Paper Citation Record · LEDGER

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation

As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2502.12178.

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

pith.paper-citation-record.v1
2502.12178 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:07:09.482529Z

measured 47 of 47 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T14:13:18.951079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T14:16:27.895549Z

Reference resolution

46 of 46 outbound references displayed

verified exact3
verified fuzzy20
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4152bfe6-b8f6-498f-8aab-b550d1bc8be7 · outbound

This paper cites Data-driven Traffic Simulation: A Comprehensive Review.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Data-driven Traffic Simulation: A Comprehensive Review

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:07:09.716064Z

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 ce2eb779-c25f-41da-a6f4-ae64e5929343 · outbound

This paper cites Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? Transportation Research Part A: Policy and Practice , 94:182–193, 2016.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? Transportation Research Part A: Policy and Practice , 94:182–193, 2016

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.967754Z

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 41a608f4-4744-41ee-8e7a-e11f49227195 · outbound

This paper cites Language-Guided Traffic Simulation via Scene-Level Diffusion.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Language-Guided Traffic Simulation via Scene-Level Diffusion

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.322030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75098c64-3d9e-4863-88e0-c7a27ade9e67 · outbound

This paper cites Reinforcement Learning with Human Feedback for Realistic Traffic Simulation.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Reinforcement Learning with Human Feedback for Realistic Traffic Simulation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:07:09.692250Z

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 c8ab23c3-c4b6-4ac3-9f70-67bb95b4f7da · outbound

This paper cites RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.330412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0c88c0-d4fc-4fd5-b2b1-3ea354d6fa95 · outbound

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

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Scenecontrol: Diffusion for controllable traffic scene generation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.956569Z

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 9b4ac365-7a3f-486f-b24c-14772c8175b6 · outbound

This paper cites Direct preference optimiza- tion: Your language model is secretly a reward model.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Direct preference optimiza- tion: Your language model is secretly a reward model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.945588Z

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 3b15ace2-acc1-42a4-8803-b7cad4e87641 · outbound

This paper cites Task switching network for multi-task learning.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Task switching network for multi-task learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.934289Z

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 e756ef06-8a54-4084-8409-7a5e4cdb2618 · outbound

This paper cites Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.346067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebd79d02-15fa-4526-b158-a9627e3f40e0 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation nuscenes: A multimodal dataset for autonomous driving

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.350340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02fc8d89-01fb-44dd-9dfd-befda217194c · outbound

This paper cites Toward benchmarking of microscopic traffic flow models.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Toward benchmarking of microscopic traffic flow models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.917122Z

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 c358e09b-cb5b-4df3-bac4-bb5855c0cca4 · outbound

This paper cites Microscopic traffic simulation using sumo.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Microscopic traffic simulation using sumo

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.906628Z

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 d9c88809-4477-4b2e-8143-814d43366375 · outbound

This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.361168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e84b7274-e8d0-4a88-acbe-c4a15d77c9eb · outbound

This paper cites Scept: Scene- consistent, policy-based trajectory predictions for planning.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Scept: Scene- consistent, policy-based trajectory predictions for planning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.896092Z

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 4e7a3a2e-221a-4c9d-bbc5-386e8cf856ee · outbound

This paper cites Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.368679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ece018-e50c-4c96-9ad0-347c7fbc520e · outbound

This paper cites Trace and pace: Con- trollable pedestrian animation via guided trajectory diffusion.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Trace and pace: Con- trollable pedestrian animation via guided trajectory diffusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.878924Z

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 8768df31-4d59-4d6f-be23-f47a162a6978 · outbound

This paper cites Auto-Encoding Variational Bayes.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Auto-Encoding Variational Bayes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.375603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ab04a4-c7f2-4bb9-95d7-2f9be0f751a4 · outbound

This paper cites Denoising diffusion probabilistic models.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Denoising diffusion probabilistic models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.379366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 047883b0-2314-47d9-95f2-052e8ac3881c · outbound

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

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Motiondiffuser: Controllable multi- agent motion prediction using diffusion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.861974Z

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 6fc4a896-ddf1-4272-b25f-585199c28884 · outbound

This paper cites SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.386606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e126b50-95d8-4519-a3b5-e3164ac1df87 · outbound

This paper cites Generating Driving Scenes with Diffusion.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Generating Driving Scenes with Diffusion

