Paper Citation Record · LEDGER

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2506.21976.

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

pith.paper-citation-record.v1
2506.21976 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:19:05.346460Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:24:43.818202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:49:46.756496Z

Reference resolution

59 of 59 outbound references displayed

verified exact0
verified fuzzy52
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c14f16fe-d675-4078-a285-593fa49a8aa2 · outbound

This paper cites A survey of statistical model checking.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model A survey of statistical model checking

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:19.636603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b7e93d23-1093-4add-9153-594016e5557b · outbound

This paper cites SimNet: Learning reactive self-driving sim- ulations from real-world observations.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model SimNet: Learning reactive self-driving sim- ulations from real-world observations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:19.358779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05a15353-2af9-4abf-910f-7db7ef793344 · outbound

This paper cites Video generation models as world simulators.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Video generation models as world simulators

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:18:58.896786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2bd8637-90d1-478f-9f35-e572b078c7a0 · outbound

This paper cites nuScenes: A multi- modal dataset for autonomous driving.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model nuScenes: A multi- modal dataset for autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:18.988305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf98bb15-89b7-4316-a36b-09b448bb1a34 · outbound

This paper cites Argo- verse: 3d tracking and forecasting with rich maps.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Argo- verse: 3d tracking and forecasting with rich maps

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:18.670825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18e7f1cf-380d-4e7c-9d58-d86c4885ada3 · outbound

This paper cites Controllable safety- critical closed-loop traffic simulation via guided diffusion,.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Controllable safety- critical closed-loop traffic simulation via guided diffusion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:18.393939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0052a8a8-b095-45a0-822b-314d1d55f23e · outbound

This paper cites Safe-sim: Safety-critical closed-loop traffic simulation with diffusion- controllable adversaries.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Safe-sim: Safety-critical closed-loop traffic simulation with diffusion- controllable adversaries

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:18.113007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 617ec90d-19d4-429c-bc42-5ddb1e0615c8 · outbound

This paper cites Sledge: Synthesizing driving environments with generative models and rule-based traffic.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Sledge: Synthesizing driving environments with generative models and rule-based traffic

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:17.814926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ab5b9d5-0372-4814-80d7-3b426419721a · outbound

This paper cites Dice: Diverse diffu- sion model with scoring for trajectory prediction, 2023.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Dice: Diverse diffu- sion model with scoring for trajectory prediction, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:17.471362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05975228-7cb6-4d31-beb7-37a3d3538fb4 · outbound

This paper cites A survey of algorithms for black-box safety validation of cyber-physical systems.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model A survey of algorithms for black-box safety validation of cyber-physical systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:17.204436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d35e84fc-b7e3-4c62-bdbf-e9c5c5bb4e4a · outbound

This paper cites CARLA: An open urban driving simulator.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model CARLA: An open urban driving simulator

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:16.864276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce2cf052-c1bd-49c3-8cd0-fcf5d6f344f9 · outbound

This paper cites Qi, Yin Zhou, Zoey Yang, Aur´elien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Qi, Yin Zhou, Zoey Yang, Aur´elien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:16.600268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39f5f49d-079b-400a-bf4f-05749ccdf261 · outbound

This paper cites Trafficgen: Learning to generate diverse and realistic traffic scenarios.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Trafficgen: Learning to generate diverse and realistic traffic scenarios

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:16.360846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f324c3bd-566d-4ecd-ba6e-1e157f993969 · outbound

This paper cites Co-Reyes, Rishabh Agarwal, Re- becca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Co-Reyes, Rishabh Agarwal, Re- becca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:16.165265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a13d2b7-1d55-4720-b137-44ed8493ab3b · outbound

This paper cites SceneDM: Scene-level multi-agent trajectory gen- eration with consistent diffusion models, 2023.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model SceneDM: Scene-level multi-agent trajectory gen- eration with consistent diffusion models, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:15.872153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f46aaea-48d3-4aa1-b4e3-baeb8f528179 · outbound

This paper cites Recurrent world models facilitate policy evolution.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Recurrent world models facilitate policy evolution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:00.704012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a240fd-442e-44b8-ab8c-bbbf5a0e2b28 · outbound

This paper cites Dream to control: Learning behaviors by la- tent imagination.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Dream to control: Learning behaviors by la- tent imagination

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:00.849219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bebb2e2-8a24-4e80-b254-9e4b75274faf · outbound

This paper cites Mastering atari with discrete world models.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Mastering atari with discrete world models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:15.602020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0a71ac9-01ad-4b75-9078-771fdf75e1fc · outbound

