Paper Citation Record · LEDGER

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 3 inbound Pith citation observations for arXiv:2411.13885.

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

pith.paper-citation-record.v1
2411.13885 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:51:42.672454Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:56:02.886868Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:57:28.681698Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy11
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bce0157-4765-4757-9f1b-d3624e329cb6 · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.543507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7333975a-986d-42d6-a389-bff80f74d813 · outbound

This paper cites Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategies.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategies

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.481785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95842784-8fc9-4948-8dbd-7ac810d05263 · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.525215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ea636ac-8743-4c90-824c-237f84b09519 · outbound

This paper cites GraphSnapShot: Caching Local Structure for Fast Graph Learning.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient GraphSnapShot: Caching Local Structure for Fast Graph Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.496271Z

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Observation 9bf83bc8-4ad5-4e7c-a5da-4eba83e93028 · outbound

This paper cites Distance Recomputator and Topology Reconstructor for Graph Neural Networks[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Distance Recomputator and Topology Reconstructor for Graph Neural Networks[J]

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.502299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd934a30-bb1a-45cf-8ed3-f52fbae14619 · outbound

This paper cites Enhanced Detection Classification via Clustering SVM for Various Robot Collaboration Task.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Enhanced Detection Classification via Clustering SVM for Various Robot Collaboration Task

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.507499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3c3eeb-e44e-4598-886e-e522c196e176 · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.508583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 52de1e93-79cc-48ed-88e6-b4e76529eaf3 · outbound

This paper cites A benchmark comparison of imitation learning-based control policies for autonomous racing[C]//2023 IEEE Intelligent Vehicles Symposium (IV).

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient A benchmark comparison of imitation learning-based control policies for autonomous racing[C]//2023 IEEE Intelligent Vehicles Symposium (IV)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.489934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7df13024-38c9-44b6-a10f-fdb69b5c5b37 · outbound

This paper cites AV4EV: Open -Source Modular Autonomous Electric Vehicle Platform for Making Mobility Research Accessible[C]//2024 IEEE Intelligent Vehicles Symposium (IV).

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient AV4EV: Open -Source Modular Autonomous Electric Vehicle Platform for Making Mobility Research Accessible[C]//2024 IEEE Intelligent Vehicles Symposium (IV)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.467697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9b873a8-fd56-4e5a-be40-9a65c1b85168 · outbound

This paper cites Plgslam: Progressive neural scene represenation with local to global bundle adjustment[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Plgslam: Progressive neural scene represenation with local to global bundle adjustment[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.448386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61538700-18b8-43d4-b9f9-fafc873c1450 · outbound

This paper cites Leveraging artificial intelligence to enhance data security and combat cyber attacks[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Leveraging artificial intelligence to enhance data security and combat cyber attacks[J]

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.534741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7373490-bb4f-4002-a184-775d4778465e · outbound

This paper cites DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.539708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2829137-f78f-46a2-9f80-d6a44c1b4b3d · outbound

This paper cites Research and implementation of traffic sign recognition algorithm model based on machine learning[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Research and implementation of traffic sign recognition algorithm model based on machine learning[J]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.413450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92e5360f-5650-4edf-b48e-053ae1a76ee3 · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.393305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c173ef76-b01d-409d-81fc-c14bff1b5a6c · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.373897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f158d051-7207-498f-bde1-a51f1c56161d · outbound

This paper cites A Mixed -Heuristic Quantum -Inspired Simplified Swarm Optimization Algorithm for scheduling of real -time tasks in the multiprocessor system[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient A Mixed -Heuristic Quantum -Inspired Simplified Swarm Optimization Algorithm for scheduling of real -time tasks in the multiprocessor system[J]

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.355198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f075943-50c7-4ebd-9a9a-8978817f38ba · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.334231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 698df8bc-637a-4670-baf8-266439938e47 · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.314172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a9ec0e0-efa3-48cd-ba41-5fc7209c4d7c · outbound

