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Paper Citation Record · LEDGER

SoK: On the Semantic AI Security in 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:2203.05314.

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

pith.paper-citation-record.v1
2203.05314 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 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:39:10.004324Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:03:56.617923Z

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 9e7711b4-7075-404b-87be-4edb5bf0db22 · inbound

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous cites this paper.

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous SoK: On the Semantic AI Security in Autonomous Driving

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T19:39:10.004324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:39:10.004324Z digest=sha256:f4e4f0b98d46b290b173f36f9e29cbf1f15194248aa0ecb809dbe874352f1dcb

Observation 2968a25b-0028-4fe4-9126-d9191e0d125b · inbound

Targeted Physical Evasion Attacks in the Near-Infrared Domain cites this paper.

Targeted Physical Evasion Attacks in the Near-Infrared Domain SoK: On the Semantic AI Security in Autonomous Driving

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T12:00:57.277447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:00:57.277447Z digest=sha256:5c417d8e42207a8665bbb8beff153d6bbff7693ba49580f67f055bceb58d8886

Observation 3f6d4235-ad6e-478a-9e41-e9b9b6489377 · inbound

Prevalence of Security and Privacy Risk-Inducing Usage of AI-based Conversational Agents cites this paper.

Prevalence of Security and Privacy Risk-Inducing Usage of AI-based Conversational Agents SoK: On the Semantic AI Security in Autonomous Driving

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T07:01:17.789015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:01:17.789015Z digest=sha256:ce899515183738faa993af6f8378a4a40a8b134e3d4c564d72c7d190c7d98e18

Observation ac706bee-8d69-487d-ba35-487c9102f43e · inbound

SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion cites this paper.

SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion SoK: On the Semantic AI Security in Autonomous Driving

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:44:48.359533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T00:43:49.359797Z digest=sha256:4e02212ae62bf3d18f5535e1d0b4b7d23c04a9ddcfcffcbe6856a44ec1765f89

Observation c38576d2-4510-43af-9d45-bfc63a94e101 · inbound

Detecting Trojaned DNNs via Spectral Regression Analysis cites this paper.

Detecting Trojaned DNNs via Spectral Regression Analysis SoK: On the Semantic AI Security in Autonomous Driving

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:03:56.619673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T04:03:36.586890Z digest=sha256:577120b5e34386a87e842e9cab9c4e54c167e8b3f75ae7230d1321f8963dbbbc