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Paper Citation Record · LEDGER

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions

As of 16 August 2026, this Paper Citation Record lists 100 of 124 outbound references and 0 inbound Pith citation observations for arXiv:2505.12327.

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

pith.paper-citation-record.v1
2505.12327 v1

Coverage vector

measured 100 of 124 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 124 outbound references displayed

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  • verified fuzzy29
  • unresolved65
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f6f2338-b221-4394-af4d-947d5dad276b · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 1

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Observation 14baba8a-3139-4111-9110-2051caa2c50d · outbound

This paper cites Tra- jectron++: Dynamically-feasible trajectory forecasting with hetero- geneous data,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Tra- jectron++: Dynamically-feasible trajectory forecasting with hetero- geneous data,

Reference 2

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Observation 3c51d20f-627a-4a7c-bca3-c2e96f79d13e · outbound

This paper cites Motion transformer with global intention localization and local movement refinement,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Motion transformer with global intention localization and local movement refinement,

Reference 3

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Observation 9a6231c2-d466-4799-9f48-644a291567c9 · outbound

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Motiondiffuser: Controllable multi-agent motion prediction using diffusion,

Reference 4

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Observation 17a38521-c9ae-4b86-92d5-ccca302fc710 · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 5

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Observation 2a4f2c8d-abd7-4f88-a917-cde3c49057e1 · outbound

This paper cites Home: Heatmap output for future motion estimation,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Home: Heatmap output for future motion estimation,

Reference 6

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Observation 0feece51-35ed-4687-b57e-d3e89113ab36 · outbound

This paper cites Gorela: Go relative for viewpoint-invariant motion forecasting,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Gorela: Go relative for viewpoint-invariant motion forecasting,

Reference 7

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Observation e559ca44-78d8-4c30-a131-04c535076443 · outbound

This paper cites End-to-end interpretable neural motion planner,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions End-to-end interpretable neural motion planner,

Reference 8

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Observation 5c731c8b-d5d8-4598-9c29-113b8ecc65f3 · outbound

This paper cites Perceive, predict, and plan: Safe motion planning through interpretable semantic representations,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Perceive, predict, and plan: Safe motion planning through interpretable semantic representations,

Reference 9

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Observation 47d076aa-7a34-469c-a424-ffcb9c9c9e69 · outbound

This paper cites Mp3: A unified model to map, perceive, predict and plan,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Mp3: A unified model to map, perceive, predict and plan,

Reference 10

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Observation dca6e80e-dc56-4bd4-8862-989a24ec4b9c · outbound

This paper cites Rap: Risk-aware prediction for robust planning,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Rap: Risk-aware prediction for robust planning,

Reference 11

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Observation 87a9c73b-b735-4af4-a055-c859e5a9a1b0 · outbound

This paper cites Learning to collide: An adaptive safety-critical scenarios generating method,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Learning to collide: An adaptive safety-critical scenarios generating method,

Reference 12

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Observation 46ea16b8-b6b9-463b-b3bf-2dd2f717780b · outbound

This paper cites Adaptive stress testing with reward augmentation for autonomous vehicle validatio,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Adaptive stress testing with reward augmentation for autonomous vehicle validatio,

Reference 13

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Observation 052d93bf-26bf-4e09-b2ef-016c186e843d · outbound

This paper cites Constrained policy optimization,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Constrained policy optimization,

Reference 14

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Observation 1b32eaef-ee30-4813-be4b-aa49b11af178 · outbound

This paper cites Reward Constrained Policy Optimization.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Reward Constrained Policy Optimization

Reference 15

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Observation 0286a409-7a0f-435c-a5b0-9214d57ba807 · outbound

This paper cites A Review of Safe Reinforcement Learning: Methods, Theory and Applications.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Reference 16

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Observation 01da14bb-9787-4381-a497-97e1fa176ad1 · outbound

This paper cites Recovery rl: Safe reinforcement learning with learned recovery zones,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Recovery rl: Safe reinforcement learning with learned recovery zones,

Reference 17

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Observation 83b36a43-b023-479a-b476-fcd426d304c5 · outbound

This paper cites CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving

Reference 18

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Observation 6dafe9f5-85fa-43b6-bb08-b8b98ecfd2af · outbound

