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Paper Citation Record · LEDGER

INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 62 inbound Pith citation observations for arXiv:1910.03088.

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

pith.paper-citation-record.v1
1910.03088 v1

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measured 0 of 0 reference resolution

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measured 62 of 62 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 62 of 62 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:47.509901Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-07-10T16:57:24.462554Z

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Pith citing papers

Observation 605d3670-685d-43fd-aa31-af5aa6d251e1 · inbound

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting cites this paper.

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 52

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arxiv_id, observed 2026-05-12T20:16:37.438424Z

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Observation 86bf5ded-165e-4ed4-82d7-9c98bd5d8d21 · inbound

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving cites this paper.

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 54

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arxiv_id, observed 2026-05-23T20:23:24.597256Z

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Observation db5c1d49-4ebb-4189-831c-0ffd9f5325fa · inbound

InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving cites this paper.

InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 27

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Observation 6cd2a6ef-6fcc-44ff-a9e5-cdcdd89a267d · inbound

Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections cites this paper.

Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 19

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source=pdf_text observed=2026-08-12T06:03:40.902031Z digest=sha256:38c2231a3326ed8ed20afa504715cd0363ff5cdb81dc4a9704e9e751fb42e9e0

Observation eef3d4ae-4d03-40a0-a524-673259647c00 · inbound

How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning cites this paper.

How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 32

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Observation 9901a2d0-b7fd-469d-bf00-fdffa56d108e · inbound

Dream to Drive with Predictive Individual World Model cites this paper.

Dream to Drive with Predictive Individual World Model INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 63

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source=pdf_text observed=2026-08-10T11:08:53.188509Z digest=sha256:06e4e6aa06790bb5e7a12a78682f429c9d5ff2ab2dff8bbd537737139939aff7

Observation f0c77984-a447-47b4-b5d6-5f9134cdee09 · inbound

Conditional Prediction by Simulation for Automated Driving cites this paper.

Conditional Prediction by Simulation for Automated Driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 17

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source=pdf_text observed=2026-08-09T05:18:41.250437Z digest=sha256:2900e4d902e2418edbbf2da8f747225e9a8745d3f37c99d9a267b9d2714644d6

Observation 69cc693a-b125-4b99-8977-e8230e6a768c · inbound

Motion Forecasting for Autonomous Vehicles: A Survey cites this paper.

Motion Forecasting for Autonomous Vehicles: A Survey INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 74

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source=arxiv_source observed=2026-08-08T15:54:34.227603Z digest=sha256:8f1acf42fd1d0a73b50e3d400075e043719f2419fedc1151658e5672422f78ac

Observation ce4ede8d-a92d-4aa4-af2c-ecacabd79d6c · inbound

Rolling Ahead Diffusion for Traffic Scene Simulation cites this paper.

Rolling Ahead Diffusion for Traffic Scene Simulation INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 35

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source=arxiv_source observed=2026-08-07T21:03:26.148127Z digest=sha256:e2f69483e3c5ad4e1ca8dfde441b45fdc14dc4ecb3c82a328e9cd63cb9126a79

Observation 1bf340a1-0b3e-4342-886b-1da5e5b20265 · inbound

Collaborative Perception Datasets for Autonomous Driving: A Review cites this paper.

Collaborative Perception Datasets for Autonomous Driving: A Review INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 44

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source=pdf_text observed=2026-08-16T12:28:47.509901Z digest=sha256:ce484789565850ccdd25e90afe50400a613f9fd13d8c810c3fdb0323f4f52c43

Observation ca974c08-d3f3-41d4-bd77-c91f376d2bd8 · inbound

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling cites this paper.

Learning Isometric Embeddings of Road Networks using Multidimensional Scaling INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 18

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source=pdf_text observed=2026-08-16T10:41:09.532241Z digest=sha256:ba3550612cda26e8e52af2b4f059c14575205fb6b68c17fb3396f837f803a027

Observation 3dc7b80e-6557-41d4-b98d-39865f019a94 · inbound

Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions cites this paper.

Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 36

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source=pdf_text observed=2026-08-16T05:42:31.224472Z digest=sha256:e03c03ef96792179088579d67a82e0f62fc6417d561fd9a94a3edb1ca4301073

Observation f70ae758-f8e5-4bc2-ae88-8f87ab6c189c · inbound

Generative AI for Autonomous Driving: Frontiers and Opportunities cites this paper.

