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Paper Citation Record · LEDGER

FW-NKF: Frequency-Weighted Neural Kalman Filters

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.02251.

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

pith.paper-citation-record.v1
2606.02251 v1

Coverage vector

measured 38 of 38 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-28T14:47:40.312297Z

measured 38 of 38 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy0
  • unresolved35
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Outbound references

Observation 84c3e634-035a-4b18-8e97-21e02fb1902a · outbound

This paper cites Composable deep reinforcement learning for robotic manipulation,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Composable deep reinforcement learning for robotic manipulation,

Reference 1

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Observation 0a332008-7fc1-4fde-b319-932de6c1b6cd · outbound

This paper cites TransPose: Real-time 3d human translation and pose estimation with six inertial sensors,.

FW-NKF: Frequency-Weighted Neural Kalman Filters TransPose: Real-time 3d human translation and pose estimation with six inertial sensors,

Reference 2

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Observation 6d268f43-e378-48fb-ab8f-91584972874f · outbound

This paper cites SpiralNet++: A fast and highly efficient mesh convolution operator,.

FW-NKF: Frequency-Weighted Neural Kalman Filters SpiralNet++: A fast and highly efficient mesh convolution operator,

Reference 3

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Observation 7298054a-4be0-449b-b709-01e16103966c · outbound

This paper cites HuMoR: 3d human motion model for robust pose estimation,.

FW-NKF: Frequency-Weighted Neural Kalman Filters HuMoR: 3d human motion model for robust pose estimation,

Reference 4

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Observation 3edd7d7a-b20c-4ede-85b0-3110bee9e6e7 · outbound

This paper cites IONet: Learning to cure the curse of drift in inertial odometry,.

FW-NKF: Frequency-Weighted Neural Kalman Filters IONet: Learning to cure the curse of drift in inertial odometry,

Reference 5

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Observation 0d429af2-058a-4a50-8b5d-d8fc027cb195 · outbound

This paper cites TOCH: Spatio-temporal object-to-hand correspondence for motion refinement,.

FW-NKF: Frequency-Weighted Neural Kalman Filters TOCH: Spatio-temporal object-to-hand correspondence for motion refinement,

Reference 6

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Observation 2b58f7b3-718c-4573-bdc9-74322aa6bc65 · outbound

This paper cites Deep Kalman Filters.

FW-NKF: Frequency-Weighted Neural Kalman Filters Deep Kalman Filters

Reference 7

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Observation 3fab1838-3c0c-4fc0-ab52-dd3a9fa8c672 · outbound

This paper cites Structured inference networks for nonlinear state space models,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Structured inference networks for nonlinear state space models,

Reference 8

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Observation f40bbc75-dd72-42f8-aa4e-07ca53bfca92 · outbound

This paper cites Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules,

Reference 9

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Observation fee0571d-c61c-4bab-a4e2-211c45629020 · outbound

This paper cites Jackknifing multiple-window spectra,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Jackknifing multiple-window spectra,

Reference 10

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Observation e365ce54-bd71-479b-b78a-6eb581287694 · outbound

This paper cites an unresolved cited work.

FW-NKF: Frequency-Weighted Neural Kalman Filters Unresolved cited work

Reference 11

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Observation 685ecaf3-68ef-43a8-bbb1-91ae06f7c7e6 · outbound

This paper cites Spectral filtering for general linear dynamical systems,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Spectral filtering for general linear dynamical systems,

Reference 12

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Observation 054c894f-36bd-4f4e-a279-cdd4e4b61f32 · outbound

This paper cites Available: https://ntrs.nasa.gov/citations/20205002076.

FW-NKF: Frequency-Weighted Neural Kalman Filters Available: https://ntrs.nasa.gov/citations/20205002076

Reference 13

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Observation 75118b63-1f77-4fde-a3b9-65709177d485 · outbound

This paper cites Statistical-physical models of electromagnetic interfer- ence,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Statistical-physical models of electromagnetic interfer- ence,

Reference 14

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Observation e8684c5a-bea8-47dd-9e9c-c5e89d241abd · outbound

This paper cites MuProp: Unbiased backpropagation for stochastic neural networks,.

FW-NKF: Frequency-Weighted Neural Kalman Filters MuProp: Unbiased backpropagation for stochastic neural networks,

Reference 15

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Observation e055ec55-cfdb-4990-8328-7c6a2ecdac60 · outbound

This paper cites How to train your differentiable filter,.

FW-NKF: Frequency-Weighted Neural Kalman Filters How to train your differentiable filter,

Reference 16

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Observation fdd2aa85-710b-4edb-a188-130d6003187a · outbound

This paper cites Särkkä,Bayesian Filtering and Smoothing.

FW-NKF: Frequency-Weighted Neural Kalman Filters Särkkä,Bayesian Filtering and Smoothing

Reference 17

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Observation c5d69cb3-d30e-4577-8031-f16209281f3a · outbound

This paper cites Differentiable particle filtering via entropy- regularized optimal transport,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Differentiable particle filtering via entropy- regularized optimal transport,

Reference 18

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Observation 28bd1063-b570-48c9-9e66-229e73eca585 · outbound

This paper cites The unscented Kalman filter for nonlinear estimation,.

