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Paper Citation Record · LEDGER

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.13450.

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

pith.paper-citation-record.v1
2608.13450 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:46:41.772252Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9ca0dbf-a436-453e-a885-ee3b968065ff · outbound

This paper cites an unresolved cited work.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Unresolved cited work

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-14T10:46:42.021294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.687952Z digest=sha256:5c21f1558ca372519875736f13a0b4ca02546dfc426dbf4d2217388e4e530cc6

Observation 5055be1c-f68f-4155-b5f6-958852a391a8 · outbound

This paper cites https://autowarefoundation.github.io/autoware-documentation/mai n/home/, 2026, accessed.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles https://autowarefoundation.github.io/autoware-documentation/mai n/home/, 2026, accessed

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.107670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.725423Z digest=sha256:41f66aa059c609dc2b9abe66536f97627ccdc7849f1a87c587d82a978ce206b6

Observation d3f16acc-b9aa-4887-aab9-20437fbde034 · outbound

This paper cites InProceedings of the Fourth Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), 1977, pp.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles InProceedings of the Fourth Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), 1977, pp

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.092722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.730629Z digest=sha256:2625f3f638f3e4b7c201eda7e85a955985e5bbc1b6083fe73fafe1b18ef46078

Observation a86804ea-bde4-4ed4-b628-cce6ac33de68 · outbound

This paper cites https://codeql.github.com/, 2026, accessed.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles https://codeql.github.com/, 2026, accessed

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.078231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.735479Z digest=sha256:41d6e519c143f6cab9033b1119617ae2301ce30a918730a3bccf889c07271f05

Observation a38443b7-eb8c-4b4b-8d24-c8f4a83635e0 · outbound

This paper cites LLM Agents can Autonomously Exploit One-day Vulnerabilities.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles LLM Agents can Autonomously Exploit One-day Vulnerabilities

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:41.745437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:46:41.745437Z digest=sha256:34053072526f08eaa4589f60709a9fd52349290d206f1de4e90b475beb8911e2

Observation 07afd6d5-dc4c-4478-9c84-12370958e256 · outbound

This paper cites On a Formal Model of Safe and Scalable Self-driving Cars.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles On a Formal Model of Safe and Scalable Self-driving Cars

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:41.754819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:46:41.754819Z digest=sha256:d502226792fc7a665d8e534df15f5937489aa78d58ea45544398d670d419f1e1

Observation f41ca384-dba8-4de1-834c-a7373828910f · outbound

This paper cites Tokunaga, Y.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Tokunaga, Y

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.049889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.759367Z digest=sha256:75dcc982dc65c6b8003c4ebdb48b9963c826455f22a9ffd913fa5b5f7396aaaf

Observation d14ff925-3500-4c28-8655-2b1f9b5ffe13 · outbound

This paper cites Open-Source Autonomous Driving Software Platforms: Comparison of Autoware and Apollo.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Open-Source Autonomous Driving Software Platforms: Comparison of Autoware and Apollo

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:41.763422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:46:41.763422Z digest=sha256:06c0208b19da43860633be3b650929328016ba9b0f7e6d5e06ce19f7c2cf7e63

Observation 92d3626f-533c-46f6-bee3-e409f506a32f · outbound

This paper cites Gog, I., S.Kalra, P.Schafhalter, M.A.Wright, J.E.Gonzalez, andI.Stoica,Pylot: AModularPlatformforExploring Latency–Accuracy Tradeoffs in Autonomous Vehicles.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Gog, I., S.Kalra, P.Schafhalter, M.A.Wright, J.E.Gonzalez, andI.Stoica,Pylot: AModularPlatformforExploring Latency–Accuracy Tradeoffs in Autonomous Vehicles

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.036015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.768048Z digest=sha256:3161cafa5987c2d4748bb430a20b441af7f9879933b9e6906013fa0aad1038fc

Observation 926f431a-32f9-4b03-9b21-b015f1b79630 · outbound

This paper cites ISO, Geneva, Switzerland,.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles ISO, Geneva, Switzerland,

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.190788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.697705Z digest=sha256:54801c113638b0104e6faa1895e07b597e30d3ea601a1fa0ae5acec3fd23cf59

Observation b47c7a7e-1bdc-4bfa-ace7-20cd7238774d · outbound

This paper cites Austin, V.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Austin, V

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.063813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.740035Z digest=sha256:2880635d9b92b0dcd58031d62637f19d35da6cbd9b3de586658180606c8756bc

Observation dcc3dc62-de85-4485-81be-0685426754a2 · outbound

This paper cites ISO/SAE, Geneva, Switzerland,.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles ISO/SAE, Geneva, Switzerland,

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.177658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.702554Z digest=sha256:643ca1afc43044b52bbd3222ba379d33793fbfcfce73dcf111519d0a74042c2a

Observation b7747adc-f018-45fe-90f0-cb101a93fcf5 · outbound

This paper cites Towards an open standard for assessing the severity of robot security vulnerabilities, the Robot Vulnerability Scoring System (RVSS).

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Towards an open standard for assessing the severity of robot security vulnerabilities, the Robot Vulnerability Scoring System (RVSS)

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:41.772252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:46:41.772252Z digest=sha256:4fd5953b65c46c2e8c87388db24cbf55a6176e8f2ada42d9dfe1011847260bf2

Observation 94bdc032-783c-4310-a546-d87541c867c5 · outbound

This paper cites Bruening, A.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Bruening, A

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.150226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.711768Z digest=sha256:7f3edc9d696059d0405b55e9f8a86ef1768282aa9463f28820825c91fc3219f3

Observation 3e0938a6-8402-491c-b1d8-8261d3fe8bf6 · outbound

This paper cites an unresolved cited work.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:46:42.163747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.707280Z digest=sha256:3f23daf17e8afd789965c9bbd56fabfb3f2a92c88ffcd949889e315dd10a9519

Observation 98cc5ac1-ffdc-43ca-b4e4-77e43f88e4a3 · outbound

This paper cites Waymo's Safety Methodologies and Safety Readiness Determinations.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Waymo's Safety Methodologies and Safety Readiness Determinations

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:41.750296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:46:41.750296Z digest=sha256:02244c2337664db1956e8988c38fe9b62c1daaf3d77dafe4b8f4cf21675f8179

Observation 39d6a76e-d6a3-4c2b-85d5-e407d5dd2a23 · outbound

This paper cites https://github.com/google/oss-fuzz-gen, 2024, accessed.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles https://github.com/google/oss-fuzz-gen, 2024, accessed

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:46:42.122134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.720980Z digest=sha256:6c4b5b31090ea0d272c25774a4d73ed2893c13a1b4719b2bc48e436b9c4eb7c1

Observation a63a6464-3408-4f51-8bf5-cb58622c4049 · outbound

This paper cites an unresolved cited work.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:46:42.203690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.693027Z digest=sha256:ca32a383a9e759a7d124b1fd2cb8cc6da27b90baf1039b76d1345b49d2577510

Observation bd6e2c54-509e-43b4-b9ab-1ef699d6d8f7 · outbound

This paper cites an unresolved cited work.

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles Unresolved cited work

Reference 2026

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:46:42.135600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T10:46:41.716287Z digest=sha256:8d1238e9331100dcbb0c2d07dac2f12b0b44b68cf3c9098c2221a36b92c5f218

Pith citing papers

No inbound Pith citation observations are available.