Paper Citation Record · LEDGER

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2507.20850.

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

pith.paper-citation-record.v1
2507.20850 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:16:21.471151Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T02:18:56.169218Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T22:51:23.210495Z

Reference resolution

44 of 44 outbound references displayed

verified exact3
verified fuzzy40
unresolved1
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25013f15-7514-4cb8-a890-c5cc705c6391 · outbound

This paper cites Impacts of connected and autonomous vehicles on urban transportation and environment: A comprehensive review,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Impacts of connected and autonomous vehicles on urban transportation and environment: A comprehensive review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.805699Z

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.

Observation 3369bdd9-7d76-4a24-a24a-e397e7d4a887 · outbound

This paper cites Advanced learning technologies for intelligent transportation systems: Prospects and challenges,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Advanced learning technologies for intelligent transportation systems: Prospects and challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.799819Z

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.

Observation 9decc813-2cc0-4b69-9d3f-d688c67698e0 · outbound

This paper cites Interactions and behaviors of pedestrians with autonomous vehicles: A synthesis,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Interactions and behaviors of pedestrians with autonomous vehicles: A synthesis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.794156Z

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.

Observation f6e5fe36-ad5e-47fc-88bd-9fc36f96efd5 · outbound

This paper cites Does another pedestrian matter? a virtual reality study on the interaction between multiple pedes- trians and autonomous vehicles in shared space,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Does another pedestrian matter? a virtual reality study on the interaction between multiple pedes- trians and autonomous vehicles in shared space,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.787968Z

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.

Observation ad765045-44dc-478f-8ea7-464c4063c134 · outbound

This paper cites Deconstructing pedestrian crossing decisions in interactions with continuous traffic: An anthropomorphic model,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Deconstructing pedestrian crossing decisions in interactions with continuous traffic: An anthropomorphic model,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.781959Z

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.

Observation c2184517-e420-4f9f-8216-95d9998da22d · outbound

This paper cites Integrating predictive motion uncertainties with distributionally robust risk-aware control for safe robot navigation in crowds,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Integrating predictive motion uncertainties with distributionally robust risk-aware control for safe robot navigation in crowds,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.776093Z

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.

Observation 93040a52-82fe-4118-8a95-4ace8748faa7 · outbound

This paper cites Sicnav: Safe and interactive crowd navigation using model predictive control and bilevel optimization,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Sicnav: Safe and interactive crowd navigation using model predictive control and bilevel optimization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.769860Z

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.

Observation 513b6ef5-f707-4d5f-b652-79fa9102b650 · outbound

This paper cites Security considerations in ai-robotics: A survey of current methods,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Security considerations in ai-robotics: A survey of current methods,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.763244Z

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.

Observation ec7748f0-15c0-41b3-b0eb-c044323ab817 · outbound

This paper cites What the constant velocity model can teach us about pedestrian motion prediction,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments What the constant velocity model can teach us about pedestrian motion prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.756352Z

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.

Observation cc981324-defe-4111-8d5d-18cbeaf1b13f · outbound

This paper cites Uncertainty-aware drl for autonomous vehicle crowd navigation in shared space,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Uncertainty-aware drl for autonomous vehicle crowd navigation in shared space,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.747646Z

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.

Observation 8a0adc0c-2f58-4ead-942d-d7cb615111cd · outbound

This paper cites Towards proactive naviga- tion: A pedestrian-vehicle cooperation based behavioral model,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Towards proactive naviga- tion: A pedestrian-vehicle cooperation based behavioral model,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.740353Z

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.

Observation bf3d80ae-2e8b-4391-89ad-566ac344e257 · outbound

This paper cites Game theory- based simultaneous prediction and planning for autonomous vehicle navigation in crowded environments,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Game theory- based simultaneous prediction and planning for autonomous vehicle navigation in crowded environments,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.732618Z

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.

