Paper Citation Record · LEDGER

AI-Aided Kalman Filters

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.12289.

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

pith.paper-citation-record.v1
2410.12289 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:17:51.090456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:22:56.984362Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9751c64c-1480-4a14-8e96-5bd797448c17 · inbound

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning cites this paper.

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning AI-Aided Kalman Filters

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:51.090456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d18909-8ad5-4242-991e-6ba655f0dbc8 · inbound

Energy-Efficient State Estimation with 1-Bit Sensing: A Bussgang-Kalman Framework for Internet of Things cites this paper.

Energy-Efficient State Estimation with 1-Bit Sensing: A Bussgang-Kalman Framework for Internet of Things AI-Aided Kalman Filters

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:22:56.987609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf0afaff-ba2a-45b4-b078-39dc098d6dd4 · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation AI-Aided Kalman Filters

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:01:46.246526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdfcb4b9-70b6-4bc2-8d6d-4913bf361eec · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation AI-Aided Kalman Filters

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T10:25:17.226539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce81982-02de-4679-9b3c-c45c2303c831 · inbound

The Transformer as a Polar State Estimator cites this paper.

The Transformer as a Polar State Estimator AI-Aided Kalman Filters

Reference 198

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:07.557536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.