Paper Citation Record · LEDGER

Can a Transformer Represent a Kalman Filter?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.06937.

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

pith.paper-citation-record.v1
2312.06937 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:29:08.889049Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:01:46.205574Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 12d6e7c0-92fa-44d6-a809-fb768a57900b · inbound

Dynamical Behaviors of the Gradient Flows for In-Context Learning cites this paper.

Dynamical Behaviors of the Gradient Flows for In-Context Learning Can a Transformer Represent a Kalman Filter?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:08.889049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc60b70-2802-4c2f-bd97-6875398dae6b · inbound

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

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Can a Transformer Represent a Kalman Filter?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:01:46.207959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df7df5b0-0671-429c-a0e8-3104f428bd1e · inbound

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

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Can a Transformer Represent a Kalman Filter?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T10:25:17.064783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ddf53be-7a37-441b-8d61-3e723bb025b2 · inbound

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF cites this paper.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Can a Transformer Represent a Kalman Filter?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:22:04.761552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a40f59-dd10-4d21-9823-43b247be4c56 · inbound

The Transformer as a Polar State Estimator cites this paper.

The Transformer as a Polar State Estimator Can a Transformer Represent a Kalman Filter?

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:07.650216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.