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Paper Citation Record · LEDGER

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout

As of 13 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2412.12129.

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

pith.paper-citation-record.v1
2412.12129 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:28:52.251889Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy44
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40b50be0-24a3-455c-9e6d-4a4376cce21d · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout SimNet: Learning reactive self-driving simulations from real-world observations

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:53.014937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fcc899bf-6f85-4cc6-a9d7-fc1e54f8f21e · outbound

This paper cites Video generation models as world simulators.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Video generation models as world simulators

Reference 2

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raw_fallback, observed 2026-08-11T21:28:53.001987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.016381Z digest=sha256:c1ab7b4b903bf9c47113a34ca8dbdc2435a1c3425728cde7b628d7c0c24feca4

Observation b25a8558-2385-40ba-b8df-d1f79fe4571f · outbound

This paper cites Con- trollable safety-critical closed-loop traffic simulation via guided diffusion, 2023.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Con- trollable safety-critical closed-loop traffic simulation via guided diffusion, 2023

Reference 3

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raw_fallback, observed 2026-08-11T21:28:52.987675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.020960Z digest=sha256:85df1a013c4ae4952ac75d59e147d5571ac7be1568fc20ebcbc2131f55ab920d

Observation e9a10388-179f-48d2-b536-d17e95c37dfe · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Diffusion policy: Visuomotor policy learning via action diffusion

Reference 4

Resolution
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no resolver link, observed 2026-08-11T21:28:52.027326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.027326Z digest=sha256:0dd84c103a45274cc3d4ebb2e1964c24e12f9856b2d0bb454fd225c75c72aa7e

Observation 6f20e68a-ca33-4a10-9409-a442a62f4e21 · outbound

This paper cites Sledge: Synthesizing simulation environments for driving agents with generative models, 2024.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Sledge: Synthesizing simulation environments for driving agents with generative models, 2024

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.966387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.032444Z digest=sha256:eab8cb77ad882969f27e8c4c6915c30d036b5f6f07f8f712a19ce2ecc334135c

Observation 5454cbff-42c3-4940-b754-129c6495b5e4 · outbound

This paper cites Dice: Diverse diffusion model with scoring for trajectory prediction, 2023.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Dice: Diverse diffusion model with scoring for trajectory prediction, 2023

Reference 6

Resolution
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raw_fallback, observed 2026-08-11T21:28:52.952826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.039017Z digest=sha256:11255b8ef0f0784e8109d09a19ee7ea4ac6a3171e173812d40206e58a06e5c03

Observation c0470447-b1cf-4dbe-bdd7-ba4c2f0886f7 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.937194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.044210Z digest=sha256:9bcaa5d3164235a9eea690b7ca729c268193e711198ce74b77bc47c3a8aadd92

Observation bf57dd19-dc40-4900-8dca-bb32e80977b0 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Trafficgen: Learning to generate diverse and realistic traffic scenarios

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.925334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.048412Z digest=sha256:9b36783b23864196c06d1c2e06c3cc4c0573c88139903b6b92769d7d0ec488c9

Observation 1a197431-ce89-4f58-b363-e8006719e9e4 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout SceneDM: Scene-level multi-agent trajectory generation with consistent diffusion models, 2023

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.913996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.052585Z digest=sha256:843929b84536586b9a67af76199c399a17bc52c6854ec781a0397ca479ee5ec0

Observation dc0ef35f-934e-4835-9e81-e683442a8613 · outbound

This paper cites Photorealistic video generation with diffusion models, 2023.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Photorealistic video generation with diffusion models, 2023

Reference 10

Resolution
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no resolver link, observed 2026-08-11T21:28:52.056795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.056795Z digest=sha256:f7ccaacd828c903636c2f1f3fa7ce5e6170a621e9f8445418bdb8dbf5a918ba8

Observation fe7aa783-65ea-4422-a80b-1aeb67535906 · outbound

This paper cites Kingma, Ben Poole, Mohammad Norouzi, David J.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Kingma, Ben Poole, Mohammad Norouzi, David J

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.061086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.061086Z digest=sha256:7366d46982341f20a2d97394992fa259d81c3f4197be82e6e44a8b98211a5f89

