Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 3 inbound Pith citation observations for arXiv:2506.11639.

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

pith.paper-citation-record.v1
2506.11639 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:24.867762Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T18:44:16.817980Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:46:23.969972Z

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy5
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 739e7bb8-bd9b-45a2-82d9-8496ba231df0 · outbound

This paper cites an unresolved cited work.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:26.104139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55a51c53-1e7c-4e64-9b1c-5b0f9f5ba7af · outbound

This paper cites an unresolved cited work.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:25.999587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9deff5b4-571d-4554-b177-23febddb94ce · outbound

This paper cites an unresolved cited work.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:25.872242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3dfc27c1-d086-4278-bc57-bcbf68259b4f · outbound

This paper cites Chen, `` Kalman filter for robot vision: a survey ,'' IEEE Trans.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Chen, `` Kalman filter for robot vision: a survey ,'' IEEE Trans

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:25.747475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ed5a18d-4126-4c99-9685-6a9aa422c124 · outbound

This paper cites Revach, N.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Revach, N

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:25.634785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a7612fa-57a5-4934-8cc3-c8b888d04568 · outbound

This paper cites an unresolved cited work.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:25.503987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d72663e3-5d08-4662-a204-5f780e2447e6 · outbound

This paper cites Dahan, G.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Dahan, G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:25.390864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9176f2fc-cdf7-4924-bcc8-db16d486acfb · outbound

This paper cites Ko and A.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Ko and A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:25.283485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e8bf063-4e48-4764-a1e2-4417e15c2a25 · outbound

This paper cites an unresolved cited work.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:25.162476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a740495c-8d59-4321-b6d3-5ee5d437e8a9 · outbound

This paper cites Falcon, H.

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification Falcon, H

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:25.022977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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

FW-NKF: Frequency-Weighted Neural Kalman Filters cites this paper.

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

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:19.515982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2e46d59-6f24-45c1-8b8b-6d67109fb623 · inbound

Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification cites this paper.

Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:46:23.972554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53cb2c23-6a4d-4b39-b67d-69e8374da899 · inbound

Domain-Decomposition Neural Surrogates for Scalable Decentralized Ensemble Kalman Filter Based Parameter Identification in High-Dimensional Stochastic PDEs cites this paper.

Domain-Decomposition Neural Surrogates for Scalable Decentralized Ensemble Kalman Filter Based Parameter Identification in High-Dimensional Stochastic PDEs Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-31T18:44:16.817980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.