Paper Citation Record · LEDGER

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.16336.

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

pith.paper-citation-record.v1
2506.16336 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:14.797853Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact7
verified fuzzy11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 117b6a38-8987-42aa-815d-6ed68ac816d6 · outbound

This paper cites Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:49:16.855488Z

Source-reported events for the cited work

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Observation 0ee6d5c9-79b8-4efb-9c2a-ac0ea1a8ea53 · outbound

This paper cites Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:49:16.567981Z

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Observation ab3dbb70-193c-45c9-bf85-6051c9ce7b9f · outbound

This paper cites Extended safety descriptor measurements for relative safety assessment in mixed road traffic,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Extended safety descriptor measurements for relative safety assessment in mixed road traffic,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:19.466504Z

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Observation 26bb3be2-7e4b-497b-84b4-8774b67b1c5e · outbound

This paper cites Analysis of optimal velocity model with explicit delay,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Analysis of optimal velocity model with explicit delay,

Reference 4

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Observation f4ed6449-325b-4c5a-9c88-29689429fb15 · outbound

This paper cites End to end learning for self-driving cars,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections End to end learning for self-driving cars,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:19.321928Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5f3ccb8d-1c36-4a81-a3fb-29b51c65009f · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:10.703645Z

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Observation df52118b-0f50-4af1-b9f2-511523201f97 · outbound

This paper cites Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:49:16.254374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41825fd5-c11b-4f55-b155-c0c9ee38ffed · outbound

This paper cites Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:49:16.032798Z

Source-reported events for the cited work

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Observation 24ae827a-277c-43c0-9b83-ff267a4b87f0 · outbound

This paper cites Social Attention for Autonomous Decision-Making in Dense Traffic.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Social Attention for Autonomous Decision-Making in Dense Traffic

Reference 9

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Source-reported events for the cited work

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Observation 634a9400-a604-4c21-ab8e-e6b1a4d0976c · outbound

This paper cites A multi-task reinforcement learning approach for navigating unsignalized intersections,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections A multi-task reinforcement learning approach for navigating unsignalized intersections,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:19.189396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf90fdee-691c-4a1c-9e0f-19d1e152bec2 · outbound

This paper cites Pomdp and hierarchical options mdp with continuous actions for autonomous driving at intersections,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Pomdp and hierarchical options mdp with continuous actions for autonomous driving at intersections,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:18.944152Z

Source-reported events for the cited work

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Observation 0ba67e87-a373-4f1b-b026-cfd37ff24656 · outbound

This paper cites Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:49:15.806518Z

Source-reported events for the cited work

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Observation bbac736c-efe4-496e-b0c8-7f9c88380e02 · outbound

This paper cites Action and trajectory planning for urban autonomous driving with hierarchical reinforcement learning,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Action and trajectory planning for urban autonomous driving with hierarchical reinforcement learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:11.624122Z

Source-reported events for the cited work

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Observation 6bac7e8b-6c20-4214-9cb5-17bd944f04bb · outbound

This paper cites Safe reinforcement learning on autonomous vehicles,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Safe reinforcement learning on autonomous vehicles,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:18.721818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb576bdf-531c-4c0f-b9fd-d411cf778a2b · outbound

This paper cites Learning to Navigate Intersections with Unsupervised Driver Trait Inference.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Learning to Navigate Intersections with Unsupervised Driver Trait Inference

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:49:15.505005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6bc65589-4427-468b-a705-8815a3094f37 · outbound

This paper cites Human-like decision making at unsignalized intersections using social value ori- entation,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Human-like decision making at unsignalized intersections using social value ori- entation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:18.415770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91f99a7a-e874-4936-9487-37a3581c1db0 · outbound

This paper cites Interactive autonomous navigation with internal state inference and interactivity estimation,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Interactive autonomous navigation with internal state inference and interactivity estimation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:18.127625Z

Source-reported events for the cited work

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Observation d8417676-b812-4f2e-ab62-313a174f5141 · outbound

This paper cites Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:17.849826Z

Source-reported events for the cited work

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Observation bcaaddc6-da14-4cf4-9159-1a266599e13a · outbound

This paper cites Feudal reinforcement learning,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Feudal reinforcement learning,

Reference 19

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Observation b1b5c3f8-d11b-48c9-84c0-67c1bff50f6f · outbound

This paper cites Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:12.644637Z

Source-reported events for the cited work

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Observation 1a17800a-5966-4d80-8d93-b589c280009d · outbound

This paper cites Data-Efficient Hierarchical Reinforcement Learning.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Data-Efficient Hierarchical Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:12.786912Z

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Observation 77b7febc-4a27-4da2-bba3-9c65c30fe74c · outbound

This paper cites Learning Multi-Level Hierarchies with Hindsight.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Learning Multi-Level Hierarchies with Hindsight

Reference 22

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Observation a06babb2-978f-4762-b0cd-9c6a32bb8c83 · outbound

This paper cites Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:17.642287Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6461e5fb-e054-4672-83cf-106621710998 · outbound

This paper cites Learning Lane Graph Representations for Motion Forecasting.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Learning Lane Graph Representations for Motion Forecasting

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:49:15.123765Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42429821-ae29-4de1-b089-6cf453b50753 · outbound

This paper cites TNT: Target-driveN Trajectory Prediction.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections TNT: Target-driveN Trajectory Prediction

Reference 25

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Observation c66819fc-126f-4661-a848-982f4ad85d6f · outbound

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Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Unresolved cited work

Reference 26

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Observation 45fc5354-722d-43df-b207-f9136d67e99a · outbound

This paper cites Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving

Reference 27

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Observation a999beb6-da79-46da-aaed-6ccd82a66ce4 · outbound

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

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:13.842331Z

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Observation b785a379-6c96-4f74-bb76-b26ffe255d2d · outbound

This paper cites VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Reference 29

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Observation e6714b33-faaf-4814-917b-6be7996d76dd · outbound

This paper cites Attention Is All You Need.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Attention Is All You Need

Reference 30

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This paper cites Separating axis theorem for oriented bounding boxes,.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Separating axis theorem for oriented bounding boxes,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:17.396641Z

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Observation 1a012cb7-39e4-4159-b9e1-ff95033a6cce · outbound

This paper cites Proximal Policy Optimization Algorithms.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Proximal Policy Optimization Algorithms

Reference 32

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Source-reported events for the cited work

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Observation 21ce2981-ed5c-403d-a2ca-899d11809ae8 · outbound

This paper cites SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:14.539948Z

Source-reported events for the cited work

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Observation 14840db5-cc5f-4874-bc3a-3300ae42800d · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Playing Atari with Deep Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:14.675888Z

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Observation 7b6c6c6b-ad19-4b2e-8a59-d6bf083e2595 · outbound

This paper cites Soft Actor-Critic for Discrete Action Settings.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Soft Actor-Critic for Discrete Action Settings

Reference 35

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Observation 8a9c4364-e1e3-4d73-9c04-347d07237822 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 125587700.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Available: https://api.semanticscholar.org/CorpusID: 125587700

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:49:17.124427Z

Source-reported events for the cited work

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Observation 4b2a6ee0-ded9-4b99-b15c-865d88d30efe · outbound

This paper cites End to End Learning for Self-Driving Cars.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections End to End Learning for Self-Driving Cars

Reference 2016

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Source-reported events for the cited work

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Observation 09da6045-488f-4dcb-ab9f-b449363a2107 · outbound

This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 2019

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Source-reported events for the cited work

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Observation e0ee5f6a-6b20-4728-b96b-b6eb5f78f3c2 · outbound

This paper cites Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:11.735202Z

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Pith citing papers

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