This paper cites Deep Learning -Based Snore Sound Analysis for the Detection of Night-time Breathing Disorders[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Deep Learning -Based Snore Sound Analysis for the Detection of Night-time Breathing Disorders[J]

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.294386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cae0f4f6-8af3-48b1-83ee-b9ea2136688e · outbound

This paper cites Real-Time Pill Identification for the Visually Impaired Using Deep Learning.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Real-Time Pill Identification for the Visually Impaired Using Deep Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.582257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0878581c-94e4-47d2-a5aa-82980c9e3937 · outbound

This paper cites Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.588911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7774f2-fc1b-43b9-96aa-a46ec42522ac · outbound

This paper cites Learning Speed Adaptation for Flight in Clutter[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Learning Speed Adaptation for Flight in Clutter[J]

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.273154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84147f2d-ea55-4795-ab11-86c02ba009b2 · outbound

This paper cites Enhanced Credit Score Prediction Using Ensemble Deep Learning Model.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Enhanced Credit Score Prediction Using Ensemble Deep Learning Model

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:51:42.914696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe1b081e-0827-4c4b-85f9-7e4ba31784a2 · outbound

This paper cites Long -term visual simultaneous localization and mapping: Using a bayesian persistence filter -based global map prediction[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Long -term visual simultaneous localization and mapping: Using a bayesian persistence filter -based global map prediction[J]

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.253451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5bf1969d-d886-4b3d-b467-1006297310c9 · outbound

This paper cites Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.615301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7cfcc57-0f7c-41b9-83e3-30c60ef9b60d · outbound

This paper cites Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudging

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.623760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2162973f-0a48-48fc-a75b-29a2054316cf · outbound

This paper cites Big data and machine learning in defence[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Big data and machine learning in defence[J]

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.629764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3edc4d1b-606f-4adf-89d3-e0b51e66e9a9 · outbound

This paper cites an unresolved cited work.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:51:43.222330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79308350-641e-4fc9-aa99-6cacb5e7ddfb · outbound

This paper cites An Ensemble Approach to Stock Price Prediction Using Deep Learning and Time Series Models[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient An Ensemble Approach to Stock Price Prediction Using Deep Learning and Time Series Models[J]

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.644458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8453c76-b153-4dd9-a76b-c0ebfd543d66 · outbound

This paper cites Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.195538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e7b5545-bec3-4fe2-b291-f31b331f988f · outbound

This paper cites Graph neural network recommendation system for football formation[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Graph neural network recommendation system for football formation[J]

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.177838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b8d8c40-1642-48ce-9d10-e4378e352dca · outbound

This paper cites Incorporating economic indicators and market sentiment effect into US Treasury bond yield prediction with machine learning.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Incorporating economic indicators and market sentiment effect into US Treasury bond yield prediction with machine learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:51:43.156038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7baff031-bac7-4c0b-a7bc-a0aed5b2a487 · outbound

This paper cites LLMEasyQuant --An Easy to Use Toolkit for LLM Quantization[J].

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient LLMEasyQuant --An Easy to Use Toolkit for LLM Quantization[J]

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.666941Z

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Unavailable: canonical work link unavailable.

Observation cfffa00a-3e05-49a1-ba99-46f043ddcefc · outbound

This paper cites Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection.

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:42.672454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 06ea889e-a917-407b-9616-913fb56216d2 · inbound

Construction and optimization of health behavior prediction model for the elderly in smart elderly care cites this paper.

Construction and optimization of health behavior prediction model for the elderly in smart elderly care Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T23:56:02.886868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e04b3e1-7e71-41d6-b935-327412e061d5 · inbound

Optimized CNNs for Rapid 3D Point Cloud Object Recognition cites this paper.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.291127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41716f8e-f148-4b3a-b05a-15cdec735db6 · inbound

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis cites this paper.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-08-11T21:57:28.685402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.