Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification | Paper Citation Record

Observation d706038b-9b55-4c72-a07c-a1d47ace6048 · outbound

This paper cites Cross-view semantic segmentation for sensing surroundings,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Cross-view semantic segmentation for sensing surroundings,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:17.015181Z

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Observation 1a693947-9c19-4761-874e-37c2fc2a45ed · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:16.854451Z

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Observation bd5a0623-8906-4fa2-80bd-4f31f9b02f09 · outbound

This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective supervision,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:16.697174Z

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Observation 82dd4a83-acf5-4fca-83f4-9416761b6315 · outbound

This paper cites CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:50:11.523240Z

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Observation b97ec6fe-6747-4f96-bb25-3f983a7d2441 · outbound

This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 5

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Observation 5660e623-d552-490f-b131-07e6735a1087 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:16.548092Z

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Observation dfd5873d-1d72-4304-a073-246877191d99 · outbound

This paper cites Simple-bev: What really matters for multi-sensor bev perception?.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Simple-bev: What really matters for multi-sensor bev perception?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:16.395134Z

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Observation ed59ed8d-f81d-44fc-87e1-648d0affd584 · outbound

This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevdepth: Acquisition of reliable depth for multi-view 3d object detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:16.205990Z

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Observation 06019327-14e4-42f4-a634-bca10cdd6989 · outbound

This paper cites Petr: Position embedding trans- formation for multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Petr: Position embedding trans- formation for multi-view 3d object detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:16.045974Z

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Observation ce4df9f9-95dc-406a-89b8-13b9b96a858c · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification A simple framework for contrastive learning of visual representations,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T23:50:06.450194Z

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Observation 04a3e24e-5736-4109-8bcc-a2f87ee2b5a9 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Momentum contrast for unsupervised visual representation learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:15.892711Z

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Observation 5cb2124b-137e-4293-8b88-4d44dbabbe8a · outbound

This paper cites Supervised contrastive learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Supervised contrastive learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:15.755436Z

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Observation b31c41ee-b1c9-4366-8d90-7507c5d9b2c3 · outbound

This paper cites Contrastive Learning for Object Detection.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Contrastive Learning for Object Detection

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:50:11.355749Z

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Observation 2ef93534-4d63-4fc3-bcd1-8f11a9c9e3ff · outbound

This paper cites ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:50:11.126776Z

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Observation efe2ee9c-544d-4418-8e8c-fda7371b9e1f · outbound

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

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification nuscenes: A multimodal dataset for autonomous driving,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:15.648647Z

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Observation 0a572d0d-2fe3-4a40-8a6b-d3ff6078bb88 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Scalability in perception for autonomous driving: Waymo open dataset,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:15.541899Z

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Observation 4142e823-302c-4fb9-ad63-07e4b52f0302 · outbound

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

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Argoverse 2: Next generation datasets for self-driving perception and forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:15.402841Z

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Observation 86e06f67-aa31-4d06-b8b9-d1739c46f110 · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bridgedata v2: A dataset for robot learning at scale,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:15.212159Z

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Observation c7228fb2-07d8-4c01-9bb7-9cc145d9ddab · outbound

This paper cites Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:15.051202Z

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Observation e5f85655-72da-4633-81b6-320dfcd4e20b · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification ImageNet: A Large-Scale Hierarchical Image Database,

Reference 20

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Observation b29867c5-c5a5-49e7-9f8d-cc065a93b1f7 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:14.865875Z

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Observation 96f70bc3-027e-4821-a9a0-b9a040dadc68 · outbound

This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:50:07.394480Z

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Observation c37d4886-c444-4556-b34c-05174e19da6b · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:14.686119Z

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Observation 68481600-4396-4483-b05d-e0ab5a86e3ca · outbound

This paper cites Understanding bird’s-eye view of road semantics using an onboard camera,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Understanding bird’s-eye view of road semantics using an onboard camera,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:14.504460Z

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Observation 80fa726e-bacd-43be-93fc-398ac67b5f32 · outbound

This paper cites Petrv2: A unified framework for 3d perception from multi-camera images,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Petrv2: A unified framework for 3d perception from multi-camera images,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:14.313447Z

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Observation db72df96-f037-4399-94c7-1d62d4f5e4b0 · outbound