Observation 05a92d99-1f62-4b0d-a317-d604cbc5babb · outbound

This paper cites Video diffusion models.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Video diffusion models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.882056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.065833Z digest=sha256:47d424e05c6ae78bc23f1e0836eb75d8d3c86ca870ea413582c0a511cd6136b7

Observation b87f8c45-4c3a-4a00-91bc-6d5aefc5a9be · outbound

This paper cites simple diffusion: End-to-end diffusion for high resolution images.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout simple diffusion: End-to-end diffusion for high resolution images

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.864922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.069878Z digest=sha256:b626cbca411e903068fa30323c65926547320f49b4ee97c745e8ab9b4f635d4b

Observation 60f83821-fcaf-4f3e-82c6-421ab1ef15df · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Versatile scene-consistent traffic scenario generation as optimization with diffusion, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.846923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.073920Z digest=sha256:fb1fa9666ab6d1e7a08b4fa662e76a49265954232370a4bcc03a67a474a39b3f

Observation e5ee9de8-d706-4065-8404-b77508ea2ae3 · outbound

This paper cites Symphony: Learning realistic and diverse agents for autonomous driving simulation.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Symphony: Learning realistic and diverse agents for autonomous driving simulation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.829190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.077328Z digest=sha256:557749459e9503518fc4411186f30241380783bfb1de21ff444cb3bf6aae5d84

Observation 3191507b-2aab-4beb-98a4-f070a698d982 · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 16

Resolution
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no resolver link, observed 2026-08-11T21:28:52.080622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.080622Z digest=sha256:61a6766acc5f7cd39cb502101cb681f7cb39ac440d95fa8c4f770e4e9adaca6b

Observation c0e69224-4d55-487f-9a98-0b1f86d5072c · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Planning with diffusion for flexible behavior synthesis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.084715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.084715Z digest=sha256:560bd48f838b64c3810f5036180d7a370268f222553ea03ad9f6b24c9ce8b79a

Observation 0a1ca5e6-f8dc-409f-872a-412c36538703 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Motiondiffuser: Controllable multi-agent motion prediction using diffusion

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.810731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.087992Z digest=sha256:d039b429d84678ef30053daa6b4ca7246d755238e1ce1bca9f168c893c62db1b

Observation 7cca2767-a73a-4ca8-aa0c-d0bd80f81234 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 19

Resolution
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no resolver link, observed 2026-08-11T21:28:52.091409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.091409Z digest=sha256:4319a8c940951c17b0af4e0c26f68ce5ec3a85eb7948a5407ac716b77456f971

Observation b320993a-aed4-4694-a567-0f0690049b16 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Scenecontrol: Diffusion for controllable traffic scene generation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.799375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.096081Z digest=sha256:58237ac057f5529983ace8341f5f0e368684aec33cc881fc661b77469e4a2b3c

Observation 300d2ea7-c2a5-4c88-8f51-e89f2498771b · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Repaint: Inpainting using denoising diffusion probabilistic models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.786841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.100037Z digest=sha256:ed1723bff4b50a6a0f0250ccf3634bb6ec7bddfc616686e2807f6d18ac656c20

Observation e33eaec2-f642-4348-abe1-19406dce457c · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Unigen: Unified modeling of initial agent states and trajectories for generating autonomous driving scenarios

Reference 22

Resolution
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raw_fallback, observed 2026-08-11T21:28:52.774306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.104593Z digest=sha256:ccdaf7f7dc33fda986687fc854174c8d91d5125f4e65a8039871e5b070461524

Observation 05d9f299-f24f-43b4-bcab-6524fa79e2d3 · outbound

This paper cites The waymo open sim agents challenge.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout The waymo open sim agents challenge

Reference 23

Resolution
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raw_fallback, observed 2026-08-11T21:28:52.762369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.108484Z digest=sha256:77a5a03effb74965fb087753d2cd4c995bf8733997170f8d9c6031f517e703f1

Observation e8b2f51f-6801-4f18-84fa-9a460a2c1845 · outbound

This paper cites Editable Image Elements for Controllable Synthesis.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Editable Image Elements for Controllable Synthesis