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.390524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 026b13c8-a48f-4ce3-9b13-8c06ed4326b4 · outbound

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

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Scenario diffusion: Controllable driving scenario generation with diffusion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.852113Z

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 39bb2527-6ac8-4861-a1b5-7a37fcecdee1 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Planning with Diffusion for Flexible Behavior Synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.397786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f21fa55-451d-4801-956e-f7f4c1e8c5a4 · outbound

This paper cites Diffscene: Diffusion-based safety-critical scenario generation for au- tonomous vehicles.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Diffscene: Diffusion-based safety-critical scenario generation for au- tonomous vehicles

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.841912Z

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 4d598bae-7438-43b7-8117-d63575d86197 · outbound

This paper cites King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.831613Z

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 af4af7ea-3926-4569-89c4-1adfc6bdc9bb · outbound

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

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation A diffusion-model of joint interactive navigation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.821441Z

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 dc31ab81-f9b0-4e88-9ced-4117ccd7ddaa · outbound

This paper cites BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.412052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a141360c-31f8-4329-b963-7daec1d1d9ce · outbound

This paper cites Language-Driven Interactive Traffic Trajectory Generation.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Language-Driven Interactive Traffic Trajectory Generation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:07:09.602249Z

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 d6e47084-ab8f-41b8-be84-77e237af952a · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.810955Z

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 d02a3ced-e647-4d01-9167-c6869462ebc8 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.423038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3855b4e-44f5-4843-af67-e78b431beed9 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Adding conditional control to text-to-image diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.798777Z

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 415351e2-51aa-4e25-a83e-0d59e8924a55 · outbound

This paper cites Low-rank adaptation for fast text-to-image diffusion fine- tuning, 2023.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Low-rank adaptation for fast text-to-image diffusion fine- tuning, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.788036Z

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 16d66cc5-8705-44f1-b57a-3939c7cce238 · outbound

This paper cites SVDiff: Compact Parameter Space for Diffusion Fine-Tuning.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.433375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09c1c60-9b35-40c4-9041-817c242cc27d · outbound

This paper cites Diffusion Model Alignment Using Direct Preference Optimization.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Diffusion Model Alignment Using Direct Preference Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.437041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc88243-1d28-4a9e-8297-90cdbbc49f41 · outbound

This paper cites AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.441438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad29cea7-9875-40c3-a5ba-e1e29bdec98f · outbound

This paper cites Feedback Efficient Online Fine-Tuning of Diffusion Models.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Feedback Efficient Online Fine-Tuning of Diffusion Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.445527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f476de1-2ced-4dbf-ad08-49a04a3f63ee · outbound

This paper cites Guided conditional dif- fusion for controllable traffic simulation.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Guided conditional dif- fusion for controllable traffic simulation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.775864Z

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 5681f8c5-6e6c-4d5d-944f-f2d9d040a2ce · outbound

This paper cites an unresolved cited work.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:07:09.765197Z

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 94b22acc-f2d1-4918-982c-a15493da7f6c · outbound

This paper cites Improved denoising diffusion probabilistic models.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Improved denoising diffusion probabilistic models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.754521Z

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 11c00634-b997-4bcd-8dac-e6f402bb9acc · outbound

This paper cites Video Diffusion Models.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Video Diffusion Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.460020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d7c3d5-746d-46e1-81de-2acc81fcfdca · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.463911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcbfdf39-353a-4e90-9cfe-4b2c56b4f1da · outbound

This paper cites Scalable diffusion models with transformers.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Scalable diffusion models with transformers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.743855Z

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 b927fd4b-4c3f-4a42-970d-c2293e5d53f2 · outbound

This paper cites Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.471720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653d82f0-e58a-4f0c-9600-dc62f106ada8 · outbound

This paper cites Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.475512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c33aa1-4666-4286-91d6-b4416eb1b9fb · outbound

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

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Bits: Bi-level imitation for traffic simulation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:07:09.733434Z

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 703e1590-4231-40fb-8d85-01f198462c06 · outbound

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

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Generating useful accident-prone driving scenarios via a learned traffic prior

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.482529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 08e15cd9-f752-430e-b373-41714edb1ff9 · inbound

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment cites this paper.

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:16:27.897502Z

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.