This paper cites Safe imitation learning via fast bayesian reward inference from preferences,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Safe imitation learning via fast bayesian reward inference from preferences,

Reference 19

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Observation 969ea8b0-3b33-4731-9c5b-a1b770bee1ba · outbound

This paper cites COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy

Reference 20

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Observation b5830caf-e567-487a-97a9-f64c9baadbef · outbound

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions King: Generating safety-critical driving scenarios for robust imita- tion via kinematics gradients,

Reference 21

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Observation 5345703c-190f-4e34-a3ef-d4c0e1f30707 · outbound

This paper cites Advsim: Generating safety-critical scenarios for self-driving vehicles,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Advsim: Generating safety-critical scenarios for self-driving vehicles,

Reference 22

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Observation d17b1007-219b-49f9-9a3c-fdf3db3ccfcd · outbound

This paper cites A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling

Reference 23

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Observation 0d4fde6d-c796-4424-bd4b-82187faf34bd · outbound

This paper cites Rocus: Robot controller understanding via sampling,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Rocus: Robot controller understanding via sampling,

Reference 24

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Observation 99df9a4d-a194-430d-a6c7-6460409b2c4e · outbound

This paper cites Game-theoretic planning for risk-aware interactive agents,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Game-theoretic planning for risk-aware interactive agents,

Reference 25

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Observation 768ef2d6-2e9b-4bb4-96a2-1f837fad9f9f · outbound

This paper cites Marc: Multipolicy and risk- aware contingency planning for autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Marc: Multipolicy and risk- aware contingency planning for autonomous driving,

Reference 26

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Observation 2b8e2c90-433e-4ff1-947c-620177fc55a7 · outbound

This paper cites Risk-sensitive linear/quadratic/gaussian control,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Risk-sensitive linear/quadratic/gaussian control,

Reference 27

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Observation febccc80-53e1-4b6b-a4c6-20c76af8b71b · outbound

This paper cites an unresolved cited work.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Unresolved cited work

Reference 28

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Observation fea33838-08b9-4d6c-978f-46a1fbe077a5 · outbound

This paper cites Contingency planning over probabilistic obstacle predictions for autonomous road vehicles,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Contingency planning over probabilistic obstacle predictions for autonomous road vehicles,

Reference 29

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Observation 525d5f9e-5d47-4889-93f9-8e3fd64dc72b · outbound

This paper cites A non- conservatively defensive strategy for urban autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions A non- conservatively defensive strategy for urban autonomous driving,

Reference 30

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Observation 43080da1-c40a-4029-a640-61a31f2f4169 · outbound

This paper cites Exact and bounded collision probability for motion planning under gaussian uncertainty,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Exact and bounded collision probability for motion planning under gaussian uncertainty,

Reference 31

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Observation a5c42ad8-18cc-4398-81d2-a7d9400383e5 · outbound

This paper cites Unfreezing the robot: Navigation in dense, interacting crowds,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Unfreezing the robot: Navigation in dense, interacting crowds,

Reference 32

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Observation 06e261e1-9bdb-4b37-8372-fd420c076185 · outbound

This paper cites SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries

Reference 33

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Observation e68526c6-88d5-407d-a20c-296d08d67e71 · outbound

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Versatile scene-consistent traffic scenario generation as optimization with diffusion,

Reference 34

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Observation 9177f781-a1a1-4ec1-929b-5229bc361745 · outbound

This paper cites Diffscene: Diffusion-based safety-critical scenario generation for autonomous vehicles,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Diffscene: Diffusion-based safety-critical scenario generation for autonomous vehicles,

Reference 35

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Observation e14e32c0-592b-4441-98e6-3e1d7fa45507 · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial net- works,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Social gan: Socially acceptable trajectories with generative adversarial net- works,

Reference 36

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Observation f99f7025-c5c5-4cc5-a186-0aa3d6b3c5af · outbound

This paper cites Motionlm: Multi-agent motion forecasting as language modeling,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Motionlm: Multi-agent motion forecasting as language modeling,

Reference 37

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source=pdf_text observed=2026-08-15T20:40:30.426254Z digest=sha256:6b41bf48ab4e6b6cb872524ae43a7ec74514f8db468dfb46c59d1fa775f064b6