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.112398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.112398Z digest=sha256:a9e7e0105dbe45d00a7323b763aaffc36c6c6ff52246d24d41290053bc2d7000

Observation ed647968-6b5e-47d0-b733-3a6362f93b88 · outbound

This paper cites Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.116699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.116699Z digest=sha256:f3ca42932c268ace75534c2d126bda392a93a48801059c64ff677e5866806caf

Observation 0023bb81-5daf-4d48-bcc1-a6c0630950aa · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Scene transformer: A unified architecture for predicting future trajectories of multiple agents

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.750184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.120791Z digest=sha256:e43d44628f5024c0b668c326153b46bc1efe43ee73f2b6e906d909b45793e2fe

Observation 22d6bf91-4170-4e6a-9991-6bc692eacc21 · outbound

This paper cites A diffusion-model of joint interactive navigation.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout A diffusion-model of joint interactive navigation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.738992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.124311Z digest=sha256:aa0a1109d4b89883fc36a3d537e286305583db9911a881ca36c376da4f4cf709

Observation 6f8115ce-5dc0-4b32-968c-08ef42a52802 · outbound

This paper cites Lazy diffusion transformer for interactive image editing, 2024.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Lazy diffusion transformer for interactive image editing, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.727789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.128160Z digest=sha256:e98ce527b40d59da563e7c5d46a06adb323881eb56e3c3f4c7b2eb9492ee890f

Observation 03b6d0ff-1d79-4a66-91d1-97826c459d60 · outbound

This paper cites Imitating human behaviour with diffusion models.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Imitating human behaviour with diffusion models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.716182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.132232Z digest=sha256:5fb007bafe3f2aa1f66b04975f0ec371c61ca47707d3ad8140517e1f6caab796

Observation 308aa90d-dca5-4e2d-bf9e-2dc0a7b0fbe2 · outbound

This paper cites Scalable diffusion models with transformers.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Scalable diffusion models with transformers

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.703759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.135854Z digest=sha256:a38f5aa6b312c91faf954470086676b090e3bd19c51b6889cbb08188198e5b9d

Observation 6d398c50-763d-46f2-bca6-a6785c0e8738 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Trajeglish: Learning the language of driving scenarios

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.690134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.139224Z digest=sha256:f332e5c46518ed0d5f261a724db22876843b1a7c72143f7484006bd614d58122

Observation 385b43ed-2261-4e93-b6a0-c020ff4ecc8a · outbound

This paper cites Scenario diffusion: Controllable driving scenario generation with diffusion.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Scenario diffusion: Controllable driving scenario generation with diffusion

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.678033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.142754Z digest=sha256:5f18391d5a71006cf459858495cad9e773dd3eff05a2374b4f98e4424b4d4ee9

Observation 3ee74f4b-1dc6-4d87-8b1f-3378f5ff44b5 · outbound

This paper cites Generating driving scenes with diffusion.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Generating driving scenes with diffusion

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.667055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.146082Z digest=sha256:2503b590fce18af61d321704c05899f9da0334ef933e3377344c96c10a25e182

Observation a333124d-8e0e-4407-b614-a8257600a9d2 · outbound

This paper cites A simple yet effective method for simulating realistic multi-agent behaviors.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout A simple yet effective method for simulating realistic multi-agent behaviors

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.656477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.149255Z digest=sha256:d0cea771088108228d422ddb212ddacbe15750391f4cbe49419a7916c3b022b5

Observation 06cf42a7-cbbd-4302-9583-e9c5ec932b6f · outbound

This paper cites Generating useful accident- prone driving scenarios via a learned traffic prior.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Generating useful accident- prone driving scenarios via a learned traffic prior

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.645241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.152567Z digest=sha256:bf16da582002a54415ee1fc8a9ebb58076f20cd3d761d3080130405bb96c05f0

Observation 725eaf08-c500-47b3-80ec-e8b0a31710bb · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Photorealistic text-to- image diffusion models with deep language understanding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.156336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.156336Z digest=sha256:6209103d50d2492f64e1d8cba16517c714e9fa5aed97c1d0a924960a0efadf4c