Observation 9dca8565-e53e-4b40-bc94-494a8438bea4 · outbound

This paper cites Reciprocal n- body collision avoidance,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Reciprocal n- body collision avoidance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.725760Z

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.

Observation 550377dd-846e-4a2b-939b-df0e2dda2bb3 · outbound

This paper cites Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement 13 learning,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement 13 learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.719555Z

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.

Observation 15c5eb7c-8df9-4a52-bc0f-716685262021 · outbound

This paper cites Simulation of pedestrian interaction with autonomous vehicles via social force model,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Simulation of pedestrian interaction with autonomous vehicles via social force model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.708140Z

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.

Observation cd78ead6-1524-43c8-9130-6d506166d5da · outbound

This paper cites How to evaluate the navigation of autonomous vehicles around pedestrians?.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments How to evaluate the navigation of autonomous vehicles around pedestrians?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.702831Z

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.

Observation 0862bc5a-96f7-435d-99c5-cb195b0d18c7 · outbound

This paper cites Human- robot co-navigation using anticipatory indicators of human walking motion,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Human- robot co-navigation using anticipatory indicators of human walking motion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.696943Z

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.

Observation 8491eb33-4d3a-40ea-a163-d556c0188c93 · outbound

This paper cites Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.691536Z

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.

Observation 80f04c73-38d2-4e45-b4f0-b280d8c3d615 · outbound

This paper cites Moving in a crowd: Safe and efficient navigation among heterogeneous agents.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Moving in a crowd: Safe and efficient navigation among heterogeneous agents

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.685749Z

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.

Observation 9f1d5d4e-1eea-45c4-9d0a-dccec88b255a · outbound

This paper cites Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:16:21.524180Z

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.

Observation ae6ac823-61be-45ff-87a8-7aac63196545 · outbound

This paper cites Path-following navigation in crowds with deep reinforcement learning,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Path-following navigation in crowds with deep reinforcement learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.679730Z

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.

Observation b481ed38-120c-45a2-86df-da4b54cbb673 · outbound

This paper cites A spatiotemporal graphical attention navigation algorithm based on limited state information,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments A spatiotemporal graphical attention navigation algorithm based on limited state information,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.672588Z

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.

Observation cc593471-7b70-4da4-842c-409d54452251 · outbound

This paper cites Motion planning among dynamic, decision-making agents with deep reinforcement learning,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Motion planning among dynamic, decision-making agents with deep reinforcement learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.665885Z

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.

Observation 5b1de935-82e2-4e21-b680-11b388a6ea24 · outbound

This paper cites Group- aware robot navigation in crowds using spatio-temporal graph attention network with deep reinforcement learning,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Group- aware robot navigation in crowds using spatio-temporal graph attention network with deep reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.660347Z

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.

Observation 4d43bc49-d4f7-4da3-8aae-b7ffca863a62 · outbound

This paper cites Her-drl: Heterogeneous relational deep reinforcement learning for single-robot and multi-robot crowd navigation,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Her-drl: Heterogeneous relational deep reinforcement learning for single-robot and multi-robot crowd navigation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.654628Z

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.

Observation 8fd8a951-ea9b-41df-a490-d14453e906e6 · outbound

This paper cites Learning hierarchical graph-based policy for goal-reaching in unknown environments,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Learning hierarchical graph-based policy for goal-reaching in unknown environments,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.648677Z

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.

Observation bee15c95-7dd1-444b-a631-387a437017d8 · outbound

This paper cites Multi-robot social- aware cooperative planning in pedestrian environments using attention- based actor-critic,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Multi-robot social- aware cooperative planning in pedestrian environments using attention- based actor-critic,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.643079Z

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.

Observation 0c599f48-46b9-4005-bb49-00ba68d36f5d · outbound

This paper cites Enhanced spatial attention graph for motion planning in crowded, partially observable environments,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Enhanced spatial attention graph for motion planning in crowded, partially observable environments,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.637004Z

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.

