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Paper Citation Record · LEDGER

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:1908.03918.

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

pith.paper-citation-record.v1
1908.03918 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:03:36.808827Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8d8e726-effd-41b0-ad0a-8e86835dc43a · outbound

This paper cites The Limits and Potentials of Deep Learning for Robotics,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction The Limits and Potentials of Deep Learning for Robotics,

Reference 1

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e90d79a5-748c-423a-b6ea-619822ac505d · outbound

This paper cites Visual Odometry,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Visual Odometry,

Reference 2

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Observation 938a017c-3888-41bb-b7f1-b2ad07fdb1f2 · outbound

This paper cites Semi-Dense Visual Odometry for a Monocular Camera,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Semi-Dense Visual Odometry for a Monocular Camera,

Reference 3

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Observation bfa50af2-26dd-49f0-a2f8-e60a271733e8 · outbound

This paper cites SVO: Fast Semi-Direct Monocular Visual Odometry,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction SVO: Fast Semi-Direct Monocular Visual Odometry,

Reference 4

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Observation 29030511-ce5c-4af6-a07f-e31decd3ab4a · outbound

This paper cites A New Approach to Linear Filtering and Prediction Problems,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction A New Approach to Linear Filtering and Prediction Problems,

Reference 5

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Observation 5a382785-6de1-4f0c-8dca-e57da950b23e · outbound

This paper cites Applications of Kalman Filtering in Aerospace 1960 to the Present,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Applications of Kalman Filtering in Aerospace 1960 to the Present,

Reference 6

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Observation 42037173-1b71-4acf-9cb4-d98b5344ef44 · outbound

This paper cites Sequential monte carlo methods for dynamic systems,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Sequential monte carlo methods for dynamic systems,

Reference 7

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Observation 8389ccd0-b7fd-4e80-bc82-04a4d02116fe · outbound

This paper cites g2o: A General Framework for Graph Optimization,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction g2o: A General Framework for Graph Optimization,

Reference 8

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Observation 732ab663-23e2-4140-a598-f6687477fb30 · outbound

This paper cites VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization,

Reference 9

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2cb20b98-9938-4f0d-8469-d235c85c34ca · outbound

This paper cites DeepVO : Towards End- to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction DeepVO : Towards End- to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks,

Reference 10

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Observation 533541a1-bca7-4294-801a-176b3770e606 · outbound

This paper cites Unsupervised Learning of Depth and Ego-Motion from Video,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Unsupervised Learning of Depth and Ego-Motion from Video,

Reference 11

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Observation 4236ee13-6e5e-4276-9e06-8d563db09190 · outbound

This paper cites VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem,

Reference 12

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b507f007-9567-4c09-ac89-f90bebe527e3 · outbound

This paper cites Learning to Navigate in Cities Without a Map,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Learning to Navigate in Cities Without a Map,

Reference 13

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Observation 5b3b6327-8539-47be-8371-640320380edf · outbound

This paper cites CodeSLAM Learning a Compact, Optimisable Representation for Dense Visual SLAM,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction CodeSLAM Learning a Compact, Optimisable Representation for Dense Visual SLAM,

Reference 14

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 27d462e5-e475-4152-9c2e-81c78db0375b · outbound

This paper cites Geometry-Aware Learning of Maps for Camera Localization,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Geometry-Aware Learning of Maps for Camera Localization,

Reference 15

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a8383fa3-bdd9-4ca3-a2cb-ca411c1d48c2 · outbound

This paper cites Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Reference 16

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Source-reported events for the cited work

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Observation 543bd2c0-9e4b-48d9-aa29-374ced73e831 · outbound

This paper cites GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose,

Reference 17

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 22903e54-1697-40a9-92c5-87e62eaed504 · outbound

This paper cites Dynamic system identification experiment design and data analysis,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Dynamic system identification experiment design and data analysis,

Reference 18

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 488bbd66-1cc3-4416-a3d6-05d09627bd71 · outbound

This paper cites Incremental design of simplex basis function model for dynamic system identification,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Incremental design of simplex basis function model for dynamic system identification,

Reference 19

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 499ff539-c4b6-49a4-bc2a-d44e94cdfde1 · outbound

This paper cites Dynamic Systems Identification with Gaussian Processes,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Dynamic Systems Identification with Gaussian Processes,

Reference 20

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c0537928-c2ba-41cc-9947-5ac2fcd35f7c · outbound

This paper cites Learning Nonlinear Dynamical Systems Using an EM Algorithm,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Learning Nonlinear Dynamical Systems Using an EM Algorithm,

Reference 21

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Observation 2213f8e9-c81d-4d2d-8d63-72c60ac827ba · outbound

This paper cites Convergence study in extended kalman filter- based training of recurrent neural networks,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Convergence study in extended kalman filter- based training of recurrent neural networks,