Observation 3b3ef000-1160-45d5-ae7e-e855205fd22b · outbound

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 38

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source=pdf_text observed=2026-08-15T20:40:30.429263Z digest=sha256:3465e6a8fdd7a6cd9b56a8be7adba14d905e0d54cb80ab268e3d6ccdd8c42bf5

Observation 608814d4-a62d-49a2-94b6-59e5336b7068 · outbound

This paper cites Diverse Trajectory Forecasting with Determinantal Point Processes.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Diverse Trajectory Forecasting with Determinantal Point Processes

Reference 39

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source=pdf_text observed=2026-08-15T20:40:30.432666Z digest=sha256:ea8f5bd0a05ebc2cc2a58b5cedb351314d5a032e147be5227d7857e68c6aded0

Observation 002af5d3-fefb-4817-a3b4-b2391c7865af · outbound

This paper cites Diversitygan: Diversity-aware ve- hicle motion prediction via latent semantic sampling,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Diversitygan: Diversity-aware ve- hicle motion prediction via latent semantic sampling,

Reference 40

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source=pdf_text observed=2026-08-15T20:40:30.436413Z digest=sha256:2204c4f7328672ffaa7f6239b8144783e4d3c21cbfcfdc1d4eca9a31fe6b4142

Observation 27d35c35-5f17-45b4-9cf4-aef12982aa2e · outbound

This paper cites Dlow: Diversifying latent flows for diverse human motion prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Dlow: Diversifying latent flows for diverse human motion prediction,

Reference 41

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source=pdf_text observed=2026-08-15T20:40:30.439070Z digest=sha256:3e890118abb56a6a90a1792dc239cd0035930d52ba23a2406df84a6f4db6cdd4

Observation a688c476-8e83-49c1-9831-3484965901d4 · outbound

This paper cites Accurate and diverse sampling of sequences based on a “best of many.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Accurate and diverse sampling of sequences based on a “best of many

Reference 42

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source=pdf_text observed=2026-08-15T20:40:30.441399Z digest=sha256:d9f64de4d73fa02414d8e66488bac770cadd6915d15258e141365666e26e6be7

Observation d9aa20a2-eddd-486b-aacf-1ffbf628e5f3 · outbound

This paper cites R2p2: A reparame- terized pushforward policy for diverse, precise generative path fore- casting,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions R2p2: A reparame- terized pushforward policy for diverse, precise generative path fore- casting,

Reference 43

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source=pdf_text observed=2026-08-15T20:40:30.444070Z digest=sha256:9f631b05054a21316cd03330f30f78cec2e6d562eb2151fcb27ba8b34c339154

Observation a608cfec-875a-4933-885b-db1ac748091f · outbound

This paper cites Social ways: Learning multi-modal distributions of pedestrian trajectories with gans,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Social ways: Learning multi-modal distributions of pedestrian trajectories with gans,

Reference 44

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source=pdf_text observed=2026-08-15T20:40:30.446550Z digest=sha256:e518f70fa62b0c8f80890f7652b7dbc7bf836768db8dc90d6562fddbd85042b2

Observation 7f7b9e1a-0483-4727-b744-2e9628f699bc · outbound

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Scept: Scene-consistent, policy-based trajectory predictions for planning,

Reference 45

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source=pdf_text observed=2026-08-15T20:40:30.448980Z digest=sha256:3d433068f0d91a7b9c7e8a7d34c9f93b38ec0b013c19c7f7e2df246e7f7396b6

Observation 824205e8-9b15-4436-9adb-036093ec3fc7 · outbound

This paper cites Divide-and-conquer for lane-aware diverse trajectory prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Divide-and-conquer for lane-aware diverse trajectory prediction,

Reference 46

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source=pdf_text observed=2026-08-15T20:40:30.451421Z digest=sha256:cc0575bbc4e0efc5b37ac08f743fda4fc2f732972fe6df0c059d7ad17d75a4f2

Observation d830c37a-a623-4858-9294-83193a4ae95a · outbound

This paper cites Tnt: Target-driven trajectory prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Tnt: Target-driven trajectory prediction,

