Paper Citation Record · LEDGER

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2505.08982.

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

pith.paper-citation-record.v1
2505.08982 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:56:07.732818Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T18:24:34.878784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:30:40.703957Z

Reference resolution

52 of 52 outbound references displayed

verified exact2
verified fuzzy39
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0086ed0-c8d8-408b-91b8-8370c68990ef · outbound

This paper cites an unresolved cited work.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:56:08.317861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ded36794-60f2-4525-b55c-80785efba380 · outbound

This paper cites an unresolved cited work.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:56:08.308011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b3916ed7-a388-4635-b293-f70dc1d80c18 · outbound

This paper cites State estimation for robotics.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret State estimation for robotics

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.296860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0119a8bc-1f11-4b8b-92d6-ef300b26b74b · outbound

This paper cites A linear dynamical syste m model for text.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret A linear dynamical syste m model for text

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.286610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d32456e-e0c8-4d8e-be4d-a545072008ed · outbound

This paper cites Long short-term memory Kalman ﬁlters: Recurrent neural estimat ors for pose regularization.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Long short-term memory Kalman ﬁlters: Recurrent neural estimat ors for pose regularization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.276125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d930a6bc-11af-427c-bea3-60f181128f54 · outbound

This paper cites Kalman and extended Kalman ﬁlters : Concept, derivation and proper- ties.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Kalman and extended Kalman ﬁlters : Concept, derivation and proper- ties

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.265863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 425980b8-aa1a-45a7-b333-2bbc778eb854 · outbound

This paper cites Cubature Kalman ﬁlters.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Cubature Kalman ﬁlters

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.254489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6db91d1-f927-48c3-ad60-bb7d19310601 · outbound

This paper cites System identiﬁcation.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret System identiﬁcation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.242391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f7a70bd-326c-47ad-884d-b582062e2763 · outbound

This paper cites Fundamentals of adaptive ﬁltering.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Fundamentals of adaptive ﬁltering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.232364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1c75025-f9fb-4943-a4fa-65f242910bdd · outbound

This paper cites Learning line ar dynamical systems via spectral ﬁltering.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Learning line ar dynamical systems via spectral ﬁltering

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.220019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a842c1c-1d60-44e0-aa52-0ca5b4b66ac9 · outbound

This paper cites No-regret prediction in marginally stable systems.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret No-regret prediction in marginally stable systems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.209123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0e1b568b-3e38-41e5-9327-21f05c4d646c · outbound

This paper cites an unresolved cited work.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:56:08.197374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27b65db7-ad81-4928-b99f-fcb4a3b5618c · outbound

This paper cites Finite sample a nalysis of stochastic system iden- tiﬁcation.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Finite sample a nalysis of stochastic system iden- tiﬁcation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:56:07.596482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438f2f1d-c954-4bcf-8fd1-fc22e1d706f6 · outbound

This paper cites Non-asymptotic identiﬁcation of l inear dynamical systems using multiple trajectories.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Non-asymptotic identiﬁcation of l inear dynamical systems using multiple trajectories

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.179586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15fe31e0-cf24-4b7e-99b3-e1bbd32d5754 · outbound

This paper cites Improved rates for prediction and identiﬁc ation of partially observed linear dy- namical systems.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Improved rates for prediction and identiﬁc ation of partially observed linear dy- namical systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.169253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67cef0fb-ebb7-4320-9aa8-3eddabee466d · outbound

This paper cites Gradient d escent learns linear dynamical systems.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Gradient d escent learns linear dynamical systems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.159384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 225c6cd0-1049-4b4a-a4bc-215e021deefd · outbound

This paper cites Recursive identiﬁcati on and adaptive prediction in linear stochastic systems.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Recursive identiﬁcati on and adaptive prediction in linear stochastic systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.148288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5abcc8ee-d06b-4962-a6a3-545fc2a2e6f0 · outbound

This paper cites On line learning for time series prediction.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret On line learning for time series prediction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.138068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae90cabf-635e-40cb-9a1d-ecc01307ad2c · outbound

This paper cites On-line learning of linear dynamical systems: Exponential forgetting in Kalma n ﬁlters.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret On-line learning of linear dynamical systems: Exponential forgetting in Kalma n ﬁlters

