Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges | Paper Citation Record

Observation ce8dda73-f966-4151-a7a0-de3afa99887f · outbound

This paper cites Lidar–a new (self-driving) vehicle for introducing optics to broader engineering and non-engineering audiences,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Lidar–a new (self-driving) vehicle for introducing optics to broader engineering and non-engineering audiences,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.187043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9b7043d-8658-4459-a335-2a02e4bc53b6 · outbound

This paper cites Long-range, high-resolution camera optical design for assisted and autonomous driving,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Long-range, high-resolution camera optical design for assisted and autonomous driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.176593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d5e0743-088b-48f0-b877-10dfc69a804d · outbound

This paper cites Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:29:52.295609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a23b9589-1636-4914-93de-0ea4529914fd · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Second: Sparsely embedded convolutional detection,

Reference 4

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Observation f30d6f7d-9d57-4e95-b02e-01376a211646 · outbound

This paper cites Occupancy-mae: Self-supervised pre-training large-scale lidar point clouds with masked occupancy autoencoders,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Occupancy-mae: Self-supervised pre-training large-scale lidar point clouds with masked occupancy autoencoders,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.156734Z

Source-reported events for the cited work

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Observation ca0541b3-39f3-485b-a456-a89846375d17 · outbound

This paper cites Also: Auto- motive lidar self-supervision by occupancy estimation,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Also: Auto- motive lidar self-supervision by occupancy estimation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.145820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84034a3d-6e24-4ad6-be99-85b90febcd77 · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Pv-rcnn: Point-voxel feature set abstraction for 3d object detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.134421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a180ebbd-870a-4713-8379-7540b5d06ec5 · outbound

This paper cites Spconv: Spatially sparse convolution library,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Spconv: Spatially sparse convolution library,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.123339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d51da40a-8219-4727-8b58-2c3489d4c45e · outbound

This paper cites Mv-jar: Masked voxel jigsaw and reconstruction for lidar-based self-supervised pre-training,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Mv-jar: Masked voxel jigsaw and reconstruction for lidar-based self-supervised pre-training,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.112238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 29a29432-eae4-40e7-badf-5685aaabd6ae · outbound

This paper cites Masked autoencoder for self-supervised pre-training on lidar point clouds,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Masked autoencoder for self-supervised pre-training on lidar point clouds,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.101310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13d81752-a3ee-4a95-a889-3a6aeb9287f9 · outbound

This paper cites Mc 2ram: Markov chain monte carlo sampling in sram for fast bayesian inference,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Mc 2ram: Markov chain monte carlo sampling in sram for fast bayesian inference,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.090231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3b1df737-9536-4b30-9cde-4bc046ba065d · outbound

This paper cites Ultralow-power localization of insect-scale drones: Interplay of probabilistic filtering and compute-in-memory,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Ultralow-power localization of insect-scale drones: Interplay of probabilistic filtering and compute-in-memory,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.079131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b8ffb4f-1dea-42c2-84cb-09f423f25d8c · outbound

This paper cites Mf- net: Compute-in-memory sram for multibit precision inference using memory-immersed data conversion and multiplication-free operators,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Mf- net: Compute-in-memory sram for multibit precision inference using memory-immersed data conversion and multiplication-free operators,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.068560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 60624dbe-7f18-4524-af0e-94d35d52c832 · outbound

This paper cites Low power unsupervised anomaly detection by nonparametric modeling of sensor statistics,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Low power unsupervised anomaly detection by nonparametric modeling of sensor statistics,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.057610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3dad64d4-7ac7-4731-8fd4-b19be55840b8 · outbound

This paper cites Ultra-low power electronics with si/ge tunnel fet,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Ultra-low power electronics with si/ge tunnel fet,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.046630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 351a7037-7f2d-4c4d-873b-0ce5fbb5ea37 · outbound

This paper cites Two- dimensional materials for bio-realistic neuronal computing networks,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Two- dimensional materials for bio-realistic neuronal computing networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.036916Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a1887a5-4687-4ded-a0ad-a6e693feed8e · outbound

