Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction | Paper Citation Record

Observation 931cd387-db25-4c68-8df2-13f5b7165a9b · outbound

This paper cites How to train your maml.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction How to train your maml

Reference 1

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Observation 45d22ac2-31f3-43c7-96fb-fc32b838e4bd · outbound

This paper cites xLSTM: Extended Long Short-Term Memory.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction xLSTM: Extended Long Short-Term Memory

Reference 2

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Observation d337aa56-4ff2-477e-9e9f-8b6bb9d175e6 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Titans: Learning to Memorize at Test Time

Reference 3

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Observation 6d7f3b31-e704-4c92-b4f5-358447bcb455 · outbound

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

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction nuscenes: A multi- modal dataset for autonomous driving

Reference 4

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Observation c2067708-2f58-433e-9e79-ea30887a6fb3 · outbound

This paper cites Monoscene: Monoc- ular 3d semantic scene completion.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Monoscene: Monoc- ular 3d semantic scene completion

Reference 5

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Observation 8a05798e-155d-4be6-908c-97924502f236 · outbound

This paper cites ALOcc: Adaptive Lifting-Based 3D Semantic Occupancy and Cost Volume-Based Flow Predictions.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction ALOcc: Adaptive Lifting-Based 3D Semantic Occupancy and Cost Volume-Based Flow Predictions

Reference 6

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Observation d1a20633-19a3-45c4-a59c-88836f665a56 · outbound

This paper cites Evolu- tionary generalized zero-shot learning.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Evolu- tionary generalized zero-shot learning

Reference 7

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Observation 337294ef-81e4-4e99-81e2-455bc4cbcca3 · outbound

This paper cites Exploring simple siamese rep- resentation learning.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Exploring simple siamese rep- resentation learning

Reference 8

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Observation 50c021ec-fd20-4324-ad28-6a96b59c1f98 · outbound

This paper cites 3d sketch-aware semantic scene comple- tion via semi-supervised structure prior.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction 3d sketch-aware semantic scene comple- tion via semi-supervised structure prior

Reference 9

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Observation dcfe3d56-29b7-4744-ace9-3e2af15bc9e3 · outbound

This paper cites Learning phrase representations using rnn encoder-decoder for statistical machine translation.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Learning phrase representations using rnn encoder-decoder for statistical machine translation

Reference 10

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Observation ba92d0a3-d3c9-4166-8415-9b1e6533decf · outbound

This paper cites Deformable convolutional networks.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Deformable convolutional networks

Reference 11

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Observation 361552ec-eeb2-42f2-86dd-f53a44d21e8d · outbound

This paper cites Using occupancy grids for mobile robot per- ception and navigation.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Using occupancy grids for mobile robot per- ception and navigation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.917000Z

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Observation 6bb4b741-c5fa-435a-b267-48f22b60bb61 · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Model- agnostic meta-learning for fast adaptation of deep networks

Reference 13

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Observation fe00b240-2c4e-451c-b897-fffa579520a6 · outbound

This paper cites GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting

Reference 14

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Observation 47156651-7119-4ddc-b6b7-53c4e980efaa · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Unsupervised domain adaptation by backpropagation

Reference 15

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Observation f0e035de-4180-46c0-8c0b-9f9e5a580551 · outbound

This paper cites Learning fast approxima- tions of sparse coding.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Learning fast approxima- tions of sparse coding

Reference 16

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Observation f96b7a26-eb51-4fc3-8bbc-ee41b368032a · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 17

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Observation 8b083514-2162-4100-9370-4799c2618f8e · outbound

This paper cites Exploring recurrent long-term temporal fusion 10 for multi-view 3d perception.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Exploring recurrent long-term temporal fusion 10 for multi-view 3d perception

Reference 18

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Observation 35a7603a-972b-4197-b744-c993717d0779 · outbound

This paper cites Deep residual learning for image recognition.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Deep residual learning for image recognition

Reference 19

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Observation ef4e1572-db98-4d5a-918b-12cc99d7354b · outbound

This paper cites Fas- tocc: Accelerating 3d occupancy prediction by fusing the 2d bird’s-eye view and perspective view.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Fas- tocc: Accelerating 3d occupancy prediction by fusing the 2d bird’s-eye view and perspective view

Reference 20

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Observation 2eea030a-dcfd-4d70-838c-7a3949f4a7e5 · outbound

This paper cites St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 21

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Observation 3eeb81d1-6cc1-42b9-b2b8-fc4b0ec6ec01 · outbound

This paper cites Planning-oriented autonomous driving.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Planning-oriented autonomous driving