This paper cites A holistic framework towards vision-based traffic sig- nal control with microscopic simulation.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model A holistic framework towards vision-based traffic sig- nal control with microscopic simulation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:01.038086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b7dbd1d-0209-4f13-995b-6086389d7e30 · outbound

This paper cites sim- ple diffusion: End-to-end diffusion for high resolution im- ages.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model sim- ple diffusion: End-to-end diffusion for high resolution im- ages

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:15.216021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7021b636-492c-4d2b-bcd8-f744f1d8806c · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model GAIA-1: A Generative World Model for Autonomous Driving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:01.200946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72647c2e-f01d-4d3a-bba8-bccbd5596627 · outbound

This paper cites Versatile scene- consistent traffic scenario generation as optimization with diffusion, 2024.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Versatile scene- consistent traffic scenario generation as optimization with diffusion, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:14.887811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f998cdd-46cb-4b33-b4f8-752ef9a64723 · outbound

This paper cites Motion- diffuser: Controllable multi-agent motion prediction using diffusion.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Motion- diffuser: Controllable multi-agent motion prediction using diffusion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:14.537858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 715bc784-7fe6-440b-b6cf-c39bca81e9c2 · outbound

This paper cites Scenediffuser: Efficient and controllable driving simulation initialization and rollout.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Scenediffuser: Efficient and controllable driving simulation initialization and rollout

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:14.234344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5cf74750-8c88-41b8-bc47-dbb3c55cd0d1 · outbound

This paper cites Towards learning- based planning:the nuplan benchmark for real-world au- tonomous driving.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Towards learning- based planning:the nuplan benchmark for real-world au- tonomous driving

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:13.859488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8075a0bc-d779-4a46-b1d9-c6c2b1e32664 · outbound

This paper cites Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:13.579222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 471ff284-d22e-4040-a9d8-4480a976f63e · outbound

This paper cites A deep reinforcement learning network for traffic light cycle control.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model A deep reinforcement learning network for traffic light cycle control

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:13.263093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6aff8a19-3bbb-4836-81e7-c7db1a6ae917 · outbound

This paper cites Divergence measures based on the shannon en- tropy.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Divergence measures based on the shannon en- tropy

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:12.970488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f7a9fa1-d922-4b0d-be1c-6dd76609b0d0 · outbound

This paper cites Microscopic traffic simulation using sumo.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Microscopic traffic simulation using sumo

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:12.623338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a665f571-8bd3-4cbb-b6b9-f78d45a1f203 · outbound

This paper cites Scenecontrol: Diffusion for controllable traffic scene generation.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Scenecontrol: Diffusion for controllable traffic scene generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:12.373280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e99d232b-4bd4-4b6d-a811-5da305a81b45 · outbound

This paper cites Unigen: Unified modeling of initial agent states and trajectories for generating autonomous driving scenarios.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Unigen: Unified modeling of initial agent states and trajectories for generating autonomous driving scenarios

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:12.167917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6837dcf7-3583-47f1-889a-10300643a96f · outbound

This paper cites The waymo open sim agents challenge.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model The waymo open sim agents challenge

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:11.841904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86f65bbf-4b08-4052-9f34-2c575e9fb474 · outbound

This paper cites Scene transformer: A unified architecture for pre- dicting future trajectories of multiple agents.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Scene transformer: A unified architecture for pre- dicting future trajectories of multiple agents

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:11.550585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc8fabc5-1294-4525-b09a-e4c96b03f85d · outbound

This paper cites A diffusion-model of joint interactive nav- igation.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model A diffusion-model of joint interactive nav- igation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:11.284902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f66f7968-776c-477a-b15a-1522254be251 · outbound

This paper cites Improving agent behaviors with rl fine-tuning for autonomous driving.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Improving agent behaviors with rl fine-tuning for autonomous driving

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:11.016938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03647b05-3d12-4e77-acc2-4741568776cb · outbound

This paper cites Trajeglish: Learning the language of driving scenarios.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Trajeglish: Learning the language of driving scenarios

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:10.816757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99253c8b-3e50-4a37-ac7f-31581dace565 · outbound

This paper cites Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petro- vic, and Yuming Du.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petro- vic, and Yuming Du

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:10.593835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28a14721-4982-439a-8e94-e578b138c930 · outbound

This paper cites Scenario diffusion: Controllable driving scenario gen- eration with diffusion.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Scenario diffusion: Controllable driving scenario gen- eration with diffusion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:10.367016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 830d7e43-4df8-4ff8-aa48-a74cf2243246 · outbound

