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Paper Citation Record · LEDGER

Challenger: Affordable Adversarial Driving Video Generation

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.15880.

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

pith.paper-citation-record.v1
2505.15880 v2

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 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T10:15:53.988156Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:17:15.743783Z

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 ebc628d7-2968-4f7c-a1ed-ebc3887613ec · inbound

FocalAD: Local Motion Planning for End-to-End Autonomous Driving cites this paper.

FocalAD: Local Motion Planning for End-to-End Autonomous Driving Challenger: Affordable Adversarial Driving Video Generation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:17:15.747069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T10:15:53.988156Z digest=sha256:e343c2de8d36317241af51a9d92db72847b5ba675390d3b5705096a2aacc20e3

Observation 58ca1cd9-7599-4799-b0d3-126fc4d96422 · 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 Challenger: Affordable Adversarial Driving Video Generation

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T06:07:07.294526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T06:06:07.648947Z digest=sha256:b61d30c0e86f030b7aca05e7c2eba4a375b9756bda842ecc8a07cc2885cc64dd

Observation e60cda6f-7ab0-48f4-a9c8-87860b1c4c97 · inbound

SimScale: Learning to Drive via Real-World Simulation at Scale cites this paper.

SimScale: Learning to Drive via Real-World Simulation at Scale Challenger: Affordable Adversarial Driving Video Generation

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:34:01.889415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T04:33:03.629533Z digest=sha256:c51b0d8b203ce57550f9ced43f6347928f81b6ff83ad3cbf56453b8a43ac61de

Observation e3aec7c2-7b97-41e4-9ffa-fbefd8278035 · inbound

Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving cites this paper.

Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving Challenger: Affordable Adversarial Driving Video Generation

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T22:03:36.223757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T22:01:37.044539Z digest=sha256:3f9a7b325fb724f6c2bd5cc47e28d2f7d96dc6f31a139f54a668817cbcb05527

Observation a0512587-7a0c-476e-9646-4bebdc6560d0 · inbound

Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving cites this paper.

Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving Challenger: Affordable Adversarial Driving Video Generation

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:11:08.004678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T20:29:23.561292Z digest=sha256:4c3302865ce026ded0fbcd0ddd8c86e327eea4ddf63be608388ebfd6f833463e