Reference 47

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source=pdf_text observed=2026-08-15T20:40:30.454012Z digest=sha256:a28882422e7fe685b36a9ec1d4429605a1621bb459a271ba00f5bf2b0aa17f7c

Observation 8f3627d9-6ed8-4e0e-90ea-d3c237730d7e · outbound

This paper cites Lookout: Diverse multi-future prediction and planning for self-driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Lookout: Diverse multi-future prediction and planning for self-driving,

Reference 48

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source=pdf_text observed=2026-08-15T20:40:30.456446Z digest=sha256:4b49bfd23b82c626d3190589d4df921acbdfde8b79d7dc52f76f5e0f50a662ea

Observation 627d7969-7c27-4882-9e80-84dfc0273438 · outbound

This paper cites The importance of prior knowledge in precise multimodal prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions The importance of prior knowledge in precise multimodal prediction,

Reference 49

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source=pdf_text observed=2026-08-15T20:40:30.458969Z digest=sha256:4047e5cec36cab496b773e3238d4d0cadebc5ccddc20b4a0b7689bb02957d44c

Observation 81f09bc5-730c-4e92-b188-e60358eb18ff · outbound

This paper cites Control-aware prediction objectives for autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Control-aware prediction objectives for autonomous driving,

Reference 50

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source=pdf_text observed=2026-08-15T20:40:30.461427Z digest=sha256:549d5ffeff85d0a9bab0c7af1e5abc3341fbe4e45d8faccbb3c4c02f4f32d7ba

Observation 2629baa8-e2f9-4700-8868-20af1bd222dc · outbound

This paper cites Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving,

Reference 51

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source=pdf_text observed=2026-08-15T20:40:30.464257Z digest=sha256:ff79b348e23db1efe2e0370f8fc2fff750c4be48949d7a114bf89760b4b4c56b

Observation e63f6f57-83c4-4f2d-83b0-9b1bfadf61e5 · outbound

This paper cites Get-dipp: Graph-embedded transformer for differen- tiable integrated prediction and planning,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Get-dipp: Graph-embedded transformer for differen- tiable integrated prediction and planning,

Reference 52

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source=pdf_text observed=2026-08-15T20:40:30.467375Z digest=sha256:54591114fb2fc76302bae8a33f6ad504e962464d409ccc5e414abc880aa1caf2

Observation 9492f1b1-66cc-406b-bd35-46e4d2587e09 · outbound

This paper cites Hybrid- prediction integrated planning for autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Hybrid- prediction integrated planning for autonomous driving,

Reference 53

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source=pdf_text observed=2026-08-15T20:40:30.470343Z digest=sha256:b121b8f1754a9e3628561a15d681bc4835b39ad15882f02392558132ce60a643

Observation aca1a5c7-442e-4600-bdd2-7608c8f5c506 · outbound

This paper cites Dtpp: Differentiable joint conditional prediction and cost evaluation for tree policy planning in autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Dtpp: Differentiable joint conditional prediction and cost evaluation for tree policy planning in autonomous driving,

Reference 54

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source=pdf_text observed=2026-08-15T20:40:30.473248Z digest=sha256:3a582181fe7d802f257af08f2e1be78bcdc1b5bda04bb5f664bb696d1e3437bc

Observation d0403944-e1c1-47d0-b14d-4bb84f4ff378 · outbound

This paper cites Diffstack: A differentiable and modular control stack for autonomous vehicles,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Diffstack: A differentiable and modular control stack for autonomous vehicles,

Reference 55

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source=pdf_text observed=2026-08-15T20:40:30.476115Z digest=sha256:b0ee8a23c1d9231974151b255494f536eba5d32f23ca3951652bb7a4969cd505

Observation e8ff0c1a-29a8-4880-ab13-deaf37395245 · outbound

This paper cites Importance sampling for online planning under uncertainty,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Importance sampling for online planning under uncertainty,

Reference 56

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raw_fallback, observed 2026-08-15T20:40:31.611443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.479077Z digest=sha256:eecf184d72e6899b660c47c4455f87af28acaa397ea3675d460efcf033f0bc8c

