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Paper Citation Record · LEDGER

SAFLITE: Fuzzing Autonomous Systems via Large Language Models

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.598060Z digest=sha256:67c37d781a5c37074fcd7adbcc18ea3b571d4467b4e38142362759588abcab50

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

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.603267Z digest=sha256:64d5205dcaec5304207b2406cdf852b90845e8150563dd90ba7b977d31fd81d6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.607913Z digest=sha256:8bbb3f55352a738fc0b15896da802060823ee78627dac5eef94ee29cb3afc5ab

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.612240Z digest=sha256:00bc0a2cd6fb76968970ef7139a2b591b377284eba3c7146040d779a9fe7a1d8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.616858Z digest=sha256:44cd76123a1170a34788c2427be870a71c7ec88f2e6550f4830cadf9665a1f6d

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 2026-08-11T06:34:44.6726+00:00.

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.625822Z digest=sha256:9bc6cfee08e23606d0a624a62bb9725a4835b6deb464659f48edb15a23008642

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.629818Z digest=sha256:06b58b75ce5d10db4e34a3ec68ca6070aaf189d32390a39d7ebe681777f722c9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.633787Z digest=sha256:b049272cd713de87d136cd6131514eb93c7fc24e867d300eaa0358316eed97ec

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.637687Z digest=sha256:dfba3a4b7a09f2f504692f35b65ff02f7c64f65bcc892f035bf531e2a600a36f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.641840Z digest=sha256:cc62cf0c093dcd939c8f6617104502bcfd221087369c9c7a6c1bd6757e112b4a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.645776Z digest=sha256:8549b22500feb1a2a82eee6ef5a7ad6ca90c3b72aa1a35b6aaa1c01ad3786faa

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.649729Z digest=sha256:48b351322f1a174f242c4a6ffde3efea77000a6924558ae0614626bf0bcad463

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.653670Z digest=sha256:41b5d1fda27eefa6405e777d94211c6db2bcb39afcdbc104f8c4b74832bcc75e

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.

source=pdf_text observed=2026-08-11T04:36:47.657475Z digest=sha256:d1b932c6e6e3c46f9c2b58499311ee7bff28e8d2b600baf04781dc68731bc9e4

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.

source=pdf_text observed=2026-08-11T04:36:47.661880Z digest=sha256:a97bb701e0b18baedf237114c2f7f5fefb5c54d4b0d8bb398aec18471d5ef09a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.666000Z digest=sha256:f0cc285606d9b1d31680e2303bd11ef1f8d703dc1851432ac9aac0cbd59fd531

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.670009Z digest=sha256:6feec1255104420cc5aa05f6020844ba1e91d2b9b7e83b7473fb681edfe47c50

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.674326Z digest=sha256:d81ae306d2d7a3b21855300330a1117fd5eca99f607e7daa4b578de3492d1842

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.678149Z digest=sha256:181ee810720158989dbaf7c11ba6559219d0a878bb4aa18e46b69b98bb547ca5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.682196Z digest=sha256:c1d5d7379a7fe9214eb7b3b9b0935eecad17f3aa2fe0b3f7460941953fc6bc5b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.685976Z digest=sha256:047ee0db6b99771ac07b4cefc83b77ff01ddc9744ea1543b946e2d29fa8a5df1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:36:47.689864Z digest=sha256:097bf3f5587b97c4a612e109e11229e89a24e98bcebd2789e36867eeb4b4821e

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.

source=pdf_text observed=2026-08-11T04:36:47.694127Z digest=sha256:75d0982a6d653b804ad26f315036cbf6d9d1f463946b1ddbbdd4e11428debf61

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.

source=pdf_text observed=2026-08-11T04:36:47.698266Z digest=sha256:72491497fa7314334ff49d6b8a9bf1489b224953be124367c6f22f3e1610e582

Pith citing papers

No inbound Pith citation observations are available.