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Paper Citation Record · LEDGER

Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

As of 20 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 2026-08-19T06:32:44.657259+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=sha256:972e22dc0085ac025458e1a5d4426150a3ad13c3d6c96478f28809e57bee3b44

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=sha256:5bd4da0e63fcaca421032a88ec13ac777e6744bea74b5a66780e51866a4c082a

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=sha256:1ac4edd0861bae3425b27ec367c0c29fd7180a98e3ee66a59e7ae17c3d24f6a4

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:f7f6a6d5a0c791b3f1b630adcabdfe907434ed09f8889d6c48f0c511803c4b46

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:ddbf0175d9b70bd4d49927a572e76186adef133085ae097c17e58c57a2d60f29

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:cbbc0e5039d30b9316933709844f80664eee17ff9aa2ab8b6b9b9ee04de80605

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=sha256:08606d988d130048525a53de3ac27a848f2a2a589a7b9a73f40d42c1aa32e487

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:c153a9543488f0dae6fe07ca97427f04181f7a62ca14f13a19fd3f58ade9a373

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T18:27:38.661088Z digest=sha256:beb7524221da63f87d6358ad587dbc301a93635bf0b8986c5fa32b07b06df439

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T00:53:40.013403Z digest=sha256:b67a61603aed9837dfb514942d9e4dee8d1e0e748f811c84ca565cf89fcfc00d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T05:17:42.003708Z digest=sha256:067ebae38757b49642b25481f4d9487d30d6d38ceb9a81d69f034a72cfa50089

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T19:15:27.035840Z digest=sha256:ecdd4864974c8b228495511966b7140884c81f097a04447a71fe47d986bfbb31

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T05:56:45.641080Z digest=sha256:121b3154066f215de1720f570b7a55da8e5f484ac1986d448137c10e63837103

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T16:40:24.858861Z digest=sha256:23f9ad6941d894c22450de7f4652a8d8555ca4f72013089672f0f56ee41ced7e