Paper Citation Record · LEDGER

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2502.10156.

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

pith.paper-citation-record.v1
2502.10156 v4

Coverage vector

measured 53 of 53 reference resolution

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One-hop event checks from named stored sources.

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measured 1 of 1 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: arxiv_reference, observed 2026-05-15T18:26:27.092152Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 6fde1935-b2f3-4e78-a17a-12d0e060abef · outbound

This paper cites Pose prediction for mobile ground robots in uneven terrain based on difference of heightmaps,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Pose prediction for mobile ground robots in uneven terrain based on difference of heightmaps,

Reference 1

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Observation 1d72e92a-2001-4f52-9e48-d89f081af7f8 · outbound

This paper cites An improved kinematic model for skid- steered wheeled platforms,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction An improved kinematic model for skid- steered wheeled platforms,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.619019Z

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Observation b201178d-115b-4fd6-b7ca-5ba416d69e13 · outbound

This paper cites Bi-level trajectory optimization on uneven terrains with differentiable wheel-terrain interaction model,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Bi-level trajectory optimization on uneven terrains with differentiable wheel-terrain interaction model,

Reference 3

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Observation 2b829514-bec4-4db4-be4e-8b1b6b16c686 · outbound

This paper cites Learning visual locomotion with cross-modal supervision,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Learning visual locomotion with cross-modal supervision,

Reference 4

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Observation 6f2c8a22-b2e8-4986-b0a1-ce233a14b599 · outbound

This paper cites An embarrassingly simple approach for visual navigation of forest environments,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction An embarrassingly simple approach for visual navigation of forest environments,

Reference 5

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Observation f92b4910-4e8f-4796-b8b3-d20d9f3b30a1 · outbound

This paper cites Where should I walk? Predicting terrain properties from images via self-supervised learning,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Where should I walk? Predicting terrain properties from images via self-supervised learning,

Reference 6

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Observation eb861faf-e741-478d-82f0-8e156f7622d5 · outbound

This paper cites How does it feel? self-supervised costmap learning for off-road vehicle traversability,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction How does it feel? self-supervised costmap learning for off-road vehicle traversability,

Reference 7

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Observation 974498d7-eef7-446c-83c0-1cff01adb718 · outbound

This paper cites BADGR: An Autonomous Self-Supervised Learning-Based Navigation System.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

Reference 8

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Observation a0a9e0de-0b58-424c-b5e7-da42bd2b1f30 · outbound

This paper cites Rma: Rapid motor adaptation for legged robots,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Rma: Rapid motor adaptation for legged robots,

Reference 9

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Observation 50036771-df16-4207-8e2d-eb3af1a8de00 · outbound

This paper cites Differentiable mpc for end-to-end planning and control,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Differentiable mpc for end-to-end planning and control,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.494994Z

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Observation c582ac48-30f2-49b5-b4bc-1fd059f6e73b · outbound

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

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction End-to-end interpretable neural motion planner,

Reference 11

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Observation ef5eed97-f6d0-4437-aa81-cff926d1cb73 · outbound

This paper cites Proximal Policy Optimization Algorithms.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Proximal Policy Optimization Algorithms

Reference 12

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Observation efc1d543-1105-4b9d-8e6c-86245603a63f · outbound

This paper cites Dellaert and M.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Dellaert and M

Reference 13

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Observation 029a367e-3059-4769-bbad-e6073e04aa5b · outbound

This paper cites Robust maximum-likelihood on-line lidar- to-camera calibration monitoring and refinement,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Robust maximum-likelihood on-line lidar- to-camera calibration monitoring and refinement,

Reference 14

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Observation 6bdeef18-8e62-498c-ad5e-c67a2b1b8061 · outbound

This paper cites Understanding physics- informed neural networks: Techniques, applications, trends, and chal- lenges,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Understanding physics- informed neural networks: Techniques, applications, trends, and chal- lenges,

Reference 15

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Observation ee8206a4-fea6-4ee1-a509-07c05af5b6ea · outbound

This paper cites Warp: A high-performance python framework for gpu simulation and graphics,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Warp: A high-performance python framework for gpu simulation and graphics,

Reference 16

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Observation 2d45b2be-f88d-417a-9890-810c4e539570 · outbound

This paper cites Brax - a differentiable physics engine for large scale rigid body simulation,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Brax - a differentiable physics engine for large scale rigid body simulation,

Reference 17

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Observation 3a4fa074-8db0-42bb-829e-c7891d877a03 · outbound

This paper cites Segment anything,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Segment anything,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.363416Z

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Observation 8d78f37b-232d-45dd-9253-87d169acefc1 · outbound

This paper cites Monoforce: Self-supervised learning of physics-informed model for predicting robot-terrain interaction,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Monoforce: Self-supervised learning of physics-informed model for predicting robot-terrain interaction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.345286Z

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Observation 8e42d1ff-3174-4d2e-bd88-c96b4610fdf1 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Learning quadrupedal locomotion over challenging terrain,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.328039Z

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Observation 61a6ee04-6338-4a73-ac9c-08cea37307af · outbound

This paper cites Learning quadrupedal locomotion on deformable terrain,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Learning quadrupedal locomotion on deformable terrain,

Reference 21

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Observation e9c163a1-0a0e-4257-8108-4f0ca7fad5a8 · outbound

This paper cites Anymal parkour: Learning agile navigation skills with vision and motion planning,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Anymal parkour: Learning agile navigation skills with vision and motion planning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.296442Z

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Observation a4e236cb-29b8-4f09-be36-92fb7d91731f · outbound

This paper cites Evora: A terrain- aware model-predictive planning and control framework for off-road autonomous driving,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Evora: A terrain- aware model-predictive planning and control framework for off-road autonomous driving,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.280062Z

