Paper Citation Record · LEDGER

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations

As of 7 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2506.06780.

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pith.paper-citation-record.v1
2506.06780 v1

Coverage vector

measured 53 of 53 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:07:40.926162Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:44.498589Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d08b7b45-1779-4d66-b671-0c0bc4450f48 · outbound

This paper cites Ceres Solver, 2023.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Ceres Solver, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.270639Z

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Observation 7e844210-2073-4c71-8db0-fe90c6398b54 · outbound

This paper cites Borisov and I.S.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Borisov and I.S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.258653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0f93923-065e-415c-b0d3-34b28b9a1fcc · outbound

This paper cites Continuous 3d scan-matching with a spinning 2d laser.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Continuous 3d scan-matching with a spinning 2d laser

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.248436Z

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Observation f0e682bb-30c5-41bb-8b15-6fca0b399db1 · outbound

This paper cites Deep regression on manifolds: a 3d rotation case study.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Deep regression on manifolds: a 3d rotation case study

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.237654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66b9f4f1-22f4-4580-bbf0-c23f3a2305da · outbound

This paper cites Cam- era pose filtering with local regression geodesics on the rie- mannian manifold of dual quaternions.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Cam- era pose filtering with local regression geodesics on the rie- mannian manifold of dual quaternions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.226487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d396ef0-0830-4bc3-ba9c-b65df751fdca · outbound

This paper cites Se3-nets: Learning rigid body motion using deep neural networks.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Se3-nets: Learning rigid body motion using deep neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.215519Z

Source-reported events for the cited work

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Observation 247e347b-bf4d-4522-b972-fa3936ce98c2 · outbound

This paper cites Projective manifold gra- dient layer for deep rotation regression.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Projective manifold gra- dient layer for deep rotation regression

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.203564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57a62271-e422-46e6-94be-8eaaebad04e0 · outbound

This paper cites an unresolved cited work.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:56:42.192406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b384126-1320-4d68-b821-63d16c37f1c5 · outbound

This paper cites Chen, Yulia Rubanova, Jesse Bettencourt, and David K Duvenaud.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Chen, Yulia Rubanova, Jesse Bettencourt, and David K Duvenaud

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.181601Z

Source-reported events for the cited work

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Observation 3af57082-1b32-4895-aaa2-0d0f2c132b00 · outbound

This paper cites Gru-ode-bayes: Continuous modeling of sporadically-observed time series.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Gru-ode-bayes: Continuous modeling of sporadically-observed time series

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.170434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02e99fb9-d938-410d-af7a-e3b1e99da649 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.159412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbd67865-f820-4c1d-b744-97de7f41b4ef · outbound

This paper cites Benchmarks and challenges in pose estimation for egocentric hand interactions with objects.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Benchmarks and challenges in pose estimation for egocentric hand interactions with objects

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.148608Z

Source-reported events for the cited work

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Observation 6c3da08c-4800-47d2-b54e-7c53e8685712 · outbound

This paper cites Auto- matic generation and detection of highly reliable fiducial markers under occlusion.Pattern Recognition, 47(6):2280– 2292, 2014.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Auto- matic generation and detection of highly reliable fiducial markers under occlusion.Pattern Recognition, 47(6):2280– 2292, 2014

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.137914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ef06c27-ef75-4826-b3ef-9d6488b1c421 · outbound

This paper cites Learning with 3d rotations, a hitchhiker’s guide to so (3).

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Learning with 3d rotations, a hitchhiker’s guide to so (3)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.126550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 992b283c-ceea-4019-9750-98a7ff298bdb · outbound

This paper cites Consistent parame- ter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing.Bernoulli, pages 1061–1098, 2012.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Consistent parame- ter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing.Bernoulli, pages 1061–1098, 2012

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.114686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64ff9ed9-a1c3-4a99-95ad-ce447c5bd2f5 · outbound

This paper cites Survey of higher order rigid body motion interpolation methods for keyframe animation and continuous-time trajectory estima- tion.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Survey of higher order rigid body motion interpolation methods for keyframe animation and continuous-time trajectory estima- tion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.103100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb489ae6-1bae-425e-8c79-26bd86521d1b · outbound

This paper cites Metrics for 3d rotations: Comparison and analysis.Journal of Mathematical Imaging and Vision, 35: 155–164, 2009.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Metrics for 3d rotations: Comparison and analysis.Journal of Mathematical Imaging and Vision, 35: 155–164, 2009

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.090950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8db997c0-43f1-4a47-8a3c-5e748a5c2fd6 · outbound

This paper cites Constrained 3d rotation smooth- ing via global manifold regression for video stabilization.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Constrained 3d rotation smooth- ing via global manifold regression for video stabilization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.077856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf0e0386-a343-4fed-b77a-6c536b9f39ef · outbound