Generative AI for Autonomous Driving: Frontiers and Opportunities INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 117

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source=pdf_text observed=2026-08-15T21:49:13.010589Z digest=sha256:c68b99318605cd01863eff9f65264ef513efa114c524086bf9133bbd85d9ce84

Observation f033333d-167e-43da-b078-0eec4662f3f8 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 265

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source=pdf_text observed=2026-08-07T15:24:07.386944Z digest=sha256:f75c00dac5fde0a9ef4675280914f1e06071e26c7db629ed6b7e5c1e0cc75380

Observation bb28c686-5f46-453c-ac39-d00e7c280d9a · inbound

Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections cites this paper.

Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 22

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source=pdf_text observed=2026-08-07T01:06:46.188707Z digest=sha256:4101d96d9432d9ae4b25ab4514dcfd50a8a75af06e4aa34e40c45a681cd16794

Observation 8c132fe6-d30d-48f2-9caf-efb6e0fa4f3a · inbound

Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models cites this paper.

Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 29

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Observation 432a0e2f-8b4f-43a1-8f30-1a81cc614ea5 · inbound

Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset cites this paper.

Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 12

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Observation 9b297e78-aca1-42f4-93be-da74552c9177 · inbound

A New Perspective On AI Safety Through Control Theory Methodologies cites this paper.

A New Perspective On AI Safety Through Control Theory Methodologies INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 254

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source=pdf_text observed=2026-08-06T21:38:42.957293Z digest=sha256:702b589cd20a324abcf34ad0b1f662d5b3ece4b7b1c2f5b6479f62897046bf62

Observation 92313eed-c995-4af8-928e-2f7a98412948 · inbound

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization cites this paper.

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 22

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source=pdf_text observed=2026-08-06T20:34:37.314511Z digest=sha256:cf4fe80fbaf7cb4bb35e81a28c6fdf53470dfaf6b65b2d1d59da7f983d8d2b84

Observation 10e3db20-c524-481d-851f-08ef768c1d4b · inbound

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement cites this paper.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 34

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source=pdf_text observed=2026-08-06T19:56:40.684521Z digest=sha256:da3e6719beeb2c730dcd1e1d8f09d3ce336c87b5b557efc3ce72c65cd14074b1

Observation 1cb7cbe5-5da3-436c-a6f0-303a4027eb7e · inbound

What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies cites this paper.

What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 256

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source=pdf_text observed=2026-08-06T19:06:09.176131Z digest=sha256:5b5059ac4e1fc0cd275eeaa93631f6acfa6bac02d1b63e80e59c36306bfe0ff9

Observation f3b8b482-de03-4f2b-ac21-f27c67153995 · inbound

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture cites this paper.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 68

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source=pdf_text observed=2026-08-06T19:07:19.355271Z digest=sha256:7f2687711ba06d801589a484f69e5c700b51edbafa1d8ba65275db4e9d64ce32

Observation da939e19-12a4-4505-ada8-f3f58a25895b · inbound

Optimal Control of Hybrid Systems via Measure Relaxations cites this paper.

Optimal Control of Hybrid Systems via Measure Relaxations INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 35

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source=pdf_text observed=2026-08-15T18:05:14.972636Z digest=sha256:4e27fceba72f7672507d23ec558390cb84197ced6ac211c1b13b035952e72b63

Observation 29f9028a-db73-43d0-be06-e1960ce0709a · inbound

H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving cites this paper.

H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 55

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source=pdf_text observed=2026-08-06T05:53:25.656263Z digest=sha256:a21b48275da1118db3c7d071e807e89fca7ee5c91ad679ba891a97dde230a4c7

Observation b3d01a90-94bc-4865-97fc-ed3737318b05 · inbound

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 258

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source=pdf_text observed=2026-08-05T22:06:55.717125Z digest=sha256:a151ea67d08eb1830a959d745d3202fa39fef08e6716d1f93e5c0fdb1d938340

Observation 5fcdd24a-7fa4-49bd-a591-21301161af44 · inbound

LLM-based Human-like Traffic Simulation for Self-driving Tests cites this paper.

LLM-based Human-like Traffic Simulation for Self-driving Tests INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 2019

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Observation d9bd7f95-5da9-40e8-8825-cd8b62d2e019 · inbound

Adaptive Output Steps: FlexiSteps Network for Dynamic Trajectory Prediction cites this paper.

