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Paper Citation Record · LEDGER

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.07321.

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

pith.paper-citation-record.v1
2409.07321 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:55:07.971153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:35:42.242553Z

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 5142bbac-0e95-4bd0-a2cf-8ea41b2eb555 · inbound

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving cites this paper.

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:35:42.247946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T16:35:24.063578Z digest=sha256:d459f37ba02df48ae5277ae9ef71762dc1d94bf9460dfe4ee290a6235bd2446a

Observation e50a104b-5689-4d74-bfd7-5c032227d206 · inbound

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving cites this paper.

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T15:55:07.971153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:55:07.971153Z digest=sha256:eec246ef11af061a54d02ba5d9561825ee9fbeb4ba80213294adb89219658da7

Observation 7b0ab1ff-9d92-4bd4-8d21-14d030af00b3 · inbound

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic cites this paper.

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:21:27.179812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T05:17:42.003708Z digest=sha256:35395cc31df6625fce8b9f763b214d1360d24623116f64054316c7751d87faad