Observation 917f15a9-a327-48cc-9f48-af2460deb6ad · outbound

This paper cites Scalable end-to-end autonomous vehicle testing via rare- event simulation,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Scalable end-to-end autonomous vehicle testing via rare- event simulation,

Reference 57

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raw_fallback, observed 2026-08-15T20:40:31.602272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.482014Z digest=sha256:0f5dd58c997bff68d7f3b0aa839eb0f79fa3eb9f8b9579aac3cf4fe3557c250a

Observation 7f8fa210-3635-4d11-81ae-9b16020cec4f · outbound

This paper cites Neural bridge sampling for evaluating safety-critical autonomous systems,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Neural bridge sampling for evaluating safety-critical autonomous systems,

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.484861Z digest=sha256:26536f13225ae35870083cd9adf8b3f068e656d2f79b1669565ab4ad9f8e805a

Observation 1d804313-8819-446b-9623-0e15fbe82ec0 · outbound

This paper cites Model-based validation as probabilistic inference,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Model-based validation as probabilistic inference,

Reference 59

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raw_fallback, observed 2026-08-15T20:40:31.583093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.488106Z digest=sha256:bc0cc69f34d3e340c6a3e4e854aaeb4abf6aeae42fa102c2b6f004831cb97c52

Observation bb2b714b-f26d-48cf-912d-f93b8d407c5d · outbound

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions A survey of algorithms for black-box safety validation of cyber-physical systems,

Reference 60

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source=pdf_text observed=2026-08-15T20:40:30.490963Z digest=sha256:87e02c723e4d890f07eac4e82d330d837e484775afbcef3155a26c72ead47701

Observation af4ab449-06e4-4915-867e-ee3c3a4a8294 · outbound

This paper cites How should a robot assess risk? to- wards an axiomatic theory of risk in robotics,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions How should a robot assess risk? to- wards an axiomatic theory of risk in robotics,

Reference 61

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raw_fallback, observed 2026-08-15T20:40:31.567161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.493996Z digest=sha256:0420639ab07323cdee79f3a99d10d3fca321d7bb3f7735a308212cbe0672c626

Observation ba4a6f2f-f4de-4a2f-88bd-274397197473 · outbound

This paper cites Dynamically conservative self-driving planner for long-tail cases,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Dynamically conservative self-driving planner for long-tail cases,

Reference 62

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raw_fallback, observed 2026-08-15T20:40:31.557478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.497115Z digest=sha256:3fb8752270d0453248bd4103380334d8915d58c37cea9042a2f9c3981f65f347

Observation 1de95389-005b-4c2f-baf6-545c0afa7866 · outbound

This paper cites Long-tail prediction uncertainty aware trajectory planning for self- driving vehicles,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Long-tail prediction uncertainty aware trajectory planning for self- driving vehicles,

Reference 63

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raw_fallback, observed 2026-08-15T20:40:31.547656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.500075Z digest=sha256:0a9dbe1491e0b5259d95605ea4044421b0ec9e089374ae00e11028dffff8379e

Observation 1047f107-1411-4dc4-a3e5-601819503a35 · outbound

This paper cites Game- theoretic planning for autonomous driving among risk-aware human drivers,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Game- theoretic planning for autonomous driving among risk-aware human drivers,

Reference 64

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raw_fallback, observed 2026-08-15T20:40:31.538223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.503071Z digest=sha256:194f07787b3dd5b41e49ff44cc89b3c5be5aa7504ffc29f77b74b4f336a60482

Observation 208e743d-0520-4e03-9dd6-33527fc9bafa · outbound

This paper cites An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors

Reference 65

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local_arxiv, observed 2026-08-15T20:40:30.958551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.506029Z digest=sha256:f9b1415650fe8045ed41f412a4aebec7a608bdabb8a88c7bb699903c4fac64d5

Observation d702d6ad-b0c8-4947-8b20-8a43979647d2 · outbound

This paper cites Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty

Reference 66

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local_arxiv, observed 2026-08-15T20:40:30.945084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.509233Z digest=sha256:a8af42522122dbc5b8c6fc66b418e957f59afe7ab3d73d10754d49fd3c9abfb2