Adaptive Output Steps: FlexiSteps Network for Dynamic Trajectory Prediction INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 18

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source=pdf_text observed=2026-08-05T16:50:03.004428Z digest=sha256:50085f8f34f6026d3f1a5ca3e961090507c8e9d474dee3b114fec5a466d5b977

Observation 731c4862-738c-4982-b9fc-9cc481bb2426 · inbound

Escaping Stability-Plasticity Dilemma in Online Continual Learning for Motion Forecasting via Synergetic Memory Rehearsal cites this paper.

Escaping Stability-Plasticity Dilemma in Online Continual Learning for Motion Forecasting via Synergetic Memory Rehearsal INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 43

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source=pdf_text observed=2026-08-05T15:45:03.043338Z digest=sha256:735a3b42f88e8c159e144743e80912711789bc06f98cb0b9e0dae75c2e28160b

Observation eb617a7c-9b48-45c2-8c66-7ce110a0414b · inbound

Complementary Learning System Empowers Online Continual Learning of Vehicle Motion Forecasting in Smart Cities cites this paper.

Complementary Learning System Empowers Online Continual Learning of Vehicle Motion Forecasting in Smart Cities INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 30

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source=pdf_text observed=2026-08-05T15:43:26.107677Z digest=sha256:a297f93bf5bdf991a8115baaa68a34a8df8835b67eb08e606f8c1cc087627684

Observation 7951d9fc-b9cf-4ad5-ad03-ebc6ce0ffb74 · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 257

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source=pdf_text observed=2026-08-05T15:24:16.472554Z digest=sha256:fb68924f953540488903f135dc3095a89a83a5d9eedebaad9d3fb34cf9efc0a8

Observation ea625639-b3ba-4723-b35d-d5fb3d170ae4 · inbound

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting cites this paper.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 45

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source=arxiv_source observed=2026-08-04T19:34:05.052493Z digest=sha256:9ab7188a564c80232a0b4594944b39a39c5b8046edc9e3d91d5794fba575d618

Observation f12ee5c4-3d90-4fbc-8520-6bb4c504e4a2 · inbound

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey cites this paper.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 134

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source=pdf_text observed=2026-08-04T19:19:26.034628Z digest=sha256:3621ab84ecfab751a06cc17493578908530f099bd1b9fc5dea716220c35f8506

Observation 40ec615e-c2c4-4371-8632-59133450db29 · inbound

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 73

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arxiv_id, observed 2026-05-18T03:00:48.103956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T02:59:09.920153Z digest=sha256:e574f190b24ff45d52e365e95714456b49ebdb9ac3a2e6541f1dad311343227a

Observation 123ca29a-8a7f-468a-8f54-a4444167c857 · inbound

Toward Efficient and Robust Behavior Models for Multi-Agent Driving Simulation cites this paper.

Toward Efficient and Robust Behavior Models for Multi-Agent Driving Simulation INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 45

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verified exact
arxiv_id, observed 2026-05-17T01:01:24.365948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T00:58:51.811689Z digest=sha256:86fb8d4b9257b761e7ddb9434f52c5b8c757cb1d0cf0ab6ed282ac15009e8a8e

Observation a06f5536-f78e-4596-90e2-102e7c3fc3e2 · inbound

DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery cites this paper.

DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T10:19:43.753675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:19:43.753675Z digest=sha256:8a7fea13428d9a338bb822b2d3919c1bc2ad07768a0f131901ccc32e8da12563

Observation 11492656-ab95-4038-a8aa-7c8495ef49d6 · inbound

From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps cites this paper.

From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 11

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verified exact
arxiv_id, observed 2026-05-21T16:04:14.642691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T16:03:02.705191Z digest=sha256:04ab7418945ecd3acafb1f618bb62242303517fc50220ae97bc179dc6b4b1fe5

Observation 574ae544-1e3b-435f-81ea-20c7249b00ba · inbound

ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios cites this paper.

ScenicRules: An Autonomous Driving Benchmark with Multi-Objective Specifications and Abstract Scenarios INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T22:45:34.452843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:45:34.452843Z digest=sha256:bfeafb8bc06dd49fcd46f2784d5be1050864180bfe916cae4bb1cb76a4d06708

Observation bb76058d-3d5b-47c8-9c24-468ef7956ff6 · inbound

An interactive enhanced driving dataset for autonomous driving cites this paper.

An interactive enhanced driving dataset for autonomous driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 41

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unresolved
no resolver link, observed 2026-08-02T21:19:50.913731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:19:50.913731Z digest=sha256:d4f017b0eb220194811d79b55626c47ad3fc722ac146aa058b5e6d56e37c773d

Observation 245c2e82-3616-4255-80ab-63ceba5640ef · inbound

The Swarm Intelligence Freeway-Urban Trajectories (SWIFTraj) Dataset -- Part II: A Graph-Based Approach for Trajectory Connection cites this paper.

