Paper Citation Record · LEDGER

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories

As of 14 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.05717.

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

pith.paper-citation-record.v1
2412.05717 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:30:32.549046Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

25 of 25 outbound references displayed

verified exact3
verified fuzzy16
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7dc1bc19-381a-4a62-8b94-f44568b52858 · outbound

This paper cites A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.798805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aca44c3a-0ba0-43fe-beb8-5c7df179f32a · outbound

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

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:32.476793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb84b1e-7652-433e-aae4-f70479ababca · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories End-to-end Autonomous Driving: Challenges and Frontiers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:32.480563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0d0cb2-8754-496b-86c5-46d0c3f0924e · outbound

This paper cites Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.789210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31b6c868-817e-470e-8f1f-c9a40c3fdffe · outbound

This paper cites A Survey on Imitation Learning Techniques for End-to-end Autonomous Vehicles,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories A Survey on Imitation Learning Techniques for End-to-end Autonomous Vehicles,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.779695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15269ee1-333c-45b4-b238-cfa7a1a9ff58 · outbound

This paper cites Imitation is not enough: Robustifying imitation with reinforcement learning for challenging driving scenarios,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Imitation is not enough: Robustifying imitation with reinforcement learning for challenging driving scenarios,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.770771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07ccb6da-09a5-464c-afee-fb8cb5a603f5 · outbound

This paper cites Benchmarking Constraint Inference in Inverse Reinforcement Learning.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Benchmarking Constraint Inference in Inverse Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:32.493964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f06e6e2-659d-4323-9ae8-682116dc7852 · outbound

This paper cites How To Not Drive: Learning Driving Constraints from Demonstration,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories How To Not Drive: Learning Driving Constraints from Demonstration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.762229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2fed045-9c40-4584-a840-32bbf09dccb1 · outbound

This paper cites Learning Constraints from Demonstrations,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Learning Constraints from Demonstrations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.753017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8934019a-4f09-44f4-a1e0-63458a419565 · outbound

This paper cites Maximum Likelihood Constraint Infer- ence for Inverse Reinforcement Learning,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Maximum Likelihood Constraint Infer- ence for Inverse Reinforcement Learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.744194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a814694-bc4d-4ac8-a969-f52811e3b78f · outbound

This paper cites Inverse Constrained Reinforcement Learning,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Inverse Constrained Reinforcement Learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.734563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68c4d6e7-c11b-431b-9aee-3de6cf9949b7 · outbound

This paper cites Learning Soft Constraints From Constrained Expert Demonstrations.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Learning Soft Constraints From Constrained Expert Demonstrations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:32.509110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f53263ca-641b-40fa-9568-0b44e1ee7265 · outbound

This paper cites Learning Shared Safety Constraints from Multi-task Demonstrations.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Learning Shared Safety Constraints from Multi-task Demonstrations

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:30:32.615006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6bf2a24-db70-4b62-84f8-b9c355608a3e · outbound

This paper cites Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Large Language Models for Robotics: Opportunities, Challenges, and Perspectives

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:32.515394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b3f3ec-9e75-4752-a607-6990fe2cb4b1 · outbound

This paper cites Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:30:32.592738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d829bb1d-8072-449e-ab10-ef6761df8851 · outbound

This paper cites Safe autonomous driving with latent dynamics and state-wise constraints,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Safe autonomous driving with latent dynamics and state-wise constraints,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.725489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 119b1773-971f-4379-956d-2bc9357feb72 · outbound

This paper cites Maximum Entropy Inverse Reinforcement Learning,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Maximum Entropy Inverse Reinforcement Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.716336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1461ad2-43b6-43b3-9a87-a8705c7416ea · outbound

This paper cites Safetynet: Safe planning for real-world self-driving vehicles using machine- learned policies,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Safetynet: Safe planning for real-world self-driving vehicles using machine- learned policies,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.707388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b075ff8d-a708-4139-a92d-1bc8788b23f8 · outbound

This paper cites Learning Safety Constraints from Demonstrations with Unknown Rewards.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Learning Safety Constraints from Demonstrations with Unknown Rewards

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:30:32.579103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 946a6a95-4c0c-455f-af21-245431c8d0fa · outbound

This paper cites Learning constraints on autonomous behavior from proactive feedback,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Learning constraints on autonomous behavior from proactive feedback,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.698279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a1325b1-baf0-4ff0-b863-85d83ad24422 · outbound

This paper cites An Environment for Autonomous Driving Decision- Making,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories An Environment for Autonomous Driving Decision- Making,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:32.536540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3619bf3-c8af-4074-8393-7b2739119b68 · outbound

This paper cites The Ind Dataset: A Drone Dataset of Naturalistic Road User Tra- jectories at German Intersections,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories The Ind Dataset: A Drone Dataset of Naturalistic Road User Tra- jectories at German Intersections,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.683765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71f0b2d7-2f95-43be-8154-435c5c8f5ffc · outbound

This paper cites Tnt: Target-Driven Trajectory Prediction,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Tnt: Target-Driven Trajectory Prediction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.675004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b65bdfb6-a5e1-4f4c-a317-0c42f196ecd1 · outbound

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

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Vectornet: Encoding HD Maps and Agent Dynamics from Vectorized Representation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.665436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4601a059-e05c-4597-bd27-ffdb184e3168 · outbound

This paper cites Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing,.

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:30:32.655796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.