Paper Citation Record · LEDGER

SAFLITE: Fuzzing Autonomous Systems via Large Language Models

As of 14 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.18727.

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

pith.paper-citation-record.v1
2412.18727 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:36:47.698266Z

measured 25 of 25 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

25 of 25 outbound references displayed

verified exact2
verified fuzzy19
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc8c30fd-90f5-45be-92b0-d7998eef4dd4 · outbound

This paper cites Security modeling of au- tonomous systems: A survey,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Security modeling of au- tonomous systems: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:48.052665Z

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.

Observation 85f77bf3-ca9e-47de-b9d3-9a0f6c12e1e0 · outbound

This paper cites Survey on vanet security challenges and possible cryptographic solutions,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Survey on vanet security challenges and possible cryptographic solutions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:48.039750Z

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.

Observation 17de61d2-247c-4bbe-a885-6653b9205723 · outbound

This paper cites Uber’s self-driving cars were struggling before arizona crash.,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Uber’s self-driving cars were struggling before arizona crash.,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:48.026766Z

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.

Observation 0b5fbe19-0a5d-4bdb-91a1-4b2dc12738f7 · outbound

This paper cites Multi-modal sensor registra- tion for vehicle perception via deep neural networks,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Multi-modal sensor registra- tion for vehicle perception via deep neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:48.014151Z

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.

Observation 503a77ed-6b60-4eb3-bf7a-f233cbaa7e75 · outbound

This paper cites Multi-modal detection and mapping of static and dynamic obstacles in agriculture for process evaluation,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Multi-modal detection and mapping of static and dynamic obstacles in agriculture for process evaluation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:48.001860Z

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.

Observation e5b78a90-7a57-45f1-ba6d-e5f7e1fc4ae9 · outbound

This paper cites Program-adaptive mutational fuzzing,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Program-adaptive mutational fuzzing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.989248Z

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.

Observation 00252e0b-de0f-4b48-a92e-25b3c87f410a · outbound

This paper cites Pgfuzz: Policy-guided fuzzing for robotic vehicles.,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Pgfuzz: Policy-guided fuzzing for robotic vehicles.,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.977084Z

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.

Observation 9b83b701-57b4-4dd8-a541-49809bd2c5d8 · outbound

This paper cites SAFLITE [Online].

SAFLITE: Fuzzing Autonomous Systems via Large Language Models SAFLITE [Online]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.964723Z

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.

Observation ffd8e8ad-44c5-43cd-ac30-11ba1d1594b4 · outbound

This paper cites DeepHyperion-UA V at the SBFT Tool Competition 2024-CPS-UA V Test Case Generation Track,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models DeepHyperion-UA V at the SBFT Tool Competition 2024-CPS-UA V Test Case Generation Track,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.951998Z

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.

Observation 3c1b7462-7511-47b7-bea7-65cc9b075710 · outbound

This paper cites CAMBA CPS-UA V at the SBFT Tool Competition 2024: CAMBA: Cost-Aware Mutation-Based Test Case Generation for Unmanned Aerial Vehicles,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models CAMBA CPS-UA V at the SBFT Tool Competition 2024: CAMBA: Cost-Aware Mutation-Based Test Case Generation for Unmanned Aerial Vehicles,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.939018Z

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.

Observation 8251a34d-ee4b-485b-ab5b-1c89eb626b8c · outbound

This paper cites TUMB at the SBFT 2024 Tool Competition-CPS-UA V Test Case Generation Track,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models TUMB at the SBFT 2024 Tool Competition-CPS-UA V Test Case Generation Track,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.925590Z

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.

Observation c864a35b-aaab-40b0-9039-2327d8f797b7 · outbound

This paper cites SBFT tool competition 2024: CPS-UA V test case generation track,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models SBFT tool competition 2024: CPS-UA V test case generation track,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.912656Z

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.

Observation 197e5438-9196-4b91-8bb7-577598b987bc · outbound

This paper cites PX4 autopilot [Online].

SAFLITE: Fuzzing Autonomous Systems via Large Language Models PX4 autopilot [Online]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.899967Z

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.

Observation be03fb43-5351-4e40-b9e4-ec5df2decfdd · outbound

This paper cites Training language models to follow instructions with human feedback,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Training language models to follow instructions with human feedback,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.886526Z

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.

Observation d5ddf1ac-256c-46aa-9843-09bb73b51c50 · outbound

This paper cites Mistral 7B.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Mistral 7B

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:47.657475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531c3f63-1e79-4264-917f-6840d6d6199a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:47.661880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215bd1e9-d6f4-4584-a75e-bd5188ed4845 · outbound

This paper cites ArduPilot [Online].

SAFLITE: Fuzzing Autonomous Systems via Large Language Models ArduPilot [Online]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.873009Z

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.

Observation a5042044-6f7f-41ae-875b-5cbc03c272f3 · outbound

This paper cites Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:36:47.782409Z

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.

Observation a7d1a2de-f2f4-4c18-9fa1-c7c7b1ff7e46 · outbound

This paper cites Adaptive test gener- ation for unmanned aerial vehicles using WOGAN-UA V,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Adaptive test gener- ation for unmanned aerial vehicles using WOGAN-UA V,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.859775Z

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.

Observation 0e41b742-834b-4b19-a919-10081b35be51 · outbound

This paper cites Wasserstein generative adver- sarial networks,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Wasserstein generative adver- sarial networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.846548Z

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.

Observation 79a39827-ed08-4500-bbd8-d39727e1e35e · outbound

This paper cites Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.833756Z

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.

Observation c093f8f2-762d-420b-bd2e-0ee54f341a2a · outbound

This paper cites On the difficulty of training recurrent neural networks,.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models On the difficulty of training recurrent neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:47.820584Z

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.

Observation 0f280c79-6733-4c02-a9d8-e935fa1990ce · outbound

This paper cites Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:36:47.764085Z

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.

Observation a424d641-49d7-4ab6-9f7d-d170d9db2a9d · outbound

This paper cites Language Prompt for Autonomous Driving.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models Language Prompt for Autonomous Driving

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:47.694127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 680b26c0-2b2d-4d1e-bd0e-bebc014f8516 · outbound

This paper cites HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving.

SAFLITE: Fuzzing Autonomous Systems via Large Language Models HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:47.698266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.