Paper Citation Record · LEDGER

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.18860.

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2607.18860 v1

Coverage vector

measured 38 of 38 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T14:10:00.762999Z

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 8638e17a-3a4d-4bfd-84f4-b044cf62424b · outbound

This paper cites A review of early warning methods of thermal runaway of lithium ion batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals A review of early warning methods of thermal runaway of lithium ion batteries,

Reference 1

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Observation 825313a7-a1ed-49dc-b97e-50c3124d024f · outbound

This paper cites Mitigation strategies for li-ion battery thermal runaway: A review,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Mitigation strategies for li-ion battery thermal runaway: A review,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:09:59.290724Z

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Observation c33dcaa8-8d47-4ada-afb4-79c8827bb745 · outbound

This paper cites Effect of thermal impact on the onset and propagation of thermal runaway over cylindrical li-ion batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Effect of thermal impact on the onset and propagation of thermal runaway over cylindrical li-ion batteries,

Reference 3

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Observation 12edc07c-b83b-48f6-9c77-2291d1c102c8 · outbound

This paper cites Monitoring thermal runaway of lithium-ion batteries by means of gas sensors,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Monitoring thermal runaway of lithium-ion batteries by means of gas sensors,

Reference 4

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Observation cf0fd37a-972d-4d99-b3ac-d08bf190adc1 · outbound

This paper cites Thermal runaway early warning and risk estimation based on gas production characteristics of different types of lithium- ion batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Thermal runaway early warning and risk estimation based on gas production characteristics of different types of lithium- ion batteries,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T14:09:59.458404Z

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Observation 3df4a166-1650-42a5-a16b-3c753d44d3da · outbound

This paper cites Reliable and early warning of lithium-ion battery thermal runaway based on electrochemical impedance spectrum,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Reliable and early warning of lithium-ion battery thermal runaway based on electrochemical impedance spectrum,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:09:59.480591Z

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Observation b576545a-888d-4672-9472-78e1f0336528 · outbound

This paper cites Real-time overcharge warning and early thermal runaway prediction of li-ion battery by online impedance measurement,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Real-time overcharge warning and early thermal runaway prediction of li-ion battery by online impedance measurement,

Reference 7

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Observation 5890ea21-49db-41e1-a8cf-e3c73f8f8a1d · outbound

This paper cites An online data-driven fault diagnosis and thermal runaway early warning for electric vehicle batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals An online data-driven fault diagnosis and thermal runaway early warning for electric vehicle batteries,

Reference 8

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Observation a2c88c09-3557-400a-856c-d70045c8b13e · outbound

This paper cites Case study of an electric vehicle battery thermal runaway and online internal short-circuit detection,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Case study of an electric vehicle battery thermal runaway and online internal short-circuit detection,

Reference 9

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Observation 8cef5e73-ebe0-47a4-9620-837ae08a5fb2 · outbound

This paper cites Developing an online data- driven approach for prognostics and health management of lithium-ion batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Developing an online data- driven approach for prognostics and health management of lithium-ion batteries,

Reference 10

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Observation c64a8ab3-faac-4d66-9929-253d7d1c4afc · outbound

This paper cites Model-constrained deep learning for online fault diagnosis in li-ion batteries over stochastic conditions,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Model-constrained deep learning for online fault diagnosis in li-ion batteries over stochastic conditions,

Reference 11

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Observation dece70ab-0ecb-46ac-a0f3-c45297ac8df5 · outbound

This paper cites Are transformers effective for time series forecasting?.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Are transformers effective for time series forecasting?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T14:09:59.682553Z

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Observation 65191689-8373-410f-a40e-9ce0c117c36c · outbound

This paper cites Cylindrical battery fault detec- tion under extreme fast charging: A physics-based learning approach,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Cylindrical battery fault detec- tion under extreme fast charging: A physics-based learning approach,

Reference 13

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Observation 0c18eb6f-6b6c-4568-9221-24d8e8e6dbf1 · outbound

This paper cites Multi-source domain transfer learning with small sample learning for thermal runaway diagnosis of lithium-ion battery,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Multi-source domain transfer learning with small sample learning for thermal runaway diagnosis of lithium-ion battery,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:09:59.764137Z

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Observation 0c51725a-3481-4c63-a120-5663d88ec3e8 · outbound

This paper cites Mechanism of heat transfer suppression and safety evaluation of high-performance aerogel insulation materials in the ther- mal runaway propagation of lithium-ion batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Mechanism of heat transfer suppression and safety evaluation of high-performance aerogel insulation materials in the ther- mal runaway propagation of lithium-ion batteries,

Reference 15

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Observation 6f3d5fe4-bbdc-4ab0-86d2-3a13c739ed70 · outbound

This paper cites Non-uniform phase change material strategy for direc- tional mitigation of battery thermal runaway propagation,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Non-uniform phase change material strategy for direc- tional mitigation of battery thermal runaway propagation,

Reference 16

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Observation 18106d0b-4b93-4641-bb09-dd29527396f9 · outbound

This paper cites An integrated methodology for dynamic risk prediction of thermal runaway in lithium-ion batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals An integrated methodology for dynamic risk prediction of thermal runaway in lithium-ion batteries,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T14:09:59.904126Z