Reference 22

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8a9e2bae-bd1d-4099-b3ba-06471f65ff24 · outbound

This paper cites Backprop KF: Learning Discriminative Deterministic State Estimators.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Backprop KF: Learning Discriminative Deterministic State Estimators

Reference 23

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Observation e281a5a9-0cfb-4ffa-9750-21fc30a761ba · outbound

This paper cites Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors,

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2cc7ce49-5d49-44e5-85c9-542bc3e5bb3a · outbound

This paper cites Particle Filter Networks with Application to Visual Localization.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Particle Filter Networks with Application to Visual Localization

Reference 25

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 43f6b515-8840-413f-94fb-6b0e9c8e90cd · outbound

This paper cites Structured Inference Networks for Nonlinear State Space Models,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Structured Inference Networks for Nonlinear State Space Models,

Reference 26

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9ffbeb7f-fb3f-483a-8400-85a20b7ecddc · outbound

This paper cites Sequential Neu- ral Models with Stochastic Layers,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Sequential Neu- ral Models with Stochastic Layers,

Reference 27

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a68439c3-489a-4718-b7f9-dc8eb6138fa0 · outbound

This paper cites A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning,

Reference 28

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3bee2b44-eed6-4d4d-818c-9e83b8492d9c · outbound

This paper cites Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data,

Reference 29

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 128e163a-460d-45f9-9c7f-c7473b642059 · outbound

This paper cites Learning Stable Stochastic Nonlinear Dynamical Systems,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Learning Stable Stochastic Nonlinear Dynamical Systems,

Reference 30

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ca4ac3cc-7f06-4dae-95b6-a8233d95086f · outbound

This paper cites MonoSLAM: Real-Time Single Camera SLAM,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction MonoSLAM: Real-Time Single Camera SLAM,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0067718b-13a8-4826-aaf9-659e7fb8f5a6 · outbound

This paper cites DTAM: Dense Tracking and Mapping in Real-Time,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction DTAM: Dense Tracking and Mapping in Real-Time,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 24513427-38ce-420e-b22d-603606730f61 · outbound

This paper cites LSD-SLAM: Large-Scale Direct Monocular SLAM,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction LSD-SLAM: Large-Scale Direct Monocular SLAM,

Reference 33

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raw_fallback, observed 2026-08-14T14:03:37.202251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 47c068dd-bcce-4902-85ab-dbf2f095b9a3 · outbound

This paper cites ORB-SLAM : A Versatile and Accurate Monocular SLAM System,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction ORB-SLAM : A Versatile and Accurate Monocular SLAM System,

Reference 34

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raw_fallback, observed 2026-08-14T14:03:37.139190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.650443Z digest=sha256:e4788b4db0ecacbdeaafb0d8bb723f62e6ca9beffe472e5cf70909157ce555b7

Observation 2822a08b-4bd6-4a11-8c85-19efb4eb51d4 · outbound

This paper cites IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a- Posteriori Estimation,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a- Posteriori Estimation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.088156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.762765Z digest=sha256:20ad2ef54b9cc406c221d5513234dcff027f0cfb2c3fd92b55226219a78d663c

Observation e5d7b8c8-6583-4cff-b6a1-0abea460a991 · outbound

This paper cites High-Precision, Consistent EKF-Based Visual- Inertial Odometry,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction High-Precision, Consistent EKF-Based Visual- Inertial Odometry,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.078763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.766158Z digest=sha256:07eec5eef608593ca61ac41952bf1ee674e48fc134ca93e39dca76207721c303

Observation 063e6263-8081-4ebe-83c5-336fd8b9ea6c · outbound

This paper cites Robust Visual Inertial Odometry Using a Direct EKF-Based Approach,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Robust Visual Inertial Odometry Using a Direct EKF-Based Approach,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.069049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.769176Z digest=sha256:4cbf1620447d83c5c396f229c14749feb2314422e39ff347a36e031b8849b7ef

Observation 4de05b25-78bd-4dd8-af39-170466ad6486 · outbound

This paper cites Keyframe-Based VisualInertial Odometry Using Nonlinear Optimization,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Keyframe-Based VisualInertial Odometry Using Nonlinear Optimization,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.060013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.772601Z digest=sha256:dcdc93646a7dc403e23ed64542af9faeb29da1d19773e3bf197fa161924d6d47

Observation c4919102-d127-4041-93fb-4d2dc549678c · outbound

This paper cites VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.051450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.776139Z digest=sha256:d0559738d8c0caffef316dab8de7fc7e81e1a819135eb2765a4ca013cf34857a

Observation a8b70dac-0c77-4e34-a13d-b8775a4d857f · outbound

This paper cites BA-Net: Dense Bundle Adjustment Networks,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction BA-Net: Dense Bundle Adjustment Networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.042224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.779094Z digest=sha256:fb22971a902bf3579181b917a3e0b61dfba2d85b29628b853b9aa2078b3083ce