The Swarm Intelligence Freeway-Urban Trajectories (SWIFTraj) Dataset -- Part II: A Graph-Based Approach for Trajectory Connection INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T19:30:16.703460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T19:27:57.512649Z digest=sha256:98110b082e5c6b0c796aa299efe120c951f037130851349ceb4b34177cd8459f

Observation e149129d-566e-4f19-9eea-1d2a84c96d9d · inbound

Eye Gaze-Informed and Context-Aware Pedestrian Trajectory Prediction in Shared Spaces with Automated Shuttles: A Virtual Reality Study cites this paper.

Eye Gaze-Informed and Context-Aware Pedestrian Trajectory Prediction in Shared Spaces with Automated Shuttles: A Virtual Reality Study INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:30:24.543046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T06:27:55.617689Z digest=sha256:6cad2d91cda5714a92b4c557a841570c37ab985aadded629feaaa41e75917b0c

Observation 537653af-5b50-4640-9f1b-8eac636461fa · inbound

Ozone: A Unified Platform for Transportation Research cites this paper.

Ozone: A Unified Platform for Transportation Research INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:00.173239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:39:02.013342Z digest=sha256:206bc07f3786d63e1a418e2a47671a57ef4ce03838a3ac9bce0d4e2eea4360fb

Observation e0c8a6cd-168c-4694-a5fd-536737def193 · inbound

Ozone: A Unified Platform for Transportation Research cites this paper.

Ozone: A Unified Platform for Transportation Research INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:43:57.081558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T01:40:07.350016Z digest=sha256:d9ba01220a15af532c402caf430444929c5dbda8de133376e07674493bc2a162

Observation 7aca1e4b-2816-4be4-a28f-b706c6160008 · inbound

Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction cites this paper.

Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:06:03.379276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:38:56.065518Z digest=sha256:c0efaed81ff58230b582f4a2b34ed46244e965e3323e40adfb58f9fc3962ec90

Observation de1277f6-fc84-4c99-ba46-e3236065b61e · inbound

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 225

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.479993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:00:59.662003Z digest=sha256:9d985dd9cc41ac889748eb9e1887b0ab5f951dbc7be8748a777e45ee7d6459e1

Observation 6f75d99f-dc20-4895-99ac-8a064cb6c22c · inbound

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions cites this paper.

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:05:32.748914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:04:56.077419Z digest=sha256:1b3684aeafa41909b0d9d4d1da136c590989bac241b05566e710f4d8d11ae1b9

Observation 5341ed57-5886-45d5-9ed1-9015387c5e6a · inbound

PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment cites this paper.

PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:18:54.610001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T19:15:27.035840Z digest=sha256:fe441eed0eeae33a8e6968671cc4091f00889e1b7307728a5324a2f276769296

Observation 5e20189f-1601-41db-a0f1-a42259ea30ed · inbound

Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions cites this paper.

Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T13:38:19.078428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T13:37:33.910175Z digest=sha256:2a8bc5455ef15eff887b083c264c807e40ab731859c64301a64b6f905eaf6b51

Observation 12466d7f-a90d-4b8c-8ac8-b1e64818a5a5 · inbound

Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling cites this paper.

Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:24:57.753578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T17:17:45.979250Z digest=sha256:3e55eda7aeebd56510606de60ddd68e2480c31b4c6b76a93e114252a11a25fb1

Observation 834ad210-a5b1-4f5d-af76-a3dc5b59b586 · inbound

CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driving cites this paper.

CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:12:24.497415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T17:10:33.976202Z digest=sha256:c7599272f7e8e6cf847ae216be1b6e4a35d11d51e4ba5c115346474453c71a56

Observation ef2e3353-09c0-468a-be00-84aa305a02fa · inbound

CARVE-Q: Quantum-Proposed, Classically Certified Interactive Driving Repair cites this paper.

CARVE-Q: Quantum-Proposed, Classically Certified Interactive Driving Repair INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:56:47.648244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T06:29:48.366093Z digest=sha256:379b92292a457069b7f0748a746401043aa2f75f4421d12c92ba5a894949a530

Observation eeb8770e-a3ed-4f27-b3b7-4803345ca6f9 · inbound

Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data cites this paper.

Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:37.626869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T14:26:36.435387Z digest=sha256:81a87b093ba91b8004a8ff6e4c701773654c35d4de1232863537981c60f27cd3

Observation b065c48b-f582-424f-875d-4b9cb4d5dd84 · inbound

Unveiling Transferability in Trajectory Prediction via Latent Scene Embeddings cites this paper.

Unveiling Transferability in Trajectory Prediction via Latent Scene Embeddings INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:35:40.689143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T06:25:40.785938Z digest=sha256:b3653b9b061326f7daedf545ab17cb436edbe1571fe489fbcf62eeae185ff68c

Observation c0b56086-fd95-4a5f-b7e4-b62a3865663d · inbound

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving cites this paper.

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T20:16:29.472074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T20:11:02.051543Z digest=sha256:1602f4a54cc936bef207ef17383cf291e1a6eee1781a90de98f1496c2a8a041d

Observation 96365ce4-4dfa-4250-9659-04bd793345a6 · inbound

Shift & Drift: A Zero-Shot Benchmark for Generalizable and Robust Autonomous Driving Motion Planning cites this paper.

Shift & Drift: A Zero-Shot Benchmark for Generalizable and Robust Autonomous Driving Motion Planning INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:57:24.464203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T16:52:48.330900Z digest=sha256:ef86dbae18d836a0d932a3541644a1361fd8f2cadde3fdb162aa30e564bd4a50

Observation b50c03e0-29bd-4e71-a032-e1d5859bb768 · inbound

A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles cites this paper.

A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 220

Resolution
unresolved
no resolver link, observed 2026-07-14T16:37:01.846968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T16:37:01.846968Z digest=sha256:f638a77ceaa2c2b0f7d81ca12d160f6cdbd6aeaf7384031e8b8cdf065dcade60

Observation bd356d00-b462-4135-92d9-bc184b67e256 · inbound

Integration Matters: Rollout-Based Training for Constrained Diffusion Models cites this paper.

Integration Matters: Rollout-Based Training for Constrained Diffusion Models INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T02:18:52.489648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:18:52.489648Z digest=sha256:117ea103ad5f3756b470e4c9751c8196681628f238933de6dbfaa556fffd1689

Observation 7a6f6fea-4f15-45b8-8247-c23913ac79eb · inbound

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections cites this paper.

SinD 2.0: A Multi-City UAV Dataset with Semantic Risk Annotations for SOTIF-Oriented Safety Validation at Signalized Intersections INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T19:32:16.540105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:32:16.540105Z digest=sha256:f34b90cc408cf22505bb42e28db42673c069da7a14dc9f05ffb34c01e6fe852c

Observation 1e1a90bf-4b0e-48d9-b873-a05b28b54b90 · inbound

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning cites this paper.

A Forward-Inverse Dynamic Game Framework for Enhanced Multi-Agent Trajectory Planning INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T15:13:15.231784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:13:15.231784Z digest=sha256:b83356bd53417b504564ebac6d71a62ddf38fea288ca06bd73c2a597d6918154

Observation 083c3ac0-961c-4814-a15f-ee7336bfc751 · inbound

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving cites this paper.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:15.285316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:15.285316Z digest=sha256:debfa6b39dcaf89ba60acf70fbfb93cb6440f50e6917edb608b1bfd18f7d8630

Observation 367b4383-d1a8-4c9e-801a-e0581fb8240a · inbound

When Shared Rollouts Fail in Defensive Driving Evaluation: A NAVSIM Score Basis Audit cites this paper.

When Shared Rollouts Fail in Defensive Driving Evaluation: A NAVSIM Score Basis Audit INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T14:11:00.401755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:11:00.401755Z digest=sha256:a0f2cb30c1c7be0ff37473932d508346a5be9aa2933a671272ffc12090b17071

Observation 8fa25898-303f-434c-b7d5-05f8f95117e4 · inbound

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions cites this paper.

A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-11T00:35:46.861704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:35:46.861704Z digest=sha256:fadd1e736d4f55247d4465842fb5958f3534321407803cc2f67494fed441a581

Observation 7f142171-fea4-4af3-98fa-434001bb3d8b · inbound

RoadWeaver: Large-Scale Lane-Level HD Map Generation from Scratch for Autonomous Driving Simulation cites this paper.

RoadWeaver: Large-Scale Lane-Level HD Map Generation from Scratch for Autonomous Driving Simulation INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:39:34.955871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:39:34.955871Z digest=sha256:a2451f48c177f0bceecbeaf316a4223a786a5a852a1c50262e38a3beb479e551