Reference 22

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Observation 3e8ed41d-2103-4be9-8ce4-5215e8dcd661 · outbound

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

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Reference 23

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Observation d5d8fef6-c711-4bd7-acc8-63a341ed45e3 · outbound

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

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Reference 24

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Observation f2e60233-526a-4cdb-920f-f70e74a8ff13 · outbound

This paper cites Tri-perspective view for vision-based 3d semantic occupancy prediction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Tri-perspective view for vision-based 3d semantic occupancy prediction

Reference 25

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Observation 8a5a412e-a079-4448-af33-f2bec9d685cf · outbound

This paper cites Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.791318Z

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Observation 20479c53-f9d7-4262-9637-0edbb2603fcd · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Vad: Vectorized scene representation for efficient autonomous driving

Reference 27

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Observation 09482b11-d760-4561-a15b-d009e75d4769 · outbound

This paper cites Anisotropic convolutional networks for 3d semantic scene completion.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Anisotropic convolutional networks for 3d semantic scene completion

Reference 28

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Observation c721f663-d4fd-4690-ae00-5908e3e69445 · outbound

This paper cites Viewformer: Exploring spatiotem- poral modeling for multi-view 3d occupancy perception via view-guided transformers.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Viewformer: Exploring spatiotem- poral modeling for multi-view 3d occupancy perception via view-guided transformers

Reference 29

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Observation 6ff548d3-fe21-4b83-963e-1d4a1fd4d386 · outbound

This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 30

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Observation ed1bb084-54f6-456c-a5f0-81411ff5c4f6 · outbound

This paper cites FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation

Reference 31

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Observation 2dc9385c-1d42-4393-9061-8b93ca95f003 · outbound

This paper cites Sparse4D v2: Recurrent Temporal Fusion with Sparse Model.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Sparse4D v2: Recurrent Temporal Fusion with Sparse Model

Reference 32

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Observation 6edf793d-d176-45b9-968a-0455f1751ecf · outbound

This paper cites Fully sparse 3d occupancy prediction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Fully sparse 3d occupancy prediction

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.739748Z

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Observation 4d2e942d-08bc-43a5-980b-939aa1076048 · outbound

This paper cites Surroundsdf: Implicit 3d scene understanding based on signed distance field.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Surroundsdf: Implicit 3d scene understanding based on signed distance field

Reference 34

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Observation 429b9a52-3ff7-405d-a17e-32162bf815bc · outbound

This paper cites PETR: Position Embedding Transformation for Multi-View 3D Object Detection.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction PETR: Position Embedding Transformation for Multi-View 3D Object Detection

Reference 35

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Observation f6d785f7-ba60-49df-a9ff-b2eabc3287d8 · outbound

This paper cites PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Reference 36

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Observation 31852c35-03a6-4a52-8167-45191c89c13d · outbound

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

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Swin transformer: Hierarchical vision transformer using shifted windows

Reference 37

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Observation 3cc8d283-acee-4ce1-a5b7-3c6593d631bc · outbound

This paper cites OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries

Reference 38

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Observation bb36c3d2-bf4d-47b9-ab3c-9a9a45f48ed5 · outbound

This paper cites COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction

Reference 39

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Observation ebb7881f-22c4-4a8d-b043-deb58c1d78a0 · outbound

This paper cites Co-occ: Coupling explicit feature fusion with volume rendering regularization for multi-modal 3d semantic occupancy prediction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Co-occ: Coupling explicit feature fusion with volume rendering regularization for multi-modal 3d semantic occupancy prediction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.706104Z

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Observation a35bcf04-f3cf-4f65-9aae-d0efb05e1c86 · outbound

This paper cites UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:16.975249Z

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Observation 718340bf-58fd-4d74-a09a-b1e45bda634b · outbound

This paper cites Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.693668Z

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Observation 9a3deb7c-23c4-469f-bc37-3751dfa3d5b5 · outbound

This paper cites Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:16.983274Z

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Observation 257f5e99-64ff-48d7-994e-df0e4da0d66d · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction RWKV: Reinventing RNNs for the Transformer Era

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:16.987760Z

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Observation 339307ed-9120-4004-a86a-ccc3f97d9fab · outbound

This paper cites Lift, splat, shoot: Encod- ing images from arbitrary camera rigs by implicitly unpro- jecting to 3d.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Lift, splat, shoot: Encod- ing images from arbitrary camera rigs by implicitly unpro- jecting to 3d

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.681029Z

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Observation 500867e2-e986-4d17-a3be-381a2b3f0260 · outbound

