Paper Citation Record · LEDGER

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2509.04213.

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

pith.paper-citation-record.v1
2509.04213 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:22:04.819171Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

31 of 31 outbound references displayed

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verified fuzzy20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3668da9-30fc-4915-a884-125272bdd12e · outbound

This paper cites A new approach to linear filtering and prediction problems,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF A new approach to linear filtering and prediction problems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.238591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb4d5c58-0133-497a-94ad-945823178303 · outbound

This paper cites New extension of the Kalman filter to nonlinear systems,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF New extension of the Kalman filter to nonlinear systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.227475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1b149b6-16a5-4d5b-bd49-eeb2bc9b252d · outbound

This paper cites Neural extended Kalman filters for learning and predicting dynamics of structural systems,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Neural extended Kalman filters for learning and predicting dynamics of structural systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.214610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b634b4d-836b-4201-983b-3609ee7559c3 · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understand- ing,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF BERT: Pre- training of deep bidirectional transformers for language understand- ing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.202146Z

Source-reported events for the cited work

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Observation abbc349c-5631-4be5-921c-e75f7ec9c381 · outbound

This paper cites Language models are unsupervised multitask learners,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Language models are unsupervised multitask learners,

Reference 6

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Source-reported events for the cited work

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Observation a7586608-0a9f-425a-8522-ba25f919a289 · outbound

This paper cites On Foundation Models for Dynamical Systems from Purely Synthetic Data.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF On Foundation Models for Dynamical Systems from Purely Synthetic Data

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:22:04.921676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a86ce33a-3407-415f-b458-007044067049 · outbound

This paper cites Zero-shot Imputation with Foundation Inference Models for Dynamical Systems.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Zero-shot Imputation with Foundation Inference Models for Dynamical Systems

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:22:04.903944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb6532d3-3bec-45d1-907a-f9767edf8d5c · outbound

This paper cites FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:22:04.884992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5808ea5b-2bfb-4797-af7d-02fa6d4d8a11 · outbound

This paper cites In- context learning of state estimators,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF In- context learning of state estimators,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.181849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0aa8afe4-7f81-4e0a-b0dc-be8ca177a19e · outbound

This paper cites State of art on state estimation: Kalman filter driven by machine learning,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF State of art on state estimation: Kalman filter driven by machine learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.168412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 738f31c4-80a4-4041-9790-e207be4ebd17 · outbound

This paper cites RL-AKF: An adaptive Kalman filter navigation algorithm based on reinforcement learning for ground vehicles,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF RL-AKF: An adaptive Kalman filter navigation algorithm based on reinforcement learning for ground vehicles,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.154105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e859dff6-ee24-4e3c-8419-6d992585439a · outbound

This paper cites Kalmannet: Neural network aided Kalman filtering for partially known dynamics,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Kalmannet: Neural network aided Kalman filtering for partially known dynamics,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.140408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b834131b-0d16-44de-97bb-c693931fb531 · outbound

This paper cites A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.127476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 131d2fb2-d4a9-46b3-88b9-33aa2a8c22b0 · outbound

This paper cites A Survey on In-context Learning,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF A Survey on In-context Learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.114540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

This paper cites Can a Transformer Represent a Kalman Filter?.

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

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Observation 58a2a796-07ac-4a99-8dbd-af805632e8f9 · outbound

This paper cites A decoder-only foundation model for time-series forecasting,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF A decoder-only foundation model for time-series forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.102759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50269bec-98b3-43c3-848b-69d96d3dc333 · outbound

This paper cites Timer: Generative pre-trained transformers are large time series models,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Timer: Generative pre-trained transformers are large time series models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.091499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f5d07ca-e694-4100-bf45-17a4164536c9 · outbound

This paper cites Unified training of universal time series forecasting transformers,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Unified training of universal time series forecasting transformers,

Reference 19

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Source-reported events for the cited work

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Observation ed17c2e3-e89a-481d-a107-ed45816de329 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF On the Opportunities and Risks of Foundation Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T10:22:04.775664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e1c5b2-6cd4-4ddf-9d20-6a9b85ccdcdb · outbound

This paper cites The unscented Kalman filter,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF The unscented Kalman filter,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.071733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b183d23-567b-4a62-a527-b57d728722d7 · outbound

This paper cites Nonlinear filtering using random particles,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Nonlinear filtering using random particles,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.058793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 121fe0f8-47f0-4a4d-98f7-9343e4a3dfba · outbound

This paper cites an unresolved cited work.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:22:05.046293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e817b928-8cc9-42cb-ba5a-f5e0e54c6121 · outbound

This paper cites Bitzer, The UKF exposed: How it works, when it works and when it’s better to sample , Zenodo, 2016.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Bitzer, The UKF exposed: How it works, when it works and when it’s better to sample , Zenodo, 2016

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.033230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0cbae43e-6f54-48d2-b3c7-f858d066da5f · outbound

This paper cites Attention is all you need,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Attention is all you need,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633f3307-3325-4b13-bb91-efefdff4fad3 · outbound

This paper cites Robust estimation of a location parameter,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Robust estimation of a location parameter,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:05.012872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0912f20-4171-4402-8969-4f2c1658cb0c · outbound

This paper cites Why gradient clipping accelerates training: A theoretical justification for adaptivity.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Why gradient clipping accelerates training: A theoretical justification for adaptivity

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T10:22:04.800612Z

Source-reported events for the cited work

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Observation b6965d5e-e14e-4036-a151-caca7e8203f0 · outbound

This paper cites On the coupled motion of steering and rolling of a high speed container ship,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF On the coupled motion of steering and rolling of a high speed container ship,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:04.997797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2725338c-5370-4905-adfa-57767bd2f996 · outbound

This paper cites an unresolved cited work.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:22:04.985361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a4fb18c-c175-4567-ba28-b2d3e6ce1065 · outbound

This paper cites Pink noise is all you need: Colored noise exploration in deep reinforcement learning,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Pink noise is all you need: Colored noise exploration in deep reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:04.973577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e5f00bbf-6401-4488-a36d-a0ee7d2e2aac · outbound

This paper cites Weak in the NEES?: Auto-tuning Kalman filters with Bayesian optimization,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF Weak in the NEES?: Auto-tuning Kalman filters with Bayesian optimization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:04.960843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd44344c-1ac8-448f-8cf4-960a30d0a7da · outbound

This paper cites A mnemonic Kalman filter for non-linear systems with extensive temporal dependencies,.

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF A mnemonic Kalman filter for non-linear systems with extensive temporal dependencies,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:22:04.947633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

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