Observation a25d2fdc-b336-46c3-9925-29f34f84107e · outbound

This paper cites From footprints to beliefprints: Motion planning under uncertainty for maneuvering automated vehicles in dense scenarios,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions From footprints to beliefprints: Motion planning under uncertainty for maneuvering automated vehicles in dense scenarios,

Reference 67

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raw_fallback, observed 2026-08-15T20:40:31.528645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.512697Z digest=sha256:57a54ce959ff17373f6742669852caa8a155260b90fe1f087651ac1bf9a3d666

Observation 5490052e-d015-44f9-a1f9-3c05488b9eca · outbound

This paper cites Planning on a (risk) budget: Safe non-conservative planning in probabilistic dynamic environments,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Planning on a (risk) budget: Safe non-conservative planning in probabilistic dynamic environments,

Reference 68

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raw_fallback, observed 2026-08-15T20:40:31.518987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.515732Z digest=sha256:ee6513b91683951a96934ec1f32a5456937bff2903ebdf988116424fea22d600

Observation 90751b73-06d5-4f1d-8808-b393c78712da · outbound

This paper cites Risk-constrained interactive safety under behavior uncertainty for autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Risk-constrained interactive safety under behavior uncertainty for autonomous driving,

Reference 69

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raw_fallback, observed 2026-08-15T20:40:31.509478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.518820Z digest=sha256:26058c3aa3b1de7450bb1907b0b8431d59ec9955032efa56cd859b9fa79e45ea

Observation 392e8b48-9693-4de5-acbd-24b27a09dd67 · outbound

This paper cites Efficient uncertainty-aware collision avoidance for autonomous driving using convolutions,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Efficient uncertainty-aware collision avoidance for autonomous driving using convolutions,

Reference 70

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raw_fallback, observed 2026-08-15T20:40:31.499681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.524602Z digest=sha256:4f0c0f01133025827809e5b89a95129824b61445bfe49f5d69465f1418279cba

Observation 8c4ba978-fef2-497b-9e57-522bd9c701ed · outbound

This paper cites Racp: Risk-aware contingency planning with multi-modal predictions,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Racp: Risk-aware contingency planning with multi-modal predictions,

Reference 71

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raw_fallback, observed 2026-08-15T20:40:31.490540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.529139Z digest=sha256:c8322fc358736b3c32f6949d4add134e8be9861d881fe34133d39e81310eed0e

Observation b2ab04a0-d89e-43b5-9556-86ef57764065 · outbound

This paper cites Safe planning for self- driving via adaptive constrained ilqr,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Safe planning for self- driving via adaptive constrained ilqr,

Reference 72

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raw_fallback, observed 2026-08-15T20:40:31.480969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.532159Z digest=sha256:417515e6c2501cce74a4b2020c66100365cd7399b80049b7145787058a79e6f8

Observation 60b9fd73-e4a9-4e08-8b43-c6526db5d8a7 · outbound

This paper cites Online update of safety assurances using confidence-based predictions,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Online update of safety assurances using confidence-based predictions,

Reference 73

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raw_fallback, observed 2026-08-15T20:40:31.434830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.535038Z digest=sha256:f1252a6ee54428af080d36d74a4bb8ee5d9ab232efb6403ae04a034c67a77191

Observation 9d63f166-31dc-47f1-b412-40388bc150c5 · outbound

This paper cites Prediction- based reachability for collision avoidance in autonomous driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Prediction- based reachability for collision avoidance in autonomous driving,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.420410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.537940Z digest=sha256:97ff8158b033b4502b06919a2ce9efba3e85fe9e7ea16ce00b71265ded0b740a

Observation 024e66a9-e21f-4992-861b-8c59f7b67da8 · outbound

This paper cites Multi-agent reachability calibration with conformal prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Multi-agent reachability calibration with conformal prediction,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.411131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.541195Z digest=sha256:24d693f496c18f9fdb5150bd8ed3185b33729a3e5e77e0583f8e1ae69c4a91be

Observation 2e4e5179-8fb5-47f9-9427-73e505ef0cf1 · outbound

This paper cites Robust Predictive Motion Planning by Learning Obstacle Uncertainty.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Robust Predictive Motion Planning by Learning Obstacle Uncertainty