This paper cites Generating driv- ing scenes with diffusion.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Generating driv- ing scenes with diffusion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:10.078706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdc2bcd6-9854-443c-9daf-901620153730 · outbound

This paper cites Introducing general world models, 2024.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Introducing general world models, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:09.895467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d35658d-cef5-4786-b906-08d7565b6cf2 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Progressive distillation for fast sampling of diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:09.674240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90844eab-b1d5-45d4-9e6f-820e2c98d0fc · outbound

This paper cites Adafactor: Adaptive learning rates with sublinear memory cost.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Adafactor: Adaptive learning rates with sublinear memory cost

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:09.389459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 37d51e79-5fad-4f58-97dc-71c74cc4d7f6 · outbound

This paper cites Drivescenegen: Generating diverse and realistic driving sce- narios from scratch.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Drivescenegen: Generating diverse and realistic driving sce- narios from scratch

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:09.278732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dac2176a-06f7-4a23-a7fd-3923af580599 · outbound

This paper cites Trafficsim: Learning to simulate realistic multi- agent behaviors.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Trafficsim: Learning to simulate realistic multi- agent behaviors

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:09.048427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c759339-a815-4252-87fd-0a3b06efc009 · outbound

This paper cites Scenegen: Learning to generate realistic traffic scenes.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Scenegen: Learning to generate realistic traffic scenes

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:08.821854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6730d02-c106-4103-9ea3-5b4d30bdad8b · outbound

This paper cites Language conditioned traffic gen- eration.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Language conditioned traffic gen- eration

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:08.483212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74ba2002-4526-412c-a966-5f68464c42f3 · outbound

This paper cites Promptable closed-loop traffic simulation.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Promptable closed-loop traffic simulation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:08.211216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 975bc823-112e-4d0f-ad27-39960d5c0ef1 · outbound

This paper cites Srinivasan, Jonathan T.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Srinivasan, Jonathan T

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:07.893873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4319d0de-30db-409a-9cda-42d72dbb130d · outbound

This paper cites Con- gested traffic states in empirical observations and micro- scopic simulations.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Con- gested traffic states in empirical observations and micro- scopic simulations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:07.655275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b91b3ef8-5e65-4b11-8403-87b7ef3c686a · outbound

This paper cites Diffusion models are real-time game engines.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Diffusion models are real-time game engines

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:03.994986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78bcd8ff-fb81-4931-8142-acac98c62cd7 · outbound

This paper cites A Survey on Traffic Signal Control Methods.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model A Survey on Traffic Signal Control Methods

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:04.098586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e611d46a-79f0-43b1-af8f-1c4290111ec8 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and fore- casting.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Argoverse 2: Next generation datasets for self-driving perception and fore- casting

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:07.456100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 07efc28a-25dd-4592-abff-04267f4eccbb · outbound

This paper cites Smart: Scalable multi-agent real-time motion generation via next- token prediction.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Smart: Scalable multi-agent real-time motion generation via next- token prediction

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:07.210985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79019ad0-1b71-4339-a791-fa1d114e8741 · outbound

This paper cites Wcdt: World-centric diffusion trans- former for traffic scene generation, 2024.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Wcdt: World-centric diffusion trans- former for traffic scene generation, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:06.953147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a082903-0df1-406d-8f0e-251e0e0e41ce · outbound

This paper cites Unisim: A neural closed-loop sensor simulator.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Unisim: A neural closed-loop sensor simulator

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:06.773442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce26cf00-283b-4795-aa54-526d4e82024a · outbound

This paper cites Learning to drive via asymmetric self-play.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Learning to drive via asymmetric self-play

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:06.494460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0531d3fc-1aa3-4e56-b4af-636c97749f66 · outbound

This paper cites Tedi: Temporally-entangled diffusion for long-term motion synthesis.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Tedi: Temporally-entangled diffusion for long-term motion synthesis

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:06.229636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9beb69bd-2c7a-4d90-89d2-59e39c49c424 · outbound

This paper cites Language-guided traffic simulation via scene-level diffusion.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Language-guided traffic simulation via scene-level diffusion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:05.947167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1a724b1-bfba-4916-8a87-86529afbab98 · outbound

This paper cites trip end.

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model trip end

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:19:05.742087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 61709ac1-7ead-4db3-90f2-8df66ee0bf0e · inbound

Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation cites this paper.

Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:44.740644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d83bc4a-b1fc-4fa2-8829-a4d0d3c86f5b · inbound

A Generative Model for Closed-Loop Microsimulation of Signalized Intersections cites this paper.

A Generative Model for Closed-Loop Microsimulation of Signalized Intersections SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:49:46.758110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.