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Paper Citation Record · LEDGER

Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2503.02911.

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

pith.paper-citation-record.v1
2503.02911 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:41.760248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:55.944473Z

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 f512ba36-52be-4142-aa5d-ec361ad4352e · inbound

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning cites this paper.

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:41.760248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:41.760248Z digest=sha256:a32472c250298f3ff4dbc91c879eedcab0ba6229e7902d62255d3cce7077c5d3

Observation 62de8306-eea6-4d1e-a457-1536f83e721f · inbound

From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving cites this paper.

From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:23.518123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:23.518123Z digest=sha256:83a46a489ded4931e33d612ca7c842b2f99934ba69aaa91b373da4043b97b85d

Observation 8f0d2601-2b34-4793-a50e-cff8621c2339 · inbound

AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models cites this paper.

AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T05:08:41.316844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:08:41.316844Z digest=sha256:2b6e500e6e4a282f9b057ecff2f3f435297f5ef2f9c0cf55873a056193493e16

Observation 2c712e1f-800e-4cf3-ae3a-4599a54eebab · inbound

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles cites this paper.

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T18:34:40.774782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:34:40.774782Z digest=sha256:47c0d16e07c573887445e3459e40e807ebceba698bdf16598f7afa5ad755b83b

Observation cca1fb50-2fbd-4576-a964-318a5ee10a93 · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T15:24:11.442270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:24:11.442270Z digest=sha256:a890536590c746fdddc3fb39a71ce528ea00208fac40ea357a04a5a8e79ea2b3

Observation 73494cb2-e9c0-41c9-a582-ddf2e3c7c275 · inbound

A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods cites this paper.

A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T15:54:39.667762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:54:39.667762Z digest=sha256:7b731529f6ce5ef8b81a42383a10971e49da5b03391f60f1566f1757b979a916

Observation 4c1a27a9-0f30-4886-96a3-fc6682d5178f · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T08:15:14.015283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:14.015283Z digest=sha256:2df787f2ed3bac5018c7310236f23a509b3eb832859e3e2651918a11bca30c83

Observation 2e7dba45-15af-4c38-9305-1dcd9eb75a7f · inbound

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity cites this paper.

Gaussian Field Representations for Turbulent Flow: Compression, Scale Separation, and Physical Fidelity Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T09:05:08.556860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:05:08.556860Z digest=sha256:294ad54001bd514b6d073ea32150777b34a4e50cd08da0a0ae38f7e65b506729

Observation a1869901-c7ee-4f52-a06c-3d8e0d3481db · inbound

Compiling OpenSCENARIO 2.1 for Scenario-Based Testing in CARLA cites this paper.

Compiling OpenSCENARIO 2.1 for Scenario-Based Testing in CARLA Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:55.421953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:27:38.661088Z digest=sha256:ec353b9d4f723bd200dddf952653f25c777fa2a97793db9983155ba90b612390

Observation e76fc1f0-63bd-4143-8ddb-71f9b642403f · inbound

Traffic Scenario Orchestration from Language via Constraint Satisfaction cites this paper.

Traffic Scenario Orchestration from Language via Constraint Satisfaction Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:57.309985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T00:53:40.013403Z digest=sha256:c337ef9607543da179b644de2c18f41a1beb9e21ccb2c584ceb8f1815fb9a25d

Observation 1817e5d8-119c-4194-8520-51cc2ddd13b3 · inbound

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

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:21:26.630188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T05:17:42.003708Z digest=sha256:f1cad131bb37b2dd9fefd1dd6ca85566fcaa4e6a8e6d741f054314675c50f501

Observation 0ee9255c-efb2-42d1-8c9b-c030fb17a63e · inbound

PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment cites this paper.

PCASim: Promptable Closed-loop Adversarial Simulation for Urban Traffic Environment Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:18:54.640361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T19:15:27.035840Z digest=sha256:eb13535574bad51b3ada547127cac0ad94e88c09f1f5a33ce028ff47415230d5

Observation 2d1a64a1-41d1-4572-ba48-766f0c23e705 · inbound

Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving cites this paper.

Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:01:09.021914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T05:56:45.641080Z digest=sha256:c419f3e12cb8fc701a8e66f344cbba89799d00c7246ae4e994568c207a44a7e4

Observation 4b92b2cd-8a64-407d-9af0-ded006d0e5ea · inbound

Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving cites this paper.

Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:55.945989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T16:40:24.858861Z digest=sha256:949c7ec017bc634c746be23bce98bf0f616fa021ec7401790201a217729ea502