Observation 89395326-b021-45bb-ae39-d7377cfbb467 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Progressive distillation for fast sampling of diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.624125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.160130Z digest=sha256:2a1aedbe6bea3af1c981b2a9ea8e2c1b8c560fcafdf47a9d7e5447460534635f

Observation b65e0bed-857d-48a8-adab-77e048f53dab · outbound

This paper cites Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.611988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.163703Z digest=sha256:aad289beb0d39aca8fe5b1ee2fd4e9cdd3ce357a043c79ba5aed5c482224d157

Observation a1a66a32-b04a-4fc6-99e2-7d2411c31725 · outbound

This paper cites Refaat, Rami Al-Rfou, and Benjamin Sapp.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Refaat, Rami Al-Rfou, and Benjamin Sapp

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.600133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.167359Z digest=sha256:1d6f4f38df887075e939a8cb0f09e49622e77d0af2f0b5b99fa8ab7178eb8baa

Observation 5400c791-7bfa-4f50-9fd5-a0d13c5243c0 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Adafactor: Adaptive learning rates with sublinear memory cost

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.589046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.170964Z digest=sha256:f4249e1cd6b2e39c9ef1413834a172d88b0a92aa7dd25cbec5f26eb69497459e

Observation 2620068b-d2ab-4388-863d-0d7c3f26c743 · outbound

This paper cites MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.174567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.174567Z digest=sha256:8fd19e889e98c570c0812317cc152d11b1803e1ed2325db01faaf166599a2139

Observation 9e5df103-8799-4051-b3d6-9b13d96d54cc · outbound

This paper cites Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.577234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.178721Z digest=sha256:b4c7308e08cd457b1db96977cfeb6f481d18f91f37ba4c50198c46c180543295

Observation e4d3b656-6dd9-4362-9592-57bb7a7b5bf4 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Make-a-video: Text-to-video generation without text-video data

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.182372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.182372Z digest=sha256:b7fd3e89e6855b318ec0744cecb4c66667cd09d47c95502363cb9eba21c58214

Observation bf9c4875-b44e-4f67-9f69-cde81df03eb0 · outbound

This paper cites Drivescenegen: Generating diverse and realistic driving scenarios from scratch.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Drivescenegen: Generating diverse and realistic driving scenarios from scratch

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.557353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.185889Z digest=sha256:6ca644ea2255f41080402e87c8d659b8e5b180fe2003fda373153bac2d08b945

Observation ecf51f38-7e7b-4b82-a80a-1220d4c9ed6f · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Trafficsim: Learning to simulate realistic multi-agent behaviors

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.544858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.189476Z digest=sha256:f4dd4cf6d160d7ea36e96963620e8689a44977c32bebce3c43ea4a9c7f5a0b51

Observation caaa9679-b497-4dd8-a876-c56c6b9fe5db · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Scenegen: Learning to generate realistic traffic scenes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.531757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.192758Z digest=sha256:32615d4f61f5226aed1ee311c100bb8ec529747ba6f5c1d337261bddf60ea28f

Observation a5fd1544-b49f-492d-a4ed-0033f2fc3094 · outbound

This paper cites Language conditioned traffic generation.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Language conditioned traffic generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.520132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.196059Z digest=sha256:919b1c1634212c8c5653e0ac0f181dbc4e1350f3a2a78c1e9ae9c4f7bc619566

Observation e13b8810-8a14-4728-9b00-2f94caa453ea · outbound

This paper cites MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.199191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.199191Z digest=sha256:c0090064245ff76dba632d0d9442084f565f2f184c095262405b821e29fd3556

Observation fcaefccb-f9d9-4727-a732-c88faddd525b · outbound

This paper cites Attention is all you need.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Attention is all you need

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:52.202756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:52.202756Z digest=sha256:6ae9b4cc02e1d2f268cc382d2a2667d091cec27d39af6882959c6860f6608885

Observation 9608e6fa-a30e-46c3-b752-147a185d0b31 · outbound

This paper cites Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.503016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.205877Z digest=sha256:23d842917c21721061b22f9ba25ec04b2bbd71de3518bcedb59cf7e61902a8bc

Observation 0465d0f9-697d-400d-be65-119655fce2c3 · outbound

This paper cites Multiverse transformer: 1st place solution for waymo open sim agents challenge 2023.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Multiverse transformer: 1st place solution for waymo open sim agents challenge 2023

