Paper Citation Record · LEDGER

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2605.19631.

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

pith.paper-citation-record.v1
2605.19631 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T04:53:31.033435Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

36 of 36 outbound references displayed

verified exact11
verified fuzzy24
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7575df0-a197-4e53-a328-30addf0f1d68 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models End-to-end autonomous driving: Challenges and frontiers

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.589923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 449623bc-2b4b-44d9-b75c-065499273f5a · outbound

This paper cites Carplanner: Consistent auto-regressive trajectory planning for large-scale reinforcement learning in autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Carplanner: Consistent auto-regressive trajectory planning for large-scale reinforcement learning in autonomous driving

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.654937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86df0b83-57b8-476f-9f27-7b3050963944 · outbound

This paper cites End-to-end driving via conditional imitation learning.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models End-to-end driving via conditional imitation learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.649184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27700407-2092-4ec8-8586-b1d49138e16c · outbound

This paper cites Vr-drive: Viewpoint-robust end-to-end driving with feed-forward 3d gaussian splatting.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Vr-drive: Viewpoint-robust end-to-end driving with feed-forward 3d gaussian splatting

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.352824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 210ea738-c8c0-4564-9c9a-f3a4e918d9b2 · outbound

This paper cites Driveworld: 4d pre-trained scene understanding via world models for autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Driveworld: 4d pre-trained scene understanding via world models for autonomous driving

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.655924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d59bcf67-eb32-4059-ac0a-3e2a99fece25 · outbound

This paper cites Enhancing End-to-End Autonomous Driving with Latent World Model.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Enhancing End-to-End Autonomous Driving with Latent World Model

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T04:58:05.358843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 99122c6e-8678-4fe1-8ea5-a9da73c283c7 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models nuscenes: A multimodal dataset for autonomous driving

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.640761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 02ba321a-020d-4fb6-becd-03edaa772b81 · outbound

This paper cites Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.631280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f8bde4ac-eb47-4b95-a5c6-d9a9a8eda7c9 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-20T04:58:05.333188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9cfee0dc-7313-46b4-ba2e-3a7beb66bdb5 · outbound

This paper cites 2025 waymo open dataset challenge: Vision- based end-to-end driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models 2025 waymo open dataset challenge: Vision- based end-to-end driving

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.645122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d1ba95be-3b92-431c-82eb-1bdc84d6dad9 · outbound

This paper cites Planning-oriented autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Planning-oriented autonomous driving

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.634294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86943de4-1521-494e-b0e2-d26891daf174 · outbound

This paper cites Hidden biases of end-to-end driving models.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Hidden biases of end-to-end driving models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.652589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5fedafae-0d56-4616-a4cc-6c722e505d00 · outbound

This paper cites St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.643270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4e21c40d-d246-41e0-a111-e46fc1ba2582 · outbound

This paper cites Para- drive: Parallelized architecture for real-time autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Para- drive: Parallelized architecture for real-time autonomous driving

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.651260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b7f4c6a-c27a-471f-b18e-78b328d8cbce · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Vad: Vectorized scene representation for efficient autonomous driving

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.626558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f8464b08-5576-4fe7-91c6-11e26ee0d3e2 · outbound

This paper cites Vadv2: End-to-end autonomous driving via probabilistic planning.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Vadv2: End-to-end autonomous driving via probabilistic planning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.638284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb12a3b3-edb1-4212-b1f5-8d1ba74e5a4e · outbound

This paper cites World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.378019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86eb342f-5ee3-4144-a687-1625099fb2ce · outbound

This paper cites Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-20T04:58:05.371444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e20c559-f6fc-41b1-8659-4b3afaea8001 · outbound

This paper cites Is ego status all you need for open-loop end-to-end autonomous driving?.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Is ego status all you need for open-loop end-to-end autonomous driving?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.610943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74e7840b-1344-4aa3-96ae-ae0b74687030 · outbound

This paper cites Multi-modal fusion transformer for end-to-end autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Multi-modal fusion transformer for end-to-end autonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.614761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4a63f50-2b23-4786-9ccf-5fd362a3cee5 · outbound

This paper cites Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.618979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 655925b6-3e64-4e39-b7bb-a1e383f220a3 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.623023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 58f388c6-51ae-489d-a5f2-d87ac3df2017 · outbound

This paper cites Scene as occupancy.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Scene as occupancy

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.679331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 171a3137-9ec1-445b-ae81-e52b9eeff055 · outbound

This paper cites End-to-End Driving with Online Trajectory Evaluation via BEV World Model.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T04:58:05.346228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d841bee-1433-4736-9682-8145db1cfe41 · outbound

This paper cites Navigation-guided sparse scene representation for end-to-end autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Navigation-guided sparse scene representation for end-to-end autonomous driving

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.663369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 02c21a5a-5522-45cb-8bb7-125e8b36f117 · outbound

This paper cites Gem: A generalizable ego-vision multimodal world model for fine- grained ego-motion, object dynamics, and scene composition control.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Gem: A generalizable ego-vision multimodal world model for fine- grained ego-motion, object dynamics, and scene composition control

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.667437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f94e9913-7b1e-4765-9f8b-0677ae198e65 · outbound

This paper cites Neural volumetric world models for autonomous driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Neural volumetric world models for autonomous driving

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.670800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 066eb4ef-1a14-4f9d-8298-6c5d3c495563 · outbound

This paper cites DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.326429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8f965589-a845-4cf4-a188-ad8bf4827c96 · outbound

This paper cites Attention is all you need.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Attention is all you need

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.674133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 019860e9-cf8d-4bd9-b397-017ae362f778 · outbound

This paper cites Sparsedrive: End-to-end autonomous driving via sparse scene representation.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Sparsedrive: End-to-end autonomous driving via sparse scene representation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.683214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef713ac5-36d0-4862-b66c-6e33550128a5 · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:58:05.307235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec9864a5-a7d0-42f6-a7d1-f9cde91d33c7 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-20T04:58:05.364913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cbb75086-8a0f-485f-8c42-3b87a46321ff · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Swin transformer: Hierarchical vision transformer using shifted windows

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T05:03:23.658827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b259db0-981b-4f35-b2a9-5656d2c91595 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-20T04:58:05.313527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 450ec67b-3735-40ea-94bd-28855d3f63b2 · outbound

This paper cites Decoupled Weight Decay Regularization.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models Decoupled Weight Decay Regularization

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-20T04:58:05.339525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d472dd5e-05af-4c64-9073-9bd7fe63334b · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-20T04:58:05.319937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.