This paper cites Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T23:50:08.017871Z

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Observation 5c9b6f08-4b52-41e3-adad-1d71bcb6af60 · outbound

This paper cites Polarformer: Multi-camera 3d object detection with polar transformer,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Polarformer: Multi-camera 3d object detection with polar transformer,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:14.190395Z

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Observation 89e3b44e-b0ff-46fd-b826-9b7e78f1e0a4 · outbound

This paper cites Tig-bev: Multi-view bev 3d object detection via target inner-geometry learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Tig-bev: Multi-view bev 3d object detection via target inner-geometry learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:13.999253Z

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Observation 6752b74b-b2a3-42df-8bb4-bc9e5457cce1 · outbound

This paper cites Sa-bev: Generating semantic- aware bird’s-eye-view feature for multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Sa-bev: Generating semantic- aware bird’s-eye-view feature for multi-view 3d object detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:13.862013Z

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Observation 2398309c-a0c2-44d8-938d-3d92976a4a57 · outbound

This paper cites Fb- bev: Bev representation from forward-backward view transformations,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Fb- bev: Bev representation from forward-backward view transformations,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:13.701310Z

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Observation a261ae8f-a353-4b24-bcab-c6d190b2e1db · outbound

This paper cites Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:13.554070Z

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Observation 590e798d-2c9b-42b9-9778-176763e767d1 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:13.369758Z

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Observation 911afc30-8ec0-48c4-929b-fa64c41f1b47 · outbound

This paper cites Internimage: Exploring large-scale vision foundation models with deformable convolutions,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Internimage: Exploring large-scale vision foundation models with deformable convolutions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:13.183871Z

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Observation 8ea29bb3-ee1f-4b74-81df-c99ace34a20e · outbound

This paper cites Bootstrap your own latent-a new approach to self- supervised learning,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Bootstrap your own latent-a new approach to self- supervised learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:13.051376Z

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Observation c3a4f6a1-dcb6-4f1d-9a5b-10c8e2e149f4 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Barlow twins: Self-supervised learning via redundancy reduction,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:12.861317Z

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Observation beff3e9d-dd93-4c21-96ba-1b0eb80d73b2 · outbound

This paper cites Semi-supervised semantic segmentation with pixel- level contrastive learning from a class-wise memory bank,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Semi-supervised semantic segmentation with pixel- level contrastive learning from a class-wise memory bank,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:12.699555Z

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Observation 29d0d697-efb7-45da-8a77-42333525e075 · outbound

This paper cites Pixel contrastive-consistent semi-supervised semantic segmentation,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Pixel contrastive-consistent semi-supervised semantic segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:12.495353Z

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Observation 7699582b-7b5a-4732-b185-615fa8ef155f · outbound

This paper cites Coin: Contrastive instance feature mining for outdoor 3d object detection with very limited annotations,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Coin: Contrastive instance feature mining for outdoor 3d object detection with very limited annotations,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:12.340286Z

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Observation cbb11011-4a53-4731-a247-547c146058f6 · outbound

This paper cites Planning-oriented autonomous driving,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Planning-oriented autonomous driving,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:12.176265Z

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Observation 890891cc-81ce-4409-ad49-2c08150b8c5a · outbound

This paper cites End-to-end object detection with transformers,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification End-to-end object detection with transformers,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:11.993234Z

Source-reported events for the cited work

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Observation 816d539b-69fe-4093-9a7e-a8ac1fa75a25 · outbound

This paper cites Mask r-cnn,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Mask r-cnn,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:11.863600Z

Source-reported events for the cited work

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Observation e4f6aed5-2e3d-4895-a9c1-2191e7ca27b2 · outbound

This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T23:50:10.517234Z

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Observation cc1ff792-1057-4032-aab1-7036b67b2696 · outbound

This paper cites Deep residual learning for image recognition,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Deep residual learning for image recognition,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T23:50:10.678848Z

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Observation 724f44c6-9d82-453d-be53-16fbfc3c3a72 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Improved Baselines with Momentum Contrastive Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T23:50:10.778054Z

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Observation e809cbd7-458b-418f-baad-71daca0f8192 · outbound

This paper cites Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining,.

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:50:11.693885Z

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