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.492630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.209006Z digest=sha256:c436d8c157118bdf0bbcc61bda6b4285deedc05802aa098f404963e8c28ce16d

Observation f8e85ffb-d5da-499a-bda4-6417b0931f12 · outbound

This paper cites Bits: Bi-level imitation for traffic simulation.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Bits: Bi-level imitation for traffic simulation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.481716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.212215Z digest=sha256:7b1c3f090edb6460b74604333fc2284868fefc69aed8d37fbf286d6172de2596

Observation c8ed3b43-5855-410e-bfef-1340593e3bdd · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Wcdt: World-centric diffusion transformer for traffic scene generation, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.469480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.215256Z digest=sha256:951e44a87d7ef025761858eae7a35eb9cb9fd3b449e4947c36b3236fe90742b9

Observation 3efb6def-65d8-43bb-b028-187612cbb09a · outbound

This paper cites Trafficbots: Towards world models for autonomous driving simulation and motion prediction.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Trafficbots: Towards world models for autonomous driving simulation and motion prediction

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.457524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.219253Z digest=sha256:825663534257127bcd55ed6fae63c2fa7d9a90bcfaa75b1df391b3162dc973cf

Observation 9911b9c9-48b7-4e43-8228-dd386cdeba79 · outbound

This paper cites Tedi: Temporally-entangled diffusion for long-term motion synthesis, 2023.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Tedi: Temporally-entangled diffusion for long-term motion synthesis, 2023

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.445581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.222788Z digest=sha256:2640e962d5b12e0e6be6776ee00f228a6c045c6ac333b071db40dc0bef287c48

Observation faeab391-42cc-49eb-b094-497463a69c77 · outbound

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

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Language-guided traffic simulation via scene-level diffusion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.432803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.226711Z digest=sha256:6fdc03ae783cad604bc3fd570db59d31e73087eed892889899822b5b14b299e4

Observation c0ea04d7-9c90-4683-938c-2f46e4a1fd18 · outbound

This paper cites Guided conditional diffusion for controllable traffic simulation.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Guided conditional diffusion for controllable traffic simulation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:28:52.421378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.230253Z digest=sha256:10cfe6e1eeea7f6fa6eedf1d7176719f4f15e921b2814713ca52dcc71c32adb7

Observation 019597ef-2c0d-4e55-a4ed-a314aca617a3 · outbound

This paper cites an unresolved cited work.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:28:52.409477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.234696Z digest=sha256:686f72dfacf5649b09bcfa4fad9be05b644c1556212746615fd3c30f21bf6a88

Observation b80594b3-6c4d-4b89-88f3-84c0d7c2c840 · outbound

This paper cites an unresolved cited work.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:28:52.397915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.238614Z digest=sha256:1a57723d60f79fb1ab9b889f862a336dd201484e2d5e04a4c5566ee8c56d174e

Observation fd098f51-2d25-4705-a256-05af6f831dd4 · outbound

This paper cites an unresolved cited work.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:28:52.384293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.243770Z digest=sha256:eb33824f52afc7a1ae8fe35fa1ac5e6047332d432e199bd3ec7ba9b9f729cb2b

Observation 368e10a3-5d36-43fc-877c-5d06c16c4053 · outbound

This paper cites an unresolved cited work.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:28:52.371352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.247896Z digest=sha256:b6bbe487954b5a3d20d95dce57b04feb5f580364f2deee9efef0beccbeb85b41

Observation ce43864d-127f-47a2-a413-34fc30aa9db7 · outbound

This paper cites The f ol lo wi ng are 2 examples of a natural language input and the output is a text file that creates the c o r r e s p o n d i n g c o n s t r a i n t.

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout The f ol lo wi ng are 2 examples of a natural language input and the output is a text file that creates the c o r r e s p o n d i n g c o n s t r a i n t

Reference 62

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T21:28:52.357425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:28:52.251889Z digest=sha256:c35b6a78e0277e0378106e59e51c4067af0980235b832048cb85f22d84887d58

Pith citing papers

No inbound Pith citation observations are available.