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Paper Citation Record · LEDGER

GenAD: Generative End-to-End Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.11502.

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

pith.paper-citation-record.v1
2402.11502 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:18.969790Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.017847Z

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 2df07b14-1322-498a-9856-b09b13704844 · inbound

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving cites this paper.

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving GenAD: Generative End-to-End Autonomous Driving

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:31:40.603621Z

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=2026-05-22T14:30:47.787654Z digest=sha256:e1597f934e17059ae625d2c6343c8e66137bd024d213acd01ad364b5c5f955eb

Observation a08b413d-1541-4a81-a9dc-e5daa066326b · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving GenAD: Generative End-to-End Autonomous Driving

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:07:07.270859Z

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=2026-05-19T06:06:07.648947Z digest=sha256:006f3098bc6fc37b325ce9af39fcf8becb2ae47c8478d0ab8c07ec175de96937

Observation 5bd35ac7-ac91-4945-9378-ca0e88a00a9e · inbound

OmniNWM: Omniscient Driving Navigation World Models cites this paper.

OmniNWM: Omniscient Driving Navigation World Models GenAD: Generative End-to-End Autonomous Driving

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:18.969790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:18.969790Z digest=sha256:b15ba4ff82051951493e97928936af6f8a8a07902a828423a6531e03e6120fc7

Observation 40c9e54e-f7af-400e-b9c4-43febbf3f1d4 · inbound

Kerr-Schild Double Copy of the Randall-Sundrum Black String cites this paper.

Kerr-Schild Double Copy of the Randall-Sundrum Black String GenAD: Generative End-to-End Autonomous Driving

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-15T11:39:16.503017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:39:16.503017Z digest=sha256:73932920f0ae2045797334c8af7b7e299f5ec746217030d3f66880ce0828a2b5

Observation 9d5d81b0-71dc-4b21-8cb2-a15f731ea4a1 · inbound

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning cites this paper.

Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning GenAD: Generative End-to-End Autonomous Driving

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:50:54.297059Z

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=2026-05-10T18:50:48.512471Z digest=sha256:f943fab051789e1f4e3ad46dc1f066a0c20e75cc51288e310c91ca68cb0a7ee2

Observation ad0b6139-c745-4248-9f1e-c8ae9ab43fe1 · inbound

Learning Vision-Language-Action World Models for Autonomous Driving cites this paper.

Learning Vision-Language-Action World Models for Autonomous Driving GenAD: Generative End-to-End Autonomous Driving

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:31:00.934003Z

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=2026-05-10T17:08:10.442655Z digest=sha256:deb3327a92239d077570d718674e9e6d693eadc7f2a76c7e9b2d78a7038e6a75

Observation c5558b46-4f99-47e1-ac9e-68746b044f27 · inbound

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning cites this paper.

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning GenAD: Generative End-to-End Autonomous Driving

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:41:08.349649Z

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=2026-05-22T05:39:56.299842Z digest=sha256:ddfe6cc5f3eda1f57be1e1209bf551c0a4dbb512543000311bf95f2aeb5d875c

Observation ee71dcf3-483c-41f6-a024-94309a24394a · inbound

OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving cites this paper.

OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving GenAD: Generative End-to-End Autonomous Driving

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:38.019242Z

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=2026-06-26T14:24:07.496389Z digest=sha256:f077ac6ce6831a3fbcd0d7bc63775a0cfca69d66173f74858c7669752aca4eb3

Observation fc14ba6f-b5eb-4e74-a9bf-27021fa46376 · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models GenAD: Generative End-to-End Autonomous Driving

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:25:58.378956Z

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=2026-06-29T01:58:46.435886Z digest=sha256:e84903cb31d03b9adeff48c54cb1550e1a180510663559672bee255dbb58aad3