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Paper Citation Record · LEDGER

VAD: Vectorized Scene Representation for Efficient Autonomous Driving

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.12077.

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

pith.paper-citation-record.v1
2303.12077 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T08:17:19.719093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T08:17:19.737224Z

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 48e8fcf9-1968-4ee1-8ee0-6a55e4e06afd · inbound

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

Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-17T08:17:19.744622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-17T08:17:19.719093Z digest=sha256:3e771877512e7f5e3df0b07b261d4dccffd0f2749e491b2186f918ca2c0b5ef4

Observation d7aae560-3b1a-46a7-aa73-99178c821b7c · inbound

GPT-Driver: Learning to Drive with GPT cites this paper.

GPT-Driver: Learning to Drive with GPT VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:05:32.060443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T15:05:31.928650Z digest=sha256:82ccdc02a33fac88ce4eccbc86b466adea5b52b8ad61bc4d4ccdb2d31528ceea

Observation 2199d36f-63b7-415d-b1b9-52ef5c53745b · 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 VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:22:35.493341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T19:22:35.305220Z digest=sha256:241901b0971bb51bf301dc32727b52dccfab71366fd71590536289721f939a61

Observation 839ecdcd-722a-444b-82a1-01b055d86d5e · 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 VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:08.980194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T17:01:31.011188Z digest=sha256:6074241bddbb75656b7284fbfbd0cdaa2e663c51081e8bf9d3ae7a33e277aa69

Observation f35e35ba-2faf-4416-a10b-92c514117373 · inbound

Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation cites this paper.

Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:46:50.846337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T01:52:02.233177Z digest=sha256:5ca6d4e9f03881184af93268b93defb37f0f0afbf46eb7c3759b811e436a313f