17fbd709-6e11-4f62-b600-f96140e43b7f · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:54.338499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:54.338499Z digest=sha256:72b7548f76f30a3c8674b8d3dfa067a82ce6aa0a4e0a9d031ac9cccbf17f467d

Observation 4e7c7834-a720-4a9a-840e-3f03b03edfc5 · outbound

This paper cites Thompson, H.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Thompson, H

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:54.484000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:54.484000Z digest=sha256:942f67b21ea49c464644c2b198a40f1388ea3156899de1016ed8e4204356c9f8

Observation c5984e64-845a-4675-88cd-4b488c01dced · outbound

This paper cites Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, and Y.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, and Y

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:59.011398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:54.627542Z digest=sha256:9541aa706a5fd5c1d8281646254056c544bbc404154fce75e5e161be6b1b1f23

Observation b2f52d96-0727-4bcf-9809-e7f1000fc726 · outbound

This paper cites Pixel recurrent neural networks.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Pixel recurrent neural networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:58.792162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:54.728666Z digest=sha256:78d1a974583aa8fe433d5d62eca54da89954e932c43d61dba49e49f8a83cbeec

Observation f804fa28-4caf-4fbb-9438-df499d24e8ba · outbound

This paper cites Diffstg: Probabilistic Spatio - Temporal Graph Forecasting with Denoising Diffusion Models.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Diffstg: Probabilistic Spatio - Temporal Graph Forecasting with Denoising Diffusion Models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:58.592085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:54.810167Z digest=sha256:d3c0c1435606f0062243c09cf2bea5f5b795820b5a76c11c4d069270102d5561

Observation 0bbd9a5a-3922-42a8-bbba-dcceef17fa1e · outbound

This paper cites Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:33:56.904632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:54.876522Z digest=sha256:39e75fdd0501a336585ac5dc95d4cc0cef1274f63c3a9b0c643ec318c5c35ad9

Observation 73703a89-cc6b-4db6-9e1d-75c63d816f72 · outbound

This paper cites EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:33:56.698159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:54.974943Z digest=sha256:06ceb6f83b84788cea0e3e0c824fd3f924828f66647aaceefb85838e8105cb78

Observation 225ba814-6d0c-4325-8da1-d7c7d3ef3080 · outbound

This paper cites SocialVAE: Human Trajectory Prediction Using Timewise Latents, page 511–528.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation SocialVAE: Human Trajectory Prediction Using Timewise Latents, page 511–528

Reference 58

Resolution
verified exact
doi, observed 2026-08-07T14:33:55.724353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:55.055280Z digest=sha256:3e37fbaf251c84bd20018c1d481f2785099127c7898c96c7eb705fc374f068d8

Observation e116e02f-f2c4-4729-932f-fa09bf1a4b0a · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:55.216553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:55.216553Z digest=sha256:72bf11c33b3636fb530108070afc025ceb2f6daf57e45667fe0f27ad771330ec

Observation 3d748dc1-787b-41df-ab82-375cea324ba8 · outbound

This paper cites BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:33:56.325760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:55.342352Z digest=sha256:c05fbd624c3400ab2d68fdf20e771d8d589936266111c761abae2fcf61e4dc13

Observation b3c6a42d-8fb2-4010-8ba8-a627100e4634 · outbound

This paper cites Learning interacting dynamical systems with latent gaussian process ODE s.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Learning interacting dynamical systems with latent gaussian process ODE s

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:33:58.344446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:33:55.441551Z digest=sha256:f0fbb091d355d33ddd4529a0239ead7947fdd4498eaaad2f390eeab6c086960f

Pith citing papers

Observation b2cf4930-fd14-4fc7-9e3f-1c58b9aa37e4 · inbound

Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems cites this paper.

Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:35:02.689600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T16:35:02.385371Z digest=sha256:9f4b42949ce9c8f7795dbffad29c1600fca064a2cc4f778c3458da7266ef63a0

Observation 48aafeec-2184-4fc8-86ef-31f48413ac3c · inbound

Temporal Policy: History-Initialized Action Generation for Robotic Learning from Demonstration cites this paper.

Temporal Policy: History-Initialized Action Generation for Robotic Learning from Demonstration STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T06:17:35.685008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:17:35.685008Z digest=sha256:6dfe1c9779ef861cecf48ef1f63712548d3dd01c7675dce2c73a9140ab53cfc5