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Paper Citation Record · LEDGER

End-to-end Autonomous Driving: Challenges and Frontiers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2306.16927.

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

pith.paper-citation-record.v1
2306.16927 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:44:01.552925Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:21:35.762946Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dd110b3f-a257-4a4f-b3cb-c555d733993a · inbound

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models cites this paper.

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models End-to-end Autonomous Driving: Challenges and Frontiers

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:22:35.449028Z

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.

source=pdf_text observed=2026-05-12T19:22:35.305220Z digest=sha256:ce450664e33cdc0f4893ecda3d7347311313ed7a10d96a611c7df18c035189ec

Observation 880def9d-037c-4e19-9faa-0b9d6980c82f · inbound

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey cites this paper.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey End-to-end Autonomous Driving: Challenges and Frontiers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T20:44:01.552925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:44:01.552925Z digest=sha256:78504e51dcb4a8a5257d63ffe02c1b300a8f58a386f6d4046a9cda333b629a9d

Observation b75f6952-43ae-4c4f-b452-8c0356f6a862 · inbound

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios cites this paper.

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios End-to-end Autonomous Driving: Challenges and Frontiers

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:21:35.765750Z

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.

source=pdf_text observed=2026-05-22T13:18:30.486507Z digest=sha256:1c94d800312634291ef3035b835cdcbdbfab0099a7ac97e2dd6f50e4d05b5b30

Observation b775f50f-4c9d-417d-99a6-e6942ba3a5f5 · inbound

Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset cites this paper.

Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset End-to-end Autonomous Driving: Challenges and Frontiers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:19.036092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:45:19.036092Z digest=sha256:f63c564abe1337fade7f61f383c1768929eb96e5ed6767578eb89e54776b455b

Observation dda29755-7e15-401e-9a48-198f680542ef · inbound

Ego-centric Learning of Communicative World Models for Autonomous Driving cites this paper.

Ego-centric Learning of Communicative World Models for Autonomous Driving End-to-end Autonomous Driving: Challenges and Frontiers

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:42.308408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:42.308408Z digest=sha256:177e933e6269faa305aaf9d8c0e9b930f9e25a382a8ddc9776a532baaca77e42

Observation decfaf44-c49b-4876-acfa-5c8992b8a58a · inbound

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving End-to-end Autonomous Driving: Challenges and Frontiers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:48.336254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.336254Z digest=sha256:5d46d0d729e9191c4ffa64d1170440381b5e6371aaf48bd3f1edfe47b559235a

Observation ffc1a420-7d9b-427e-84f2-718415700f24 · inbound

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction cites this paper.

GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction End-to-end Autonomous Driving: Challenges and Frontiers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:09.786521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:40:09.786521Z digest=sha256:2799eb79c8a3625ef1cec86348cdb63792e78acc294aa28fb1deae17c5e3e464

Observation 951c6ac8-b4c6-46b5-b310-fc92ae6402f1 · inbound

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models cites this paper.

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models End-to-end Autonomous Driving: Challenges and Frontiers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T20:19:20.494432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:19:20.494432Z digest=sha256:a6c3344b6cedc86c3602a74ae5914e1f7ca22c98ab943e09c83f166f371e9a28

Observation 1176a2ea-469b-4001-aa00-8e90ced8ddf9 · inbound

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving cites this paper.

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving End-to-end Autonomous Driving: Challenges and Frontiers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T12:54:10.234632Z

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.

source=pdf_text observed=2026-05-21T12:53:29.732960Z digest=sha256:fbe4b36520b021dd422c8096c67255e53f1e2bccf5a1b319609b734d0c659b37

Observation 23c30ac7-6476-4a2b-a29f-eb20d99893ae · inbound

InterFuserDVS: Event-Enhanced Sensor Fusion for Safe RL-Based Decision Making cites this paper.

InterFuserDVS: Event-Enhanced Sensor Fusion for Safe RL-Based Decision Making End-to-end Autonomous Driving: Challenges and Frontiers

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:09.001808Z

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.

source=pdf_text observed=2026-05-08T17:01:31.011188Z digest=sha256:dfe24d0f85a78a6ad1253e8e195087bb75382fd71f5cd56cbcad6d4b965ec032

Observation d13dc0ae-37ff-4323-a647-f62d681a9479 · inbound

Implicit Action Chunking for Smooth Continuous Control cites this paper.

Implicit Action Chunking for Smooth Continuous Control End-to-end Autonomous Driving: Challenges and Frontiers

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:08:05.005609Z

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.

source=arxiv_source observed=2026-05-20T05:07:33.685375Z digest=sha256:48b8eb621a76b73abe48cccabd97d75125b3eaf59cc29a2d4edfba3d387d80cd

Observation a6fbd18c-609f-4fdc-aaab-caa52c67145c · inbound

Outcome-Guided Distillation: A Teacher-Student Framework to Advance VLM Reasoning in Autonomous Driving cites this paper.

Outcome-Guided Distillation: A Teacher-Student Framework to Advance VLM Reasoning in Autonomous Driving End-to-end Autonomous Driving: Challenges and Frontiers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T14:38:56.159094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:38:56.159094Z digest=sha256:96d7551c85eb2477a4d5f8a8ec4d670a0d9343b0729b503db2e20ba8642bab74