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Observation c2547436-bb63-40a2-b18c-dd4e61394d41 · outbound

This paper cites Self-supervised traversability prediction via video domain adaptation for mobile robot navigation,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Self-supervised traversability prediction via video domain adaptation for mobile robot navigation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.261902Z

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Observation fc0e0df7-05df-4255-ba54-1f3398efbd22 · outbound

This paper cites Anynav: Learning to navigate with friction-aware path planning,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Anynav: Learning to navigate with friction-aware path planning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.245493Z

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Observation 7e98bb21-8a96-4bc9-8941-e96011dd0a45 · outbound

This paper cites Monolayout: Amodal scene layout from a single image,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Monolayout: Amodal scene layout from a single image,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.227835Z

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Observation f65525af-3c99-4bfe-9330-9efcb2573f36 · outbound

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

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 27

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Observation e39d385b-9cee-471c-b1a2-01ab738dd7ac · outbound

This paper cites Footprints and free space from a single color image,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Footprints and free space from a single color image,

Reference 28

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Observation 12f1a45a-5d71-4ebb-aa17-e4c3447b5bcd · outbound

This paper cites FISHING Net: Future Inference of Semantic Heatmaps In Grids.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction FISHING Net: Future Inference of Semantic Heatmaps In Grids

Reference 29

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Observation ee6a1c15-bef8-4592-80e0-04f7b31fc5c4 · outbound

This paper cites RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:14:30.758665Z

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Observation 13038509-770d-44f8-9a03-40eff9f1f580 · outbound

This paper cites Learning repre- sentations by back-propagating errors,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Learning repre- sentations by back-propagating errors,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.168616Z

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Observation 5b41fbb6-4f37-4919-bb7c-497f880031d7 · outbound

This paper cites Long short-term memory,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Long short-term memory,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.152356Z

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Observation 9b18c15c-6aaf-4270-af5f-8af4ef5e88e5 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 33

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Observation 214385f4-20a3-463b-90b0-b869c6a7827e · outbound

This paper cites Motion trajectory prediction based on a cnn-lstm sequential model,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Motion trajectory prediction based on a cnn-lstm sequential model,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.136688Z

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Observation 2225568a-0369-41ef-87f5-2a709e556ed4 · outbound

This paper cites Yoon and K.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Yoon and K

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.120468Z

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Observation 24082ca4-b3e5-41aa-859e-c07817248ebe · outbound

This paper cites Aircraft trajectory prediction using lstm neural network with embedded convolutional layer,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Aircraft trajectory prediction using lstm neural network with embedded convolutional layer,

Reference 36

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Observation 16c0cb32-c063-4216-8512-61036d677e1f · outbound

This paper cites Segment everything everywhere all at once,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Segment everything everywhere all at once,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.085575Z

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Observation 1c6f690b-31ef-4a8c-a594-52cba0727f69 · outbound

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FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Unresolved cited work

Reference 38

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Observation 296dc88f-9b64-420f-8fb7-ab74c7567406 · outbound

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FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Unresolved cited work

Reference 39

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Observation 988cee56-c2ca-4da7-b989-2460804db411 · outbound

This paper cites V ortex studio,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction V ortex studio,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.027424Z

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Observation ffe2d57a-d70b-4b9f-9da3-bac86a91a09f · outbound

This paper cites An integrated framework for high-performance, high-fidelity simulation of ground vehicle-tyre-terrain interaction,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction An integrated framework for high-performance, high-fidelity simulation of ground vehicle-tyre-terrain interaction,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:31.010077Z

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Observation 32e94446-051e-46f8-8285-5c8055f78f6b · outbound

This paper cites agxterrain,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction agxterrain,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.991121Z

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Observation e0d80c89-77f7-407e-b2b1-e86837a28253 · outbound

This paper cites PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction PIAug -- Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:14:30.696293Z

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Observation 3c6c09d0-5793-414a-9dfe-0bb6f8960161 · outbound

This paper cites PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:14:30.669644Z

Source-reported events for the cited work

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Observation 58a5c24a-6db1-4e6a-815e-01c0224f2080 · outbound

This paper cites The contact dynamics method,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction The contact dynamics method,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.973747Z

Source-reported events for the cited work

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Observation 91a7f88f-c4e7-4b65-b9b9-8f857924b9a2 · outbound

This paper cites Pacejka, Tire and Vehicle Dynamics.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Pacejka, Tire and Vehicle Dynamics

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.954823Z

Source-reported events for the cited work

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Observation 5f7452d8-f372-4210-aa0b-10c465178c60 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Pytorch: An imperative style, high-performance deep learning library,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.936709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1644649a-fbcf-41e3-874f-3512d42b91e6 · outbound

This paper cites Learning neural event functions for ordinary differential equations,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Learning neural event functions for ordinary differential equations,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.916106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea2279a4-5fa7-4c78-8ea0-4586935ca215 · outbound

This paper cites Semantic-SAM: Segment and Recognize Anything at Any Granularity.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T19:14:30.282057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb621a3-50f7-4fdc-8ac7-35ac540d7f9a · outbound

This paper cites Rellis-3d dataset: Data, benchmarks and analysis,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Rellis-3d dataset: Data, benchmarks and analysis,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.897968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c018349-5beb-4ea6-aac9-02f3057c67c9 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.879726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aaf873ee-b963-4926-ba97-259bceb6fa28 · outbound

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

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:14:30.861934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce6aa602-3bf7-4dd1-abb7-9519eb3b6314 · outbound

This paper cites Comparing ICP variants on real-world data sets,.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Comparing ICP variants on real-world data sets,

Reference 53

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T19:14:30.841972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 2861dd87-f70a-4ac4-89a5-42330b4060c1 · inbound

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation cites this paper.

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:26:27.095044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.