This paper cites Geometric savitzky-golay filtering of noisy rotations on so (3) with si- multaneous angular velocity and acceleration estimation.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Geometric savitzky-golay filtering of noisy rotations on so (3) with si- multaneous angular velocity and acceleration estimation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.066470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ab94e4a-7959-4d85-9546-526d4d9722eb · outbound

This paper cites The oxford multimotion dataset: Multiple se (3) motions with ground truth.Robo.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations The oxford multimotion dataset: Multiple se (3) motions with ground truth.Robo

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.055027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef1b9807-4be6-4c42-8177-b9feea184eb4 · outbound

This paper cites Neural controlled differential equations for irregular time series.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Neural controlled differential equations for irregular time series

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.041827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a25e7ba4-7707-4c8c-a816-ded657d91052 · outbound

This paper cites A general construction scheme for unit quaternion curves with simple high order derivatives.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations A general construction scheme for unit quaternion curves with simple high order derivatives

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.030195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bae284a-15e3-4782-aaa5-fdf9d3214d5b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Adam: A Method for Stochastic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:41.481681Z

Source-reported events for the cited work

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Observation 8c1460d2-7fb1-4a7d-bcc7-0dde2245f4e9 · outbound

This paper cites 3d-rcnn: Instance- level 3d object reconstruction via render-and-compare.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations 3d-rcnn: Instance- level 3d object reconstruction via render-and-compare

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.017829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ad87f79-046f-47d0-b39a-6d0eab6cbe24 · outbound

This paper cites Computationally efficient rigid-body gaussian process for motion dynamics.Robo.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Computationally efficient rigid-body gaussian process for motion dynamics.Robo

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:42.005825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 507b979b-7406-46c5-ae08-4214204b057c · outbound

This paper cites Gaussian process kernels for rotations and 6d rigid body motions.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Gaussian process kernels for rotations and 6d rigid body motions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.992676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b1404f1-76f5-411e-98f0-e1e967c01f10 · outbound

This paper cites Global formulations of lagrangian and hamiltonian dynamics on manifolds.Springer, 13:31, 2017.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Global formulations of lagrangian and hamiltonian dynamics on manifolds.Springer, 13:31, 2017

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.978769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7bbde17-503e-4a9a-8195-9aea65004364 · outbound

This paper cites An analysis of svd for deep rotation estimation.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations An analysis of svd for deep rotation estimation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.965660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48f2572e-37e2-48ec-bfde-f5def2159a6e · outbound

This paper cites Incorporating Control Inputs in Continuous-Time Gaussian Process State Estimation for Robotics.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Incorporating Control Inputs in Continuous-Time Gaussian Process State Estimation for Robotics

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:56:41.666312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 395a123c-0e20-4f2b-8cf0-4003464ab42e · outbound

This paper cites Spline fusion: A continuous-time representation for visual- inertial fusion with application to rolling shutter cameras.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Spline fusion: A continuous-time representation for visual- inertial fusion with application to rolling shutter cameras

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.951911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 299c295c-11a4-4587-8e1b-38eee974b8dc · outbound

This paper cites Dynamic grasp and trajectory planning for moving objects.Autonomous Robots, 43:1241–1256, 2019.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Dynamic grasp and trajectory planning for moving objects.Autonomous Robots, 43:1241–1256, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.939443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7e7400a-1f65-43bb-a947-bffed6bc84d3 · outbound

This paper cites Learn- ing to predict 3d rotational dynamics from images of a rigid body with unknown mass distribution.Aerospace, 10(11): 921, 2023.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Learn- ing to predict 3d rotational dynamics from images of a rigid body with unknown mass distribution.Aerospace, 10(11): 921, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.927226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 564cbc42-e868-4f97-9385-faf4f66320d3 · outbound

This paper cites On the choice of interpolation scheme for neural cdes.Trans.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations On the choice of interpolation scheme for neural cdes.Trans

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.915209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49cefaed-b7bb-467a-a8e9-e94392d110e3 · outbound

This paper cites Orb-slam: A versatile and accurate monocular slam system.IEEE transactions on robotics, 31(5):1147–1163,.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Orb-slam: A versatile and accurate monocular slam system.IEEE transactions on robotics, 31(5):1147–1163,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:41.526088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0508e90-7300-4572-bee6-209a28a0bcc0 · outbound

This paper cites Noise modeling and analysis of an imu-based attitude sensor: improvement of performance by filtering and sensor fusion.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Noise modeling and analysis of an imu-based attitude sensor: improvement of performance by filtering and sensor fusion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.895237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ab12b03-31b2-4b5a-ba44-b65f70f0fa2e · outbound

