Paper Citation Record · LEDGER

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.04271.

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

pith.paper-citation-record.v1
2606.04271 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:21:21.794049Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

15 of 15 outbound references displayed

verified exact3
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2137ee2e-001f-4c6e-a1b7-9cc01fbb3de8 · outbound

This paper cites Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e5c05a-4bf0-47e2-b6cf-5e9f84985e33 · outbound

This paper cites nuPlan: A closed-loop ml-based planning benchmark for autonomous vehicles.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets nuPlan: A closed-loop ml-based planning benchmark for autonomous vehicles

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68f301a-efff-4a90-b29a-e5ef2d759002 · outbound

This paper cites TransFuser: Imitation with transformer-based sensor fusion for autonomous driving.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets TransFuser: Imitation with transformer-based sensor fusion for autonomous driving

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b563f3-5457-47d6-981c-04032ea13ac0 · outbound

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

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets NAVSIM: Data-driven non-reactive autonomous vehicle simulation and benchmarking

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb9e217-3bf6-4f2b-8196-1cf05764bb7c · outbound

This paper cites Planning-oriented autonomous driving.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Planning-oriented autonomous driving

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c630ce0-367f-4ea6-8886-616986667dec · outbound

This paper cites trajdata: A unified interface to multiple human trajectory datasets.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets trajdata: A unified interface to multiple human trajectory datasets

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 121ad654-13d4-4b37-b854-0211a5a4620d · outbound

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

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets VAD: Vectorized scene representation for efficient autonomous driving

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 080f0b37-7341-4eab-85c3-b64c239c77d7 · outbound

This paper cites Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:29.934225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3022c9ae-9f3c-4501-b7fc-e1141d885a8d · outbound

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

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:06:29.941900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ab8a48e-00f2-4ac9-acc9-e9ffd86a499e · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Scalability in perception for autonomous driving: Waymo open dataset

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 928a0590-0fa9-4b7e-890d-e8e97f52e5aa · outbound

This paper cites PARA-Drive: Parallelized architecture for real-time autonomous driving.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets PARA-Drive: Parallelized architecture for real-time autonomous driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc0c4813-6858-4f5d-a501-7e73d32b3ffd · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Argoverse 2: Next generation datasets for self-driving perception and forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b548cf3-2f0d-4c6d-a4af-aa4df52d6f43 · outbound

This paper cites Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets Wod-e2e: Waymo open dataset for end-to-end driving in challenging long-tail scenarios.arXiv preprint arXiv:2510.26125

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:29.937997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e449c99-ba7b-448b-bbfb-bfffeae811e2 · outbound

This paper cites GenAD: Generative end-to-end autonomous driving.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets GenAD: Generative end-to-end autonomous driving

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T10:21:21.794049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7c095a-7d84-4946-b55e-7a7272f3795e · outbound

This paper cites WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving.

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:06:29.945798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.