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:40:30.931644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.544423Z digest=sha256:25342a985a4c1d0207369314be1b25298d69aad6f7a129109734fbc2a99e0af9

Observation 0b8d5ddb-46c2-4841-b549-29fae2d46f7c · outbound

This paper cites Safe planning and control under uncertainty for self-driving,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Safe planning and control under uncertainty for self-driving,

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.402010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.547829Z digest=sha256:82e65ac87438609d8f297606c9a529667e93572a3cad3fa2a44c2a97740ff110

Observation dee7d1e3-eede-43e5-863a-4a08c58841bf · outbound

This paper cites Safe planning in dynamic environments using conformal prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Safe planning in dynamic environments using conformal prediction,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.391842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.550996Z digest=sha256:539fcd4e511c952ae88c605fb20e82c1b914820bce172eb340d884d0453d54ea

Observation c7b84bb3-ab0b-428d-9a3e-1f0adaa025e5 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 79

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unresolved
no resolver link, observed 2026-08-15T20:40:30.554105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.554105Z digest=sha256:ecc4744a1805992907eac49b409a03fc47fc37a7442195d7030bb6c97cb417f5

Observation 51c1d339-d786-4b09-8383-096c05cc6efe · outbound

This paper cites Denoising diffusion probabilistic models,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Denoising diffusion probabilistic models,

Reference 80

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unresolved
no resolver link, observed 2026-08-15T20:40:30.557152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.557152Z digest=sha256:b2a809beac2e90ad41a58ac96cfee194391cca1206390db9fac7cd7460b012a1

Observation 79504769-f4e5-4200-a60e-ff3a3db16067 · outbound

This paper cites Denoising Diffusion Implicit Models.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Denoising Diffusion Implicit Models

Reference 81

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no resolver link, observed 2026-08-15T20:40:30.560161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.560161Z digest=sha256:c3504b716b9a329599dd0a46e49eeb9d6291591b98c47bdd376df24e5fa83ff3

Observation b1dcae81-d7fc-4970-8a8a-8b93e0b2bdc6 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Score-Based Generative Modeling through Stochastic Differential Equations

Reference 82

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unresolved
no resolver link, observed 2026-08-15T20:40:30.563205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.563205Z digest=sha256:c35c18c4b1d977b6aa7c3d89e73b9a1c4c00c59250f8bbe23e1f0cd7d458740b

Observation 4e5bc3c7-88e0-4e37-a4a1-a0f4d9080368 · outbound

This paper cites Improved denoising diffusion prob- abilistic models,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Improved denoising diffusion prob- abilistic models,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.369353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.566508Z digest=sha256:1ad662b5a6f49f41d15bbc0c67154ecb083001d798be3fa810d497a28018e612

Observation 519c7855-6a44-42a9-a0b1-450c8191efc2 · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Elucidating the design space of diffusion-based generative models,

Reference 84

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no resolver link, observed 2026-08-15T20:40:30.569402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.569402Z digest=sha256:2356f7db142df80bb1cf8b20e5ad3594c4a66fa5d7ff4f61e513f3ffc1f2c2b2

Observation 9cc7d13d-7d3a-4bad-b1a4-507cd7308daf · outbound

This paper cites Diffusion models beat gans on im- age synthesis,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Diffusion models beat gans on im- age synthesis,

Reference 85

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unresolved
no resolver link, observed 2026-08-15T20:40:30.571857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.571857Z digest=sha256:d8a57870de4c9455670b1ab59257442efd31d6e3e5c23019c6b1448185ec7264

Observation 075477c6-61a4-41ab-8441-755950674e8b · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:30.574259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.574259Z digest=sha256:9abb6f4d066922218d57477eb526a787227b77276ef3ee4b952c1611f6f92001

Observation d1af12b9-64a6-4e30-a05f-e5f8d6397293 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:30.576834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.576834Z digest=sha256:71a23bc2d38fb2f8aed977cfae75e5b1dedbb8f732b25471da2dc3db6c524fd6

Observation c4a4cca1-f020-45e9-9650-eaaed6e62426 · outbound

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

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Photorealistic text-to-image diffusion models with deep language understanding,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.347394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.579600Z digest=sha256:48d2b495f183708d0c315cbc1016d78abd462d4d4977cb57c9c4c14088486506