This paper cites Kinematic state estimation and motion planning for stochastic nonholonomic systems using the ex- ponential map.Robotica, 26(4):419–434, 2008.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Kinematic state estimation and motion planning for stochastic nonholonomic systems using the ex- ponential map.Robotica, 26(4):419–434, 2008

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.883067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bcb7bd8-e5ff-4593-ac6a-23e87515631c · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Pytorch: An imperative style, high-performance deep learning library

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.871119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47abcce3-9370-4305-ba8d-a16454b9c5a2 · outbound

This paper cites Nicholas Greene, David Rosen, Jonathan Kelly, and Nicholas Roy.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Nicholas Greene, David Rosen, Jonathan Kelly, and Nicholas Roy

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.858949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57e87ef6-5c54-40cd-8ca3-68ea879f5261 · outbound

This paper cites Practical pose trajectory splines with explicit reg- ularization.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Practical pose trajectory splines with explicit reg- ularization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.846824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7266fa6-46d1-457b-83bc-d5a3b4190321 · outbound

This paper cites Latent ordinary differential equations for irregularly-sampled time series.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Latent ordinary differential equations for irregularly-sampled time series

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.834353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bcc5bde1-e1a5-48aa-b792-cf9e7240dcb2 · outbound

This paper cites Why and how savitzky–golay filters should be replaced.ACS Measure- ment Science Au, 2(2):185–196, 2022.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Why and how savitzky–golay filters should be replaced.ACS Measure- ment Science Au, 2(2):185–196, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.818003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b09e626-e700-4084-9182-daf2c5cfb434 · outbound

This paper cites Uniform random rotations.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Uniform random rotations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.803190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c70769f2-0d53-4718-a6bb-cc0f8fb6ef63 · outbound

This paper cites Efficient deriva- tive computation for cumulative b-splines on lie groups.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Efficient deriva- tive computation for cumulative b-splines on lie groups

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.789804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0879414-2a9f-4a75-ac58-a21aeef073c9 · outbound

This paper cites Sophus: C++ implementation of lie groups using eigen.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Sophus: C++ implementation of lie groups using eigen

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.777674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52684741-36ba-49d5-b3cf-9b834dd8573e · outbound

This paper cites Continuous-Time State Estimation Methods in Robotics: A Survey.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Continuous-Time State Estimation Methods in Robotics: A Survey

Reference 45

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Observation f283883e-f436-4523-aafd-9a6585cd20fe · outbound

This paper cites A white-noise-on-jerk motion prior for continuous-time trajectory estimation on se (3).Robo.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations A white-noise-on-jerk motion prior for continuous-time trajectory estimation on se (3).Robo

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.765141Z

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Observation 2fb06b4c-ea99-457d-998e-d927a377df65 · outbound

This paper cites Tangent space backpropagation for 3d transformation groups.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Tangent space backpropagation for 3d transformation groups

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.752885Z

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Observation 439d357e-e8f1-4e9a-8074-55ac7b4e3a91 · outbound

This paper cites The double sphere camera model.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations The double sphere camera model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.739968Z

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Observation d7c6d5cc-fe87-463c-81e3-582b91561526 · outbound

This paper cites A data-driven motion prior for continuous- time trajectory estimation on se(3).Robo.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations A data-driven motion prior for continuous- time trajectory estimation on se(3).Robo

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.727498Z

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Observation e4d9ac74-1790-4ecc-9bcc-241ae20393b3 · outbound

This paper cites GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning

Reference 50

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Observation 7ed15944-b7d5-473c-8724-7103a43ce1b2 · outbound

This paper cites Quater- nion equivariant capsule networks for 3d point clouds.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Quater- nion equivariant capsule networks for 3d point clouds

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.714979Z

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Observation 5aada215-b0ba-44f2-b81b-9809a0e4f7d7 · outbound

This paper cites On the continuity of rotation representations in neural networks.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations On the continuity of rotation representations in neural networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.702609Z

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Observation 6992b287-26cb-4f1d-ba76-4ff77b28a045 · outbound

This paper cites Following [21], the method encodes an initial value z0, which is then integrated forward in time usingtorchdiffeq[ 8] and Dormand-Prince 4/5 with respect to the constructed spline.

Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations Following [21], the method encodes an initial value z0, which is then integrated forward in time usingtorchdiffeq[ 8] and Dormand-Prince 4/5 with respect to the constructed spline

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:56:41.690324Z

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Pith citing papers

Observation d9daab56-3a84-48d2-8024-a3649c00b43f · inbound

Learning Manifold and It\^o Dynamics with Branched Neural Rough Differential Equations cites this paper.

Learning Manifold and It\^o Dynamics with Branched Neural Rough Differential Equations Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.500375Z

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