FW-NKF: Frequency-Weighted Neural Kalman Filters The unscented Kalman filter for nonlinear estimation,

Reference 19

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Observation fa27e522-fcdc-44ff-bef6-9512966b3c51 · outbound

This paper cites A new approach to linear filtering and prediction problems,.

FW-NKF: Frequency-Weighted Neural Kalman Filters A new approach to linear filtering and prediction problems,

Reference 20

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Observation 24af1bf9-4208-4166-9cc1-a1371254fa72 · outbound

This paper cites An introduction to the kalman filter,.

FW-NKF: Frequency-Weighted Neural Kalman Filters An introduction to the kalman filter,

Reference 21

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Observation 16608b92-aaaf-4469-ba79-78da445855a9 · outbound

This paper cites Robust extended kalman filtering,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Robust extended kalman filtering,

Reference 22

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Observation 0c2f22f9-a262-4e6c-b0ac-bad0f884becb · outbound

This paper cites Comparison of estimation accuracy of ekf, ukf and pf filters,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Comparison of estimation accuracy of ekf, ukf and pf filters,

Reference 23

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Observation ec9ac1a4-d65b-4dba-9db6-5300c70b9fae · outbound

This paper cites Perceptual Kalman filters: Online state estimation under a perfect perceptual-quality constraint,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Perceptual Kalman filters: Online state estimation under a perfect perceptual-quality constraint,

Reference 24

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Observation 28b708b4-9280-4212-a1bc-a0f21c9cf821 · outbound

This paper cites Bar-Shalom, X.

FW-NKF: Frequency-Weighted Neural Kalman Filters Bar-Shalom, X

Reference 25

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Observation eab2b902-d2ba-4ee8-967b-401937714fd0 · outbound

This paper cites A new extension of the Kalman filter to nonlinear systems,.

FW-NKF: Frequency-Weighted Neural Kalman Filters A new extension of the Kalman filter to nonlinear systems,

Reference 26

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Observation a8fdb9ad-835b-4456-ade9-63eefec47393 · outbound

This paper cites KalmanNet: Neural network aided Kalman filtering for partially known dynamics,.

FW-NKF: Frequency-Weighted Neural Kalman Filters KalmanNet: Neural network aided Kalman filtering for partially known dynamics,

Reference 27

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Observation ba107aca-3192-4272-9906-a0e15a7dce1f · outbound

This paper cites Uncertainty quantification in deep learning based Kalman filters,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Uncertainty quantification in deep learning based Kalman filters,

Reference 28

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Observation aec6b49e-f636-4d65-9658-4a641aff5c1b · outbound

This paper cites Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification.

FW-NKF: Frequency-Weighted Neural Kalman Filters Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification

Reference 29

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Observation b6675b88-7632-40aa-9bd7-814c8445b848 · outbound

This paper cites Deep variational bayes filters: Unsupervised learning of state space models from raw data,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Deep variational bayes filters: Unsupervised learning of state space models from raw data,

Reference 30

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Observation 2b46cb51-b813-4718-8995-f8b19b43beff · outbound

This paper cites Optimal and robust noncausal filter formulations,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Optimal and robust noncausal filter formulations,

Reference 31

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Observation 4206ebb6-2cf7-4e47-a4ef-8c10707af70d · outbound

This paper cites Analyzing frequency response of inertial MEMS in stabilization systems,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Analyzing frequency response of inertial MEMS in stabilization systems,

Reference 32

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Observation 108e8361-dd76-4320-a643-bf9d08ef42db · outbound

This paper cites Ultra inertial poser: Scalable motion capture and tracking from sparse inertial sensors and ultra-wideband ranging,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Ultra inertial poser: Scalable motion capture and tracking from sparse inertial sensors and ultra-wideband ranging,

Reference 33

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Observation 70fe5acc-034d-4821-aabe-cb5f557cd26a · outbound

This paper cites University of michigan north campus long-term vision and lidar dataset,.

FW-NKF: Frequency-Weighted Neural Kalman Filters University of michigan north campus long-term vision and lidar dataset,

Reference 34

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Observation a07054c2-930a-45e6-9282-0073fb943667 · outbound

This paper cites State estimation, robust control and obstacle avoidance for multicopter in cluttered environments: Euroc experience and results,.

FW-NKF: Frequency-Weighted Neural Kalman Filters State estimation, robust control and obstacle avoidance for multicopter in cluttered environments: Euroc experience and results,

Reference 35

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Observation 66088680-ef36-4ee6-b1b6-52552757a7c2 · outbound

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FW-NKF: Frequency-Weighted Neural Kalman Filters The euroc micro aerial vehicle datasets,

Reference 36

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Observation 999c4af6-f76b-4d5f-97a6-8247fd67cc5f · outbound

This paper cites Recurrent Kalman networks: Factorized inference in high-dimensional deep feature spaces,.

FW-NKF: Frequency-Weighted Neural Kalman Filters Recurrent Kalman networks: Factorized inference in high-dimensional deep feature spaces,

Reference 37

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Observation 312983ae-5d70-4e68-8595-476b14b74681 · outbound

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FW-NKF: Frequency-Weighted Neural Kalman Filters Autoregressive Kalman filter,

Reference 38

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