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Observation 845c6782-8c7e-41ae-aa7f-0c28ef569396 · outbound

This paper cites Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks,

Reference 18

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Observation ee1dffeb-540f-48b9-be74-2dcef1e306ce · outbound

This paper cites Real-time knowledge- and data-driven reliability analysis for lithium-ion battery energy storage system by Bayesian fault propagation network,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Real-time knowledge- and data-driven reliability analysis for lithium-ion battery energy storage system by Bayesian fault propagation network,

Reference 19

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Observation 134d7673-6759-4949-b553-f5537e7fa6ed · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T14:10:00.078401Z

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Observation 747e61bb-e332-4ceb-864c-ef1f9188040a · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 21

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Observation 959b93b9-8d45-484a-9b77-a59e4b8a9911 · outbound

This paper cites iTransformer: Inverted transformers are effective for time series forecasting,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals iTransformer: Inverted transformers are effective for time series forecasting,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T14:10:00.161223Z

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Observation 814f3e73-7c87-448b-b910-591d187cba3b · outbound

This paper cites ETSformer: Exponen- tial smoothing transformers for time-series forecasting,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals ETSformer: Exponen- tial smoothing transformers for time-series forecasting,

Reference 23

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Observation 94b9fefb-bd67-47e6-93a9-b203a059667a · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Non-stationary transformers: Exploring the stationarity in time series forecasting,

Reference 24

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Observation cfcd6663-e8d0-485c-a93c-24d0ba26682e · outbound

This paper cites Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,

Reference 25

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Observation 893632d9-d664-4795-a4dd-ba29db1788c0 · outbound

This paper cites Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 26

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Observation f6bf95a3-9164-4b6d-b985-a7fdd63cea01 · outbound

This paper cites TSMixer: An all-MLP architecture for time series forecasting,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals TSMixer: An all-MLP architecture for time series forecasting,

Reference 27

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Observation 2be85fa4-0094-451a-8db0-d8e42d7b4243 · outbound

This paper cites Long-term forecasting with TiDE: Time-series dense encoder,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Long-term forecasting with TiDE: Time-series dense encoder,

Reference 28

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Observation 192d17dc-50c8-4d70-9792-dc94dff299c1 · outbound

This paper cites N-HiTS: Neural hierarchical interpolation for time series forecasting,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals N-HiTS: Neural hierarchical interpolation for time series forecasting,

Reference 29

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Observation b5a4bce5-ae90-4a2f-851c-dff9acaa2a75 · outbound

This paper cites Development of a robust early-stage thermal runaway detection model for lithium-ion batteries,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Development of a robust early-stage thermal runaway detection model for lithium-ion batteries,

Reference 30

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Observation 0d9a1f50-b4b5-49ed-93b8-1b4a4bd50da7 · outbound

This paper cites Study on thermal runaway characteristics of lithium batteries under high-rate charge/discharge and development of a deep learning-based early warning model,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Study on thermal runaway characteristics of lithium batteries under high-rate charge/discharge and development of a deep learning-based early warning model,

Reference 31

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Observation 08d7149c-3c1f-4855-a024-8110f1b95a47 · outbound

This paper cites Fault cause inferences of onboard lithium-ion battery thermal runaway using convolutional neural network,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Fault cause inferences of onboard lithium-ion battery thermal runaway using convolutional neural network,

Reference 32

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Observation c4f81c54-234d-4030-9877-0b87f1eb809a · outbound

This paper cites Fault detection for li-ion batteries of electric vehicles with feature-augmented attentional autoencoder,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Fault detection for li-ion batteries of electric vehicles with feature-augmented attentional autoencoder,

Reference 33

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Observation 56dab422-86bd-4c23-b412-5640fae9971c · outbound

This paper cites V oltage faults diagnosis for lithium-ion batteries in electric vehicles using optimized graphical neural network,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals V oltage faults diagnosis for lithium-ion batteries in electric vehicles using optimized graphical neural network,

Reference 34

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Observation d0caef85-5b39-4ad6-8477-0694735b1617 · outbound

This paper cites An IMFO-LSTM-BiGRU combined network for long- term multiple battery states prediction for electric vehicles,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals An IMFO-LSTM-BiGRU combined network for long- term multiple battery states prediction for electric vehicles,

Reference 35

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Observation bda44d13-6701-4d8e-8c57-916c43abb311 · outbound

This paper cites Deep learning and polarization equilibrium based state of health estimation for lithium-ion battery using partial charging data,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Deep learning and polarization equilibrium based state of health estimation for lithium-ion battery using partial charging data,

Reference 36

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Observation 04d2ed31-07cd-4701-a4fa-0862b622f295 · outbound

This paper cites Thermal runaway mechanism of lithium ion battery for electric vehicles: A review,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Thermal runaway mechanism of lithium ion battery for electric vehicles: A review,

Reference 37

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Observation 84090b7a-a68a-4727-98ad-e6e754df0885 · outbound

This paper cites Temporal convolutional network– transformer hybrid architecture with hippo optimization for lithium battery SOC estimation,.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Temporal convolutional network– transformer hybrid architecture with hippo optimization for lithium battery SOC estimation,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T14:10:00.762999Z

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