Observation 266d76c0-cc82-49ed-9515-55d08117a8f5 · outbound

This paper cites Learning crowd behaviors in navigation with attention-based spatial-temporal graphs,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Learning crowd behaviors in navigation with attention-based spatial-temporal graphs,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.630719Z

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.

Observation cc618a6a-cc01-4781-bdcd-14e81a9e120f · outbound

This paper cites Uncertainty, neuromodulation, and atten- tion,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Uncertainty, neuromodulation, and atten- tion,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.624855Z

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.

Observation 2215a095-8058-4b5f-b3c7-0fde1e863b21 · outbound

This paper cites Cognitive uncertainty,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Cognitive uncertainty,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.618385Z

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.

Observation 697a4f67-2801-45c6-8244-3ac2f25dcc54 · outbound

This paper cites Confidence and certainty: distinct probabilistic quantities for different goals,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Confidence and certainty: distinct probabilistic quantities for different goals,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.612713Z

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.

Observation f99ba62b-117f-4b3f-95b3-715aad3c6f93 · outbound

This paper cites An overview of the free energy principle and related research,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments An overview of the free energy principle and related research,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.604586Z

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.

Observation b0ce8b81-a7e1-4331-9ba6-df8d0ab5837b · outbound

This paper cites The free-energy principle: a unified brain theory?.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments The free-energy principle: a unified brain theory?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.595060Z

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.

Observation 3f3eb7a5-7694-49e0-8f99-a927c7d2bed2 · outbound

This paper cites Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:16:21.511760Z

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.

Observation 53cd898c-eee8-4a5b-8abc-f9e7ff738845 · outbound

This paper cites Active vision for robot manipulators using the free energy principle,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Active vision for robot manipulators using the free energy principle,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.586445Z

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.

Observation 93b04f92-38d2-4ea9-83c7-99c56c3674ae · outbound

This paper cites Social force model for pedestrian dynamics,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Social force model for pedestrian dynamics,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T13:16:21.101985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb6c230-6ed4-4ddb-9156-f5acbbec0179 · outbound

This paper cites Interaction-aware decision-making for automated vehicles using social value orientation,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Interaction-aware decision-making for automated vehicles using social value orientation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.576735Z

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.

Observation 9d022b12-471f-45bc-8ca4-48caee719ab0 · outbound

This paper cites Coupling intention and actions of vehicle–pedestrian interaction: A virtual reality experiment study,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Coupling intention and actions of vehicle–pedestrian interaction: A virtual reality experiment study,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.568786Z

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.

Observation d4ed06ea-8add-4238-a0f1-06eb0745c03b · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.560042Z

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.

Observation e7cdc25d-ded2-433b-8e85-617cd8432fa3 · outbound

This paper cites Semi-supervised learning with graph learning-convolutional networks,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Semi-supervised learning with graph learning-convolutional networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.552013Z

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.

Observation dd3e3ba6-b903-4821-a527-e0da4e748d26 · outbound

This paper cites A discrete choice model for solving conflict situations between pedestrians and vehicles in shared space.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments A discrete choice model for solving conflict situations between pedestrians and vehicles in shared space

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:16:21.499363Z

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.

Observation a3b2cdd0-409e-40f9-a9b9-583dd0d8b779 · outbound

This paper cites Evaluating pedestrian tra- jectory prediction methods with respect to autonomous driving,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Evaluating pedestrian tra- jectory prediction methods with respect to autonomous driving,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.543102Z

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.

Observation ea455131-bffa-4fe8-9cc2-1cb8616c01dd · outbound

This paper cites Dynamic game-theoretical decision-making framework for vehicle-pedestrian interaction with hu- man bounded rationality,.

Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments Dynamic game-theoretical decision-making framework for vehicle-pedestrian interaction with hu- man bounded rationality,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:16:21.533997Z

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.

Pith citing papers

Observation d132d810-754b-4c29-b78c-16097087f6ed · inbound

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions cites this paper.

VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:51:23.213401Z

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.