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.127297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48c5dfab-cac5-4af9-9d6d-6c255dd360b1 · outbound

This paper cites SLIP: Learning to predict in unknown dynamical systems with long-term memory.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret SLIP: Learning to predict in unknown dynamical systems with long-term memory

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.115476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 321da4d4-4092-4c05-ae72-2ae19b40dc53 · outbound

This paper cites Regret Analysis with Almost Sure Convergence for OBF-ARX Filter.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Regret Analysis with Almost Sure Convergence for OBF-ARX Filter

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:56:07.794369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f04a4c8-ba88-4936-b110-40ea6aeccfd6 · outbound

This paper cites Conc urrent learning adaptive control with directional forgetting.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Conc urrent learning adaptive control with directional forgetting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.103863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb9f0e34-3803-474a-9cf5-e43cedd46961 · outbound

This paper cites Online convex programming and gener alized inﬁnitesimal gradient ascent.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Online convex programming and gener alized inﬁnitesimal gradient ascent

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.092669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3e437726-88af-439e-aa63-3e30ef5359f2 · outbound

This paper cites Online Linear Regression in Dynamic Environments via Discounting.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Online Linear Regression in Dynamic Environments via Discounting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:56:07.633220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e023c711-edef-45bb-9c76-e02bf4e7cffa · outbound

This paper cites Exponential convergence of recursive least squares with ex ponential forgetting factor.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Exponential convergence of recursive least squares with ex ponential forgetting factor

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.082213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45328d91-f05b-4a8c-a67e-9dee7892c15a · outbound

This paper cites On the inﬂuence of the forgetting factor of the RLS adaptive ﬁlter i n system identiﬁcation.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret On the inﬂuence of the forgetting factor of the RLS adaptive ﬁlter i n system identiﬁcation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.070938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac345af5-6448-4784-ba81-dc21938e029e · outbound

This paper cites Generalized forgetti ng recursive least squares: Stability and robustness guarantees.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Generalized forgetti ng recursive least squares: Stability and robustness guarantees

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.059574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2657e229-5dfb-415a-a0c4-725f45cdc7a8 · outbound

This paper cites Algebraic Riccati Equations.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Algebraic Riccati Equations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.048425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45bd3f2f-7976-4f29-bf70-daa5959ad010 · outbound

This paper cites Consistency and asymptotic normal- ity of some subspace algorithms for systems without observe d inputs.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Consistency and asymptotic normal- ity of some subspace algorithms for systems without observe d inputs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.037856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e7b7255-6ebf-4ae4-b6e1-011ab90eb0db · outbound

This paper cites Applied regression analysis.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Applied regression analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.026224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6291094-473a-4520-8d7c-b16510330357 · outbound

This paper cites Logistic regression: The importance of being improper.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Logistic regression: The importance of being improper

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:08.015902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 491b1f56-ecec-4322-9e3e-cb37c667862a · outbound

This paper cites Prediction, learning, and games.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Prediction, learning, and games

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:56:07.661355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0e7c3ae-ce0a-4b34-8e39-5cc086ee63bf · outbound

This paper cites A robust variable forgetting factor recursive least-squares algorithm for system identiﬁcati on.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret A robust variable forgetting factor recursive least-squares algorithm for system identiﬁcati on

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.998651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6bb0bd51-db2a-448a-b7d5-57555026af55 · outbound

This paper cites Discounted a daptive online learning: Towards better regularization.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Discounted a daptive online learning: Towards better regularization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.988406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b62f2d3e-cf87-4d24-a8db-7f32bc3d5e02 · outbound

This paper cites Predictive Linear Online Tracking for Unknown Targets.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Predictive Linear Online Tracking for Unknown Targets

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:56:07.768945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c06ea74-afae-4bd6-bc9e-b49ed2329746 · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Improved algorithms for linear stochastic bandits

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.977967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2eae233a-b1f3-423d-9e7d-6a6d09034278 · outbound

This paper cites Ridge regression: B iased estimation for nonorthogonal problems.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Ridge regression: B iased estimation for nonorthogonal problems

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.967536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b42849a4-788b-41f5-a60f-8e388f010398 · outbound

