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Paper Citation Record · LEDGER

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2512.24075.

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

pith.paper-citation-record.v1
2512.24075 v5

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:31:10.576156Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7065afcc-bad0-4b40-a424-519a86a5f65b · outbound

This paper cites Factors affecting lane change crashes,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Factors affecting lane change crashes,

Reference 1

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doi, observed 2026-08-03T13:33:23.195944Z

Source-reported events for the cited work

correction dated 2021-03-27. Source: crossref record 10.1016/j.iatssr.2020.12.003->10.1016/j.iatssr.2019.12.002:correction, observed 2026-07-11T03:11:46.008861+00:00. This notice travels one citation hop only.

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Observation 69d22727-fe07-4135-a02c-42f20297e6bd · outbound

This paper cites Integrated driving behavior modeling,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Integrated driving behavior modeling,

Reference 2

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doi, observed 2026-08-03T13:33:23.093681Z

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Observation e0918f71-0063-4766-a446-9dfd9d971497 · outbound

This paper cites General lane -changing model MOBIL for car -following models,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction General lane -changing model MOBIL for car -following models,

Reference 3

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Observation 6ab17f17-9527-4183-9f37-65be810967d0 · outbound

This paper cites Recent developments and research needs in modeling lane -changing behavior,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Recent developments and research needs in modeling lane -changing behavior,

Reference 4

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Observation a3451dde-6c8c-433c-bfa1-80401cc87492 · outbound

This paper cites Online inference of lane changing events for connected and automated vehicle applications with analytical logistic diffusion stochastic differential equation,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Online inference of lane changing events for connected and automated vehicle applications with analytical logistic diffusion stochastic differential equation,

Reference 5

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Observation 421ed6f5-c591-4173-8b76-06573a8bcb3a · outbound

This paper cites Experimental validation of lane-change intention prediction based on action recognition network,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Experimental validation of lane-change intention prediction based on action recognition network,

Reference 6

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Observation 1827686e-3183-4159-b965-61de6164a597 · outbound

This paper cites An improved learning-based LSTM approach for lane change intention prediction subject to imbalanced data,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction An improved learning-based LSTM approach for lane change intention prediction subject to imbalanced data,

Reference 7

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Observation 5f52d91b-17fd-4944-8a2c-f5d12cdb74f2 · outbound

This paper cites MoCount: Motion-Based Repetitive Action Counting,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction MoCount: Motion-Based Repetitive Action Counting,

Reference 8

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Observation a7781ce7-41a1-420b-a6ca-b34349bbec20 · outbound

This paper cites A comparison of headway and time to collision as safety indicators,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction A comparison of headway and time to collision as safety indicators,

Reference 9

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doi, observed 2026-08-03T13:33:23.042987Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ee045703-cc60-4d24-ad36-4404375c2d5a · outbound

This paper cites Vehicle -Level Safety Validation of AD/ADAS Systems via Extreme Value Analysis,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Vehicle -Level Safety Validation of AD/ADAS Systems via Extreme Value Analysis,

Reference 10

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doi, observed 2026-08-03T13:33:22.869742Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cc40730d-50d2-4fd5-8715-d61f6278def8 · outbound

This paper cites Safety assured online guidance with airborne separation for urban air mobility operations in uncertain environments,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Safety assured online guidance with airborne separation for urban air mobility operations in uncertain environments,

Reference 11

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Observation 6d16c4e0-a984-4566-9dbe-ba51f46da73e · outbound

This paper cites Cascading Credit Risk Assessment in Multiplex Supply Chain Networks,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Cascading Credit Risk Assessment in Multiplex Supply Chain Networks,

Reference 12

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Observation ef507cd7-d7ce-4e5f-945f-e40992bfa172 · outbound

This paper cites Human Motion Instruction Tuning,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Human Motion Instruction Tuning,

Reference 13

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source=pdf_text observed=2026-08-03T13:31:09.440531Z digest=sha256:3b946b8c6980a34fc011a5ba9cd927a80e9f7bf47f0c5b9b48b46b6704253c22

Observation 5adc12fe-6a39-4a58-b4ab-973ea184291a · outbound

This paper cites ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis

Reference 14

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Observation 7685188c-663c-401c-b8a3-d29353f10c4a · outbound

This paper cites Gradient boosting machines, a tutorial,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Gradient boosting machines, a tutorial,

Reference 15

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Observation 5aaa42d3-897f-4fd6-b608-e85c569f6c5b · outbound

This paper cites Reinforcement Learning Approach for Highway Lane- Changing: PPO-Based Strategy Design,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Reinforcement Learning Approach for Highway Lane- Changing: PPO-Based Strategy Design,

Reference 16

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Observation 7c1c360a-e32d-43d1-baba-618ae0dc3bff · outbound

This paper cites Energy -Constrained Motion Planning and Scheduling for Autonomous Robots in Complex Environments,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Energy -Constrained Motion Planning and Scheduling for Autonomous Robots in Complex Environments,

Reference 17

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Observation 7f85c3d8-e61f-4e24-850a-1bc84f1f43b4 · outbound

This paper cites Predicting asphalt pavement friction by using a texture-based image indicator,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Predicting asphalt pavement friction by using a texture-based image indicator,

Reference 18

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Observation 19a0400e-5ec4-471c-bae9-306232e52006 · outbound

This paper cites Depth -aware super -resolution via distance -adaptive variational formulation,.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Depth -aware super -resolution via distance -adaptive variational formulation,

Reference 19

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Observation b304f44c-a952-4223-a805-44ea9c46cb32 · outbound

This paper cites ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Reference 20

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Observation ea80281b-b8c8-40b7-a35f-c1b13e144ed7 · outbound

This paper cites GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation.

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation

Reference 21

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Pith citing papers

No inbound Pith citation observations are available.