Paper Citation Record · LEDGER

Surprise Potential as a Measure of Interactivity in Driving Scenarios

As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 5 inbound Pith citation observations for arXiv:2502.05677.

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

pith.paper-citation-record.v1
2502.05677 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:26:50.426427Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:38.075796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:54:36.451355Z

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy35
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b35564e9-229f-43bd-8307-a6a250d6abb4 · outbound

This paper cites Parting with misconceptions about learning-based vehi- cle motion planning,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Parting with misconceptions about learning-based vehi- cle motion planning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.253423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78b7f94b-a090-4fdc-ab84-f28ef9cab635 · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios nuScenes: A multimodal dataset for autonomous driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.240740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a0aa065f-457c-43e0-b277-f91cea024e72 · outbound

This paper cites A survey on safety-critical driving scenario generation—a methodological perspective,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios A survey on safety-critical driving scenario generation—a methodological perspective,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.227454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02f7c417-c2b2-4ac8-853b-ec58cbcd62fe · outbound

This paper cites Diverse complexity measures for dataset curation in self-driving,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Diverse complexity measures for dataset curation in self-driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.214072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9294b319-e60a-4fd3-948d-3dedbe06eb4d · outbound

This paper cites Embedding synthetic off-policy experience for autonomous driving via zero-shot curricula,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Embedding synthetic off-policy experience for autonomous driving via zero-shot curricula,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.201245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd2845f8-0b50-4d27-8445-3102e6195153 · outbound

This paper cites Measuring Surprise in the Wild.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Measuring Surprise in the Wild

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.258352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6fada09-96a3-4525-8909-73ac8d0c6797 · outbound

This paper cites Identifying driver interac- tions via conditional behavior prediction,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Identifying driver interac- tions via conditional behavior prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.188373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47f1378b-1d09-4098-b0ed-c33ccc06587d · outbound

This paper cites Modeling road user response timing in naturalistic traffic conflicts: a surprise-based framework,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Modeling road user response timing in naturalistic traffic conflicts: a surprise-based framework,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.175095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ac2fadf-a1c7-4432-a592-1824320a8a50 · outbound

This paper cites Lewis, Counterfactuals.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Lewis, Counterfactuals

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.162375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f714bd0-5370-44c7-8778-5fee32f35c58 · outbound

This paper cites Interpretable trajectory prediction for au- tonomous vehicles via counterfactual responsibility,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Interpretable trajectory prediction for au- tonomous vehicles via counterfactual responsibility,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.149160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cea4166a-845b-4d3d-9de6-435a0ee09ccf · outbound

This paper cites Leveraging neural network gradients within trajectory optimization for proactive human-robot interactions,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Leveraging neural network gradients within trajectory optimization for proactive human-robot interactions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.136307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95dae779-d949-4d11-871e-95d043903c28 · outbound

This paper cites Safeshift: Safety-informed distribution shifts for robust trajectory prediction in autonomous driving,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Safeshift: Safety-informed distribution shifts for robust trajectory prediction in autonomous driving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.123143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 11cc5b4b-2ba2-48c3-832b-e98160196493 · outbound

This paper cites On exposing the challenging long tail in future prediction of traffic actors,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios On exposing the challenging long tail in future prediction of traffic actors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.109440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abe0ec8a-0a22-4cd9-b39e-6a4cd0b5f36b · outbound

This paper cites UniTraj: A unified framework for scalable vehicle trajectory prediction,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios UniTraj: A unified framework for scalable vehicle trajectory prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.096302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db5ccd9d-33e4-4a2f-b375-38c98b34f843 · outbound

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

Surprise Potential as a Measure of Interactivity in Driving Scenarios InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.297758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac98d155-162e-454d-934d-6a9d1b3a8607 · outbound

This paper cites Interaction- dynamics-aware perception zones for obstacle detection safety evaluation,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Interaction- dynamics-aware perception zones for obstacle detection safety evaluation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.083243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43ae09c7-6a94-4a34-92b0-bf7a92ca1b2d · outbound

This paper cites Finding critical scenarios for automated driving systems: A systematic mapping study,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Finding critical scenarios for automated driving systems: A systematic mapping study,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.069293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7928fa4-64b4-474a-9368-4cd17b771108 · outbound

This paper cites Criticality metric for the safety validation of automated driving using model predictive trajectory optimization,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Criticality metric for the safety validation of automated driving using model predictive trajectory optimization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.055433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44b3dfb9-3909-4c6c-b018-290050d4a1f3 · outbound

This paper cites TNT: Target-driven trajectory prediction,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios TNT: Target-driven trajectory prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.041811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2cc4bd37-1811-4bf3-b8ed-9983398db2a0 · outbound

This paper cites DenseTNT: End-to-end trajectory prediction from dense goal sets,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios DenseTNT: End-to-end trajectory prediction from dense goal sets,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.027970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfc6cca6-d004-4689-89f2-de14e49b2296 · outbound

This paper cites Motion transformer with global intention localization and local movement refinement,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Motion transformer with global intention localization and local movement refinement,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:51.013808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20026e13-0f6b-4adc-8615-5216ab922158 · outbound

This paper cites Query- centric trajectory prediction,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Query- centric trajectory prediction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.999504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48ef91e3-72d1-4164-b2bd-83b537967cef · outbound

This paper cites MTR++: Multi- agent motion prediction with symmetric scene modeling and guided intention querying,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios MTR++: Multi- agent motion prediction with symmetric scene modeling and guided intention querying,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.986047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f45faff-b100-4ec4-a174-b9e33cb7a4ac · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.336100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df401e3e-1b0c-4d12-babf-ff79a5285bb8 · outbound