Observation b6599f24-e5b7-4570-9ba5-7ec03a545280 · outbound

This paper cites Sparse representa- tions for object-and ego-motion estimations in dynamic scenes,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Sparse representa- tions for object-and ego-motion estimations in dynamic scenes,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.033375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.781634Z digest=sha256:a7477bab7c48b615825699740df5e837b165e64b57db959419633673159d677a

Observation 634c0708-73de-43e9-ad8b-d96a14c301be · outbound

This paper cites Learning to Navigate in Complex Environments.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Learning to Navigate in Complex Environments

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:36.784846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:36.784846Z digest=sha256:927c0ef6e662701dd3957da6174614dd6ce04d115877d057dc4bc83b50764577

Observation fb75a74b-d660-46e1-8ea8-baf4fccb0a6c · outbound

This paper cites MapNet: An Allocentric Spatial Memory for Mapping Environments,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction MapNet: An Allocentric Spatial Memory for Mapping Environments,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:37.024069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.787726Z digest=sha256:135e319ae5e170291186a18bafc83ec667453ab265cdd06cf83a175d0916c15d

Observation 5fcbd397-da86-43e6-ba90-59c1338f412f · outbound

This paper cites C ¸imen, State-Dependent Riccati Equation (SDRE) Control: A survey.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction C ¸imen, State-Dependent Riccati Equation (SDRE) Control: A survey

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:36.995132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.790079Z digest=sha256:b66eb12ce832faa07977d27fa41ddd546ee5c4086dfd3060245917e4a7a617c6

Observation aa3b418b-8627-4cfa-9572-76861ab75617 · outbound

This paper cites Deep State Space Models for Time Series Forecasting,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Deep State Space Models for Time Series Forecasting,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:36.955047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.792167Z digest=sha256:34b79503e42de3dc541bffb9d56eebd78d18e4debdc27b2e34f00f1676140f4e

Observation 87d9d2d4-1891-46e6-b301-ecb0d4e74c88 · outbound

This paper cites Long short-term memory,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Long short-term memory,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:36.794470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:36.794470Z digest=sha256:576865ddbc864e1a5462886a68877e50cc84e565fa0844463af2093ebf33f94a

Observation 52b00eb3-b40a-447d-b95f-36f7f7dc1e2c · outbound

This paper cites Lstm: A search space odyssey,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Lstm: A search space odyssey,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:36.796636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:36.796636Z digest=sha256:c5f4f40687735bfe9e0c21937b49e6bc8b255bc910be1b2432fc6a7b868a8216

Observation e97ec66a-f67c-4801-9aa0-134cc7c93cd3 · outbound

This paper cites Gradient Estimation Us- ing Stochastic Computation Graphs,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Gradient Estimation Us- ing Stochastic Computation Graphs,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:36.935835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.798617Z digest=sha256:0e751dcdd559734ccaf527449495a2e13c4f0968a7cac6c406118abd856f749d

Observation 308d106e-6ca7-4785-b816-5797875d7389 · outbound

This paper cites Pathwise Derivatives Beyond the Reparameterization Trick,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Pathwise Derivatives Beyond the Reparameterization Trick,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:36.926537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.801473Z digest=sha256:5a8600ac9248932b1912af8403f5dc6e3638e74630e271dea760602d2a447801

Observation 0e642daf-d5d7-48a7-ae4b-47d3e4a15377 · outbound

This paper cites Vision Meets Robotics: The KITTI Dataset,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Vision Meets Robotics: The KITTI Dataset,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:36.916718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.803602Z digest=sha256:0efdcbbc3d943ef35ae28855bb373283b303d7ab3efa066015aa98bf6d75cd94

Observation a6d60f13-00a6-4fee-b75d-0d43a1dfe1e5 · outbound

This paper cites Unsupervised scale-consistent depth and ego-motion learning from monocular video,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Unsupervised scale-consistent depth and ego-motion learning from monocular video,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:36.907540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.806670Z digest=sha256:8560962302b7c59734ceee20a6d6aad264832fb9c652e65194f1f8ea6ff5c531

Observation 757d6d0b-ae72-4c37-b48b-47f4dc8a7869 · outbound

This paper cites Stereoscan: Dense 3d reconstruction in real-time,.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Stereoscan: Dense 3d reconstruction in real-time,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:36.898853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:03:36.808827Z digest=sha256:885349372b2f663beca56e12ea24a012ac87b4140d599ed4fae23eb39ea23291

Observation 52d9a66e-17da-40af-85ae-dec35dfde25d · outbound

This paper cites Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:36.456598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:36.456598Z digest=sha256:b9aa12069f8e2c07363383d940b3cb0af4559d1dd6dc94bdd52cc1420d9d41af

Pith citing papers

No inbound Pith citation observations are available.