Observation 882bb37e-bc22-461a-a0db-511f756b440f · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions High-resolution image synthesis with latent diffusion models,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.337991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.582136Z digest=sha256:3c98a4d27e9a0155c25c3f414abe880ba79833e8be4c99702a923efcb77be916

Observation 122292be-6fad-4f24-a1a3-3868a01da99f · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Imagen Video: High Definition Video Generation with Diffusion Models

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:30.584355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.584355Z digest=sha256:85e6f837fd4ed825cb4ba5d5efa8e8e04bc64ccaa5e57f98abe8d82f26977d08

Observation 83b940a5-2765-415b-8f0e-beb83bb9e63b · outbound

This paper cites Video Diffusion Models.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Video Diffusion Models

Reference 91

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.587307Z digest=sha256:17eb8550a4bc243f2c3e2df1be67a8cbc6e383906b98cf3b258e89b031b7c5ef

Observation a7b5860d-f365-42e2-b53d-506e84413e2d · outbound

This paper cites Diffusion probabilistic mod- eling for video generation,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Diffusion probabilistic mod- eling for video generation,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.328235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.590491Z digest=sha256:5f1f0b07d97aa6472b097748575b5aa09dd034c145bb9a5066b5c88a899444b6

Observation 014f9c9a-6098-4290-92bb-4cfe5b0f1181 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Align your latents: High-resolution video synthesis with latent diffusion models,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.318807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.593460Z digest=sha256:b2fed9476539799369fb6725ee73efd0a4b7c31600952e0a1dd5365c58cf27c2

Observation bf0533a6-2dfc-47fe-bdfb-ec2973a225fd · outbound

This paper cites Stochastic trajectory prediction via motion indeterminacy diffusion,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Stochastic trajectory prediction via motion indeterminacy diffusion,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.310547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.596358Z digest=sha256:1aa8306c50c149b45053d6382e1f4db17057efe1d94dd36dfa068a11268a2649

Observation e76a40c0-c76a-4661-bad1-af04e3127f30 · outbound

This paper cites DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:30.599471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.599471Z digest=sha256:a312c0a00cbea3c7b9872de70755b7a084361eef9d11c3333983f19ead1f2eb7

Observation 4755004a-cb09-4f36-bb25-2c62143de949 · outbound

This paper cites Equidiff: A condi- tional equivariant diffusion model for trajectory prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Equidiff: A condi- tional equivariant diffusion model for trajectory prediction,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.301722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.602660Z digest=sha256:42cb05d81a55d7326cd30f874d25c4a2259f81dc2d8a0b90caf4baa221397689

Observation 370ab203-0d58-4f44-a921-d5c8adbf2ccb · outbound

This paper cites Trace and pace: Controllable pedestrian animation via guided trajectory diffusion,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Trace and pace: Controllable pedestrian animation via guided trajectory diffusion,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.292792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.605896Z digest=sha256:695d9bb973290f57e55e060316e8aaa1718c0bbe9467f3647e7a00976b811970

Observation c572d78f-e58b-405f-a0a0-e229c44c2453 · outbound

This paper cites Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory predic- tion,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory predic- tion,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.283110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.609061Z digest=sha256:a141fc175543382ba3abb87cc0dd8466dffffa84771cc7ecea609a41f68bcd2d

Observation e966ca68-00ca-4021-8359-3ea3aa2e7cec · outbound

This paper cites Leapfrog diffusion model for stochastic trajectory prediction,.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Leapfrog diffusion model for stochastic trajectory prediction,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:31.273450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T20:40:30.612468Z digest=sha256:b8a3ec1689ecea959997fd3a8bb483332c36e8abec5835683fe442bfce86cae7

Observation 04f104cc-e854-471c-9349-198eabaee4cf · outbound

This paper cites Diffusion-Based Environment-Aware Trajectory Prediction.

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions Diffusion-Based Environment-Aware Trajectory Prediction

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:30.615877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:30.615877Z digest=sha256:d15e96f7f452503113b6d7a82c0f3fd6831e27f681906936c5688dda9dc4e586

Pith citing papers

No inbound Pith citation observations are available.