This paper cites Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.340488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2a3243-2e26-4774-8d8d-3d2f635436e2 · outbound

This paper cites Denoising diffusion probabilistic models,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Denoising diffusion probabilistic models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.972574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2aed6bbb-5253-4992-9534-cc2f7d6a31b0 · outbound

This paper cites Guided conditional diffusion for controllable traffic simulation,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Guided conditional diffusion for controllable traffic simulation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.958884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8c43fa98-5d45-485c-86e6-4fb0adf243e4 · outbound

This paper cites Language-guided traffic simulation via scene-level diffusion,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Language-guided traffic simulation via scene-level diffusion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.945465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f12fa94-ef9a-4f7d-a1e4-7302e51eb50d · outbound

This paper cites Versatile scene-consistent traffic scenario generation as optimization with diffusion,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Versatile scene-consistent traffic scenario generation as optimization with diffusion,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.357292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c34abf-9f18-4644-be75-a0f42f9312b8 · outbound

This paper cites Motiondiffuser: Controllable multi- agent motion prediction using diffusion,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Motiondiffuser: Controllable multi- agent motion prediction using diffusion,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.932247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c276bf2-04ca-4f40-ae3c-1a6b43941ab4 · outbound

This paper cites Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.365882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fecc6066-1fb1-4fee-84f1-ae17e3cfd69d · outbound

This paper cites Trajeglish: Traffic modeling as next-token prediction,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Trajeglish: Traffic modeling as next-token prediction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.918988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 111d74f0-3280-477a-8401-d1fac4be511b · outbound

This paper cites SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction.

Surprise Potential as a Measure of Interactivity in Driving Scenarios SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.374731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18be762d-9205-4cc9-9e57-b4a27cc1141e · outbound

This paper cites Solving motion planning tasks with a scalable generative model,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Solving motion planning tasks with a scalable generative model,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.905337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5634d8ad-bf72-4798-bd4a-8034248745c9 · outbound

This paper cites Kigras: Kinematic- driven generative model for realistic agent simulation,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Kigras: Kinematic- driven generative model for realistic agent simulation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.890916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a03ad2b-10dc-441e-850a-9dfc5fb190e6 · outbound

This paper cites MotionLM: Multi-agent motion forecasting as language modeling,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios MotionLM: Multi-agent motion forecasting as language modeling,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.876487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e977ca31-1de1-4378-b87b-54cbf6aa7ff8 · outbound

This paper cites Conditional predic- tive behavior planning with inverse reinforcement learn- ing for human-like autonomous driving,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Conditional predic- tive behavior planning with inverse reinforcement learn- ing for human-like autonomous driving,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.862067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed4bb5c3-b56a-4843-b4f2-f8a413691d2b · outbound

This paper cites Villani et al.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Villani et al

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.846016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc1f6062-ffbe-4137-bdb5-48daca4cfab0 · outbound

This paper cites At- tention is all you need,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios At- tention is all you need,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.831093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ed7d34d-ee7c-4ede-9cf9-e21c8300cbbd · outbound

This paper cites A theory of visual control of braking based on information about time-to-collision,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios A theory of visual control of braking based on information about time-to-collision,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.816162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84d2da23-98b3-4588-817a-ffa824263f97 · outbound

This paper cites Predictive risk estimation for intelligent adas functions,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Predictive risk estimation for intelligent adas functions,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.801729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74eb1b1f-cad4-4c46-9ef5-eb5a0318d504 · outbound

This paper cites The proof and measurement of association between two things,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios The proof and measurement of association between two things,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:26:50.787081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c655c903-6030-4d2f-a8ff-c406ecc3c5fd · outbound

This paper cites The meaning and use of the area under a receiver operating characteristic (roc) curve.

Surprise Potential as a Measure of Interactivity in Driving Scenarios The meaning and use of the area under a receiver operating characteristic (roc) curve

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.417584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c50da4ae-9f24-4b68-9518-52118860bd91 · outbound

This paper cites Curriculum learning,.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Curriculum learning,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.422085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9022bb0a-6bd9-46a0-a5a2-ae44cd58f620 · outbound

This paper cites Pearl, Causality.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Pearl, Causality

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T18:26:50.426427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cea84ece-d754-44c2-85cc-3452798cf634 · inbound

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning cites this paper.

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning Surprise Potential as a Measure of Interactivity in Driving Scenarios

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:38.075796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b7f0e1-6a7f-4e50-99ad-a4d882fd7818 · inbound

Test Automation for Interactive Scenarios via Promptable Traffic Simulation cites this paper.

Test Automation for Interactive Scenarios via Promptable Traffic Simulation Surprise Potential as a Measure of Interactivity in Driving Scenarios

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:30.082279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bf73552-fa2e-4c3c-8081-408e59116b59 · inbound

Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation cites this paper.

Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation Surprise Potential as a Measure of Interactivity in Driving Scenarios

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:53:39.288477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac4ee8b6-bfdf-4ee2-8f09-2f12507fdac0 · inbound

Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators cites this paper.

Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators Surprise Potential as a Measure of Interactivity in Driving Scenarios

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:35.638086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8ef2a8a-8d8b-4008-a39d-61380c730a46 · inbound

Zero-Label Driving Scenario Complexity Detection via Joint Embedding Predictive Architecture cites this paper.

Zero-Label Driving Scenario Complexity Detection via Joint Embedding Predictive Architecture Surprise Potential as a Measure of Interactivity in Driving Scenarios

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:54:36.453007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.