This paper cites Recurrent Inference Machines for Solving Inverse Problems.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Recurrent Inference Machines for Solving Inverse Problems

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:16.995603Z

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Observation a253fcf2-e869-42d7-905d-144b4dffd3bd · outbound

This paper cites The Devil in Linear Transformer.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction The Devil in Linear Transformer

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:16.999953Z

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Observation b4f53308-0da9-4cd8-8054-b89f3632d6ff · outbound

This paper cites Occupancy as set of points.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Occupancy as set of points

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.667961Z

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Observation 17069377-fa3b-447d-9835-e93d02ca51d8 · outbound

This paper cites Test-time training with self- supervision for generalization under distribution shifts.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Test-time training with self- supervision for generalization under distribution shifts

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.656363Z

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Observation acbadd4a-96fa-4dfd-b2f8-d9c5e46105c8 · outbound

This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Learning to (Learn at Test Time): RNNs with Expressive Hidden States

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.012078Z

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Observation 2d1b1ba7-08e4-4ed6-ac34-2818135180fc · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.644074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c3188aa-772e-4ef7-9f23-b88aec44b967 · outbound

This paper cites Scene as occupancy.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Scene as occupancy

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.632297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c622b85-5891-43be-b5ac-8e21a0138fc9 · outbound

This paper cites Attention is all you need.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Attention is all you need

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.619146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ace54ace-cd47-4173-a913-3f37462ce980 · outbound

This paper cites Occgen: Gener- ative multi-modal 3d occupancy prediction for autonomous driving.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Occgen: Gener- ative multi-modal 3d occupancy prediction for autonomous driving

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.607237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a16755d4-6a50-4be2-b72d-a618b93a5301 · outbound

This paper cites OPUS: Occupancy Prediction Using a Sparse Set.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction OPUS: Occupancy Prediction Using a Sparse Set

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.032391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f6cea1-b305-4bbd-866f-84e5afe206d1 · outbound

This paper cites OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.036542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e941eba6-03ba-4b13-b916-c63a655c1114 · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.594067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f963545-e9ad-4aa4-bd1d-bdb53004cc05 · outbound

This paper cites OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.044622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5eadc4a-d0c7-41dc-89bd-a1a01c813e7c · outbound

This paper cites Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.580277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 252abab8-5cf1-4dab-ab2d-70e03a4cbfee · outbound

This paper cites Occllama: An occupancy-language-action generative world model for au- tonomous driving, 2024.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Occllama: An occupancy-language-action generative world model for au- tonomous driving, 2024

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.568160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 445658ed-b424-446c-81eb-7eec1802d908 · outbound

This paper cites SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.057510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af871754-4427-43c1-b930-94ccec766fb6 · outbound

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

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.061700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e65e8d-ea53-4511-bca9-a3783dcc3d25 · outbound

This paper cites FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.065738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e05bd9-8abe-431c-bcb7-1cdcf9552f61 · outbound

This paper cites Panoptic-FlashOcc: An Efficient Baseline to Marry Semantic Occupancy with Panoptic via Instance Center.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Panoptic-FlashOcc: An Efficient Baseline to Marry Semantic Occupancy with Panoptic via Instance Center

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:24:17.183526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f4a4541-4e44-430a-8483-f667a72ad03c · outbound

This paper cites Streammapnet: Streaming mapping network for vectorized online hd map construction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Streammapnet: Streaming mapping network for vectorized online hd map construction

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.546409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 621ebcd5-f25b-4435-ad20-e52da97d92e1 · outbound

This paper cites OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.077919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee5fa24-e4f2-4b08-b35b-4315fb6d151a · outbound

This paper cites Occloff: Learning op- timized feature fusion for 3d occupancy prediction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Occloff: Learning op- timized feature fusion for 3d occupancy prediction

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.534151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f719c8a5-e397-4ec0-bacc-c6e4c4a3d72b · outbound

This paper cites Vision-based 3D occupancy prediction in autonomous driving: a review and outlook.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T12:24:17.085838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab30437-6fef-47cc-819e-701017a70666 · outbound

This paper cites Conditional random fields as 12 recurrent neural networks.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Conditional random fields as 12 recurrent neural networks

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.521622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d41513a-c240-468b-93b4-2468242ad5ae · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.509720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a29d829c-1477-4fe0-a81e-fa4496ce219a · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction Deformable detr: Deformable transformers for end-to-end object detection

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:24:17.497438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29cc4980-56ef-4589-a10b-4adb39a2ac7a · outbound

This paper cites GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction.

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction

Reference 72

Resolution: malformed identifier; no resolver link, observed 2026-08-16T12:24:17.102743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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