This paper cites A bound on tail p robabilities for quadratic forms in independent random variables.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret A bound on tail p robabilities for quadratic forms in independent random variables

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.957508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 993828c2-2e14-45cc-8c22-48055fd9bbfd · outbound

This paper cites High-dimensional probability: An introduction with appli cations in data science, volume 47.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret High-dimensional probability: An introduction with appli cations in data science, volume 47

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:56:07.685881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5c9948-66de-4fac-a19d-5fd03f5b4a94 · outbound

This paper cites Cattivelli and Ali H.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Cattivelli and Ali H

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.940804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac840d8a-a7be-4c3d-84d3-bc6346d5357e · outbound

This paper cites Willems’ funda mental lemma for nonlinear systems with koopman linear embedding.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Willems’ funda mental lemma for nonlinear systems with koopman linear embedding

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.929930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1160d16b-5ada-4bc0-a7f3-c170adbe78c4 · outbound

This paper cites Adaptive estimat ion of a quadratic functional by model selection.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Adaptive estimat ion of a quadratic functional by model selection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.919702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c2b5bf8-b582-4660-968c-c8cf8520e5ce · outbound

This paper cites Sayed, and Babak Hassibi.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Sayed, and Babak Hassibi

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.907712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff1a991f-77bb-4f9d-b0ca-1dd72cc9e8cc · outbound

This paper cites Stochastic processes, estimation, and control.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Stochastic processes, estimation, and control

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.897048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea1100a3-c7e1-4351-ba05-7e1cd0fcfb15 · outbound

This paper cites The steady-state performance of the above recursion satisﬁe s the discrete-time algebraic Riccati equation P =APA T +Q −APC T( CPC T +R )−1 CPA T.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret The steady-state performance of the above recursion satisﬁe s the discrete-time algebraic Riccati equation P =APA T +Q −APC T( CPC T +R )−1 CPA T

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.885246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ef6a52f-6f33-4c89-aa4e-f5e7ec8f989f · outbound

This paper cites Denoteek =yk − ˆyk as the prediction error, also called innovation, at time step k.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Denoteek =yk − ˆyk as the prediction error, also called innovation, at time step k

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.873677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58bab826-0927-4c26-949f-f89bd7e15d4a · outbound

This paper cites an unresolved cited work.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:56:07.863359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30bec8aa-a323-47c3-a1b2-ac4be51d0f1e · outbound

This paper cites While for the term det ˜Z22 = det   ˜V2Tl−2 − p′−1∑ k=p DpZk,pZ T k,pDp  , conditioned on the event EPE and EZ, we have ‖ ‖ ‖ ( ΓZ k,p )−1/2 Zk,p ‖ ‖ ‖ 2 ≤ √ mp + √ 2 log 4k δ1.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret While for the term det ˜Z22 = det   ˜V2Tl−2 − p′−1∑ k=p DpZk,pZ T k,pDp  , conditioned on the event EPE and EZ, we have ‖ ‖ ‖ ( ΓZ k,p )−1/2 Zk,p ‖ ‖ ‖ 2 ≤ √ mp + √ 2 log 4k δ1

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.851683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81d17f54-88a4-467b-8f46-d81c06d73366 · outbound

This paper cites an unresolved cited work.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:56:07.840513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 955eec53-f2e0-4e03-bfdf-46fe468106dd · outbound

This paper cites an unresolved cited work.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:56:07.829228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29df953d-9a9c-4bc1-beea-da66bc49cdec · outbound

This paper cites an unresolved cited work.

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:56:07.817701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d45c72a5-d4c0-4e91-9af5-99e51d5df953 · outbound

This paper cites Together with the cross-term bound, we have for probability at lea st 1 − ( 3 + 5π2 6 ) δ1, there is RN ≤ poly ( M,m,β, log 1 δ1 ,d, ‖a‖2 ) log3(N ).

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret Together with the cross-term bound, we have for probability at lea st 1 − ( 3 + 5π2 6 ) δ1, there is RN ≤ poly ( M,m,β, log 1 δ1 ,d, ‖a‖2 ) log3(N )

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:56:07.805895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation b90249b7-8524-476c-9759-082d8df77eba · inbound

Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares cites this paper.

Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:40.717024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.