Paper Citation Record · LEDGER

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2408.07157.

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

pith.paper-citation-record.v1
2408.07157 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T22:13:03.562276Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy29
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c18e9e0-9b35-4ffd-a0f9-ccf7beb770a8 · outbound

This paper cites Object tracking incorporating transfer learning into an unscented Kalman filter.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Object tracking incorporating transfer learning into an unscented Kalman filter

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.184556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2735a0d6-6464-443f-83de-6a33be6c9492 · outbound

This paper cites Approximations to optimal nonlinear filters.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Approximations to optimal nonlinear filters

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.186678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c18383b-2291-459c-b490-1f757de5bb92 · outbound

This paper cites A new extension of the Kalman filter to nonlinear systems.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters A new extension of the Kalman filter to nonlinear systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.189343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c073a785-002b-4a58-bcf6-b5c54a1f2bc7 · outbound

This paper cites Cubature Kalman filters.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Cubature Kalman filters

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.191467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c7fb1897-90da-485c-8679-39c834827096 · outbound

This paper cites A survey on transfer learning.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters A survey on transfer learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.177532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a52cad6-8c23-4ce5-b0ed-2815a0643d5f · outbound

This paper cites Transfer learning for collaborative filtering via a rating-matrix generative model.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Transfer learning for collaborative filtering via a rating-matrix generative model

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.175179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc856571-6c64-4fd7-a51e-50f41b5ef5b7 · outbound

This paper cites Utilizing transfer learning for in-domain collabora- tive filtering.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Utilizing transfer learning for in-domain collabora- tive filtering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.180041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5bb2b681-c3f5-48cf-86eb-6963f98a24e8 · outbound

This paper cites Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.056419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98e65cc1-d1b1-4002-b239-ab5ba41e1edb · outbound

This paper cites Optimal Bayesian transfer learning.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Optimal Bayesian transfer learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.170099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d001eb9-7795-4fa0-997d-f4890a79d40e · outbound

This paper cites A Bayesian approach to (online) transfer learning: Theory and algorithms.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters A Bayesian approach to (online) transfer learning: Theory and algorithms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.172475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da3ce64b-554d-4739-bf94-87a2db2c7d3b · outbound

This paper cites Transferring model structure in Bayesian transfer learning for Gaussian process regres- sion.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Transferring model structure in Bayesian transfer learning for Gaussian process regres- sion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.153736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 78c0bfba-1673-45ce-a591-fb972d34a691 · outbound

This paper cites Optimal Bayesian transfer regression.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Optimal Bayesian transfer regression

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.124776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb2216ee-ba5c-46b7-845b-986454eedf52 · outbound

This paper cites Transferring visual prior for online object tracking.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Transferring visual prior for online object tracking

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.127999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 860c458e-a91c-4589-977e-a590a1b4314d · outbound

This paper cites Fully probabilistic design for knowledge transfer in a pair of Kalman filters.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Fully probabilistic design for knowledge transfer in a pair of Kalman filters

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.136152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 995fb372-858a-4f21-860b-33d9541cf694 · outbound

This paper cites Robust Bayesian transfer learning between Kalman filters.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Robust Bayesian transfer learning between Kalman filters

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.156239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0872e70-88a6-45b2-9d4f-8ac349c7971d · outbound

This paper cites Hierarchical Bayesian transfer learning between a pair of Kalman filters.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Hierarchical Bayesian transfer learning between a pair of Kalman filters

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.193822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 438bcddd-326e-40c3-8285-e9c996109d3d · outbound

This paper cites Kalman filter algorithms for a multi-sensor system.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Kalman filter algorithms for a multi-sensor system

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.195941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0e91519-8d83-4ebe-a4a2-1ebf6017c40c · outbound

This paper cites Comparison of two-sensor tracking methods based on state vector fusion and measurement fusion.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Comparison of two-sensor tracking methods based on state vector fusion and measurement fusion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.160099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 631e39e4-42e4-4fac-b89c-4adfb6376138 · outbound

This paper cites A Bayesian approach to problems in stochastic estimation and control.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters A Bayesian approach to problems in stochastic estimation and control

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.164974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e146a91-d021-4cc4-b2f1-e650b358eb57 · outbound

This paper cites Ristic, S.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Ristic, S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.148593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 899b68b3-b2e3-4fbf-8095-15a8eba9eba4 · outbound

This paper cites Novel approach to nonlinear/non-Gaussian Bayesian state estimation.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Novel approach to nonlinear/non-Gaussian Bayesian state estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.143807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5048049b-9f96-4816-8115-e15f13cc1746 · outbound

This paper cites A tutorial on particle filters for online nonlinear/non- Gaussian Bayesian tracking.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters A tutorial on particle filters for online nonlinear/non- Gaussian Bayesian tracking

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.146399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9065144-7564-46ee-be3d-6ad35b25bc0e · outbound

This paper cites The unscented Kalman filter for nonlinear estimation.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters The unscented Kalman filter for nonlinear estimation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.151163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02665530-1b38-47b2-a895-563c9aaed579 · outbound

This paper cites A new method for the nonlinear transformation of means and covariances in filters and estimators.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters A new method for the nonlinear transformation of means and covariances in filters and estimators

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.162324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b0f1b04-cd77-40d3-bb36-c080809ec6cb · outbound

This paper cites Fully symmetric interpolatory rules for multiple integrals over infinite regions with Gaussian weight.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Fully symmetric interpolatory rules for multiple integrals over infinite regions with Gaussian weight

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.138695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5dbf9358-fd94-430b-9317-13e453e15186 · outbound

This paper cites High-degree cubature Kalman filter.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters High-degree cubature Kalman filter

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.130711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33e064e0-7a6e-42d7-9687-bacbb5096289 · outbound

This paper cites Transformed unscented Kalman filter.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Transformed unscented Kalman filter

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.133394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bfeb8558-dcab-4b77-947c-93555ce0eb99 · outbound

This paper cites Unscented filtering and nonlinear estimation.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Unscented filtering and nonlinear estimation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.141087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3316d669-944b-4567-834f-8a4332d315c2 · outbound

This paper cites Bar-Shalom, X.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters Bar-Shalom, X

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.167527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 18a15936-a181-4ae0-92b9-65234bbb9f2a · outbound

This paper cites The effect of the common process noise on the two-sensor fused-track covari- ance.

Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters The effect of the common process noise on the two-sensor fused-track covari- ance

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:13:31.182400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.