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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.192077Z digest=sha256:7451348d303dae30e0004404e63658e58f99684becec4ff4ad93add9b1b6fdc7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.241376Z digest=sha256:d700ea929fdf9e65159ea8e4dce7a083bcaff7f1d8bbb7e37055acd4c16b6444

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.333911Z digest=sha256:f8d5a206105a91365105ab7512bf4ead3104a04d87767e3d81c4cb8620ecae59

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.422438Z digest=sha256:a0a5bed8da5f6e3248a5d76a1593c15cee424697f4e3d26f70d0a77854f8fdb0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.496903Z digest=sha256:d4bf5a04a2924184692152414495bee30b2fb78c2b95d69cad852732d0db6977

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.575192Z digest=sha256:a976ce86ba96d1e3a5826d8fea3564ddee5e498d68336526aea788ed545be7ef

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.627991Z digest=sha256:35a92ac0382180c07c79b173992aa268efee0e4f05e8d5dfdea65b73e1613739

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.694736Z digest=sha256:c7cd75ea1a2ffb122da362aef00ee45fd4c62f53842249079ae174517760f240

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.774747Z digest=sha256:1bae9f80879a5b112848dfe342979da9da9dfee4e83865a926795b0fe4e15eb5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:08:24.867762Z digest=sha256:58769cfa0015bf5e03e75d38c2ec8a574ebc2a160a7bad2aa71cdd51458f5f6e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T14:47:40.312297Z digest=sha256:00fbff28e8e4b8e0c61e9bb2061e7b79237b5325413b971275e11c9056320901

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T13:58:37.840951Z digest=sha256:83edb6948c92c0da6b35b9c1d993bc79b51855c4d183d870b48c1f888e821188

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.

source=pdf_text observed=2026-07-31T18:44:16.817980Z digest=sha256:ec841e006f2aff8e7b3cd6c75315ff67f3f9d34acb1e33aed31034c4c50c697a