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Paper Citation Record · LEDGER

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet

As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2411.16930.

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

pith.paper-citation-record.v1
2411.16930 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:47:03.210051Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved7
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03f40c1f-134d-4b62-97a9-d64736c34200 · outbound

This paper cites an unresolved cited work.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Unresolved cited work

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

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Observation ab67fc1f-d7ae-4fda-895a-f6b5a0d69ec1 · outbound

This paper cites Kalman and R.S.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Kalman and R.S

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Esti- mation with applications to tracking and navigation: theory algorithms and software.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Esti- mation with applications to tracking and navigation: theory algorithms and software

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9259425-8a52-4c74-8bc8-7f5bd2167d84 · outbound

This paper cites New extension of the kalman filter to nonlinear systems.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet New extension of the kalman filter to nonlinear systems

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 91dfdfbb-5993-4973-ac3c-40da5bef860d · outbound

This paper cites Kalmannet: Neural network aided kalman filtering for partially known dynamics.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Kalmannet: Neural network aided kalman filtering for partially known dynamics

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3fa8d31d-f186-4015-bd09-1ed4145982a0 · outbound

This paper cites Deep learning for computer vision: A brief review.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Deep learning for computer vision: A brief review

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3e891ee9-2879-4885-b6fc-fd0c26f85bb6 · outbound

This paper cites Recent trends in deep learning based natural language processing.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Recent trends in deep learning based natural language processing

Reference 7

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Source-reported events for the cited work

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Observation 6da665fd-4b8a-4c61-bec3-147fe6ceef1a · outbound

This paper cites Deep learning.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Deep learning

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d87310a-d55f-4a93-9fc1-48703edcffe6 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T12:47:03.123723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2012467-4c13-4951-8ef3-5bf56c0864e0 · outbound

This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4cdd07d6-c62c-495e-a558-b8a8632416f8 · outbound

This paper cites Attention is all you need.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Attention is all you need

Reference 11

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Source-reported events for the cited work

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Observation add5ec02-4038-4934-83ad-e74f2c7a76f1 · outbound

This paper cites Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 260369a2-f378-461d-a856-50390299f208 · outbound

This paper cites an unresolved cited work.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Model-based deep learning: On the intersection of deep learning and optimization.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Model-based deep learning: On the intersection of deep learning and optimization

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 863fb8b6-2d3d-4187-92d8-1744389d7a60 · outbound

This paper cites Ushani, and Ryan M.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Ushani, and Ryan M

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b9bffcf7-6119-4e23-9862-353499ef33ed · outbound

This paper cites Multi-model kalmannet for maneuvering target tracking.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Multi-model kalmannet for maneuvering target tracking

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 48d39fb1-6622-41ee-b62c-e71f445a7f38 · outbound

This paper cites RadarScenes: A Real- World Radar Point Cloud Data Set for Automotive Applications, March 2021.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet RadarScenes: A Real- World Radar Point Cloud Data Set for Automotive Applications, March 2021

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fb58cb04-4cf2-46b7-8890-ad1403b78e72 · outbound

This paper cites Oafuser: Online adaptive extended object tracking and fusion using automotive radar detections.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Oafuser: Online adaptive extended object tracking and fusion using automotive radar detections

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 952b98a4-8d3c-4619-8fba-1dc5fd869264 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet Adam: A Method for Stochastic Optimization

Reference 19

Resolution
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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.