This paper cites Roadmap for unconventional computing with nanotechnology,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Roadmap for unconventional computing with nanotechnology,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.026886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba55dac8-da18-401b-9529-f383150037e1 · outbound

This paper cites RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:29:52.278358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47c6ab0f-e9ce-4be2-9e3d-cfff11f51c36 · outbound

This paper cites A methodology for understanding the origins of false negatives in dnn based object detectors,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges A methodology for understanding the origins of false negatives in dnn based object detectors,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.017481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0ea899e-9305-4232-915d-5071d69ce4e5 · outbound

This paper cites Cognitive sensing for energy-efficient edge intelli- gence,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Cognitive sensing for energy-efficient edge intelli- gence,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:53.006346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a15b51f4-94af-4849-a058-b0a1824d3795 · outbound

This paper cites Task-driven rgb-lidar fusion for object tracking in resource-efficient autonomous system,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Task-driven rgb-lidar fusion for object tracking in resource-efficient autonomous system,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.885282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 37c9c9c6-87cf-4af4-9aa4-212fca23d3b6 · outbound

This paper cites Radar guided dynamic visual attention for resource-efficient rgb object detection,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Radar guided dynamic visual attention for resource-efficient rgb object detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.873077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8fa1467-a3c0-4a38-8edd-9a5a08d6ec81 · outbound

This paper cites STAGE net: Spatio-temporal attention-based graph encoding for learning multi-agent interactions in the presence of hidden agents,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges STAGE net: Spatio-temporal attention-based graph encoding for learning multi-agent interactions in the presence of hidden agents,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.860806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e4ba80d4-4414-42f4-a77f-1cf270b119f3 · outbound

This paper cites STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.847984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68d4a4cc-f3dc-4728-93e2-5abeec6b783e · outbound

This paper cites AdaCred: Adaptive Causal Decision Transformers with Feature Crediting.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges AdaCred: Adaptive Causal Decision Transformers with Feature Crediting

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:29:52.262160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20b58762-8230-4041-9853-975cc955503a · outbound

This paper cites Curl: Contrastive unsupervised representations for reinforcement learning,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Curl: Contrastive unsupervised representations for reinforcement learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.835948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 560ffb0f-78d3-48c2-b330-f24dd150677e · outbound

This paper cites Task-oriented koopman-based control with contrastive encoder,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Task-oriented koopman-based control with contrastive encoder,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.823647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49bd37c9-c506-4fcc-9a02-e8309701dafc · outbound

This paper cites Attention is all you need,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Attention is all you need,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:51.946921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a839af-1b88-4053-ba09-60c0b3ae1575 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Decision transformer: Reinforcement learning via sequence modeling,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:51.950438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d87e116-b539-4ac2-8559-bc7efca2f72f · outbound

This paper cites Dream to control: Learning behaviors by latent imagination,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Dream to control: Learning behaviors by latent imagination,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.798080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50eb9e95-6aa5-4aec-98c9-4c4246205e70 · outbound

This paper cites Weather influence and classification with automotive lidar sensors,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Weather influence and classification with automotive lidar sensors,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.786523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f280032-70ef-4e2d-9dd8-386d12653a75 · outbound

This paper cites Event- based vision: A survey,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Event- based vision: A survey,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.774555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57ebe6b5-a85a-4722-b9a1-64ad15e51b6d · outbound

This paper cites Solid or not solid: Vision for radar target validation,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Solid or not solid: Vision for radar target validation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.762991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c16a4f7-dab9-4e6f-b0a7-87fafe35a8ba · outbound

This paper cites STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:29:52.244728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 353c9e6e-d94d-45db-ba0c-900e8ba83eb2 · outbound

This paper cites Likelihood regret: An out-of-distribution detection score for variational auto-encoder,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Likelihood regret: An out-of-distribution detection score for variational auto-encoder,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.750781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e4563dc7-6ef9-4992-b4a4-4df439b7e011 · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Stochastic first-and zeroth-order methods for nonconvex stochastic programming,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:51.978841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a668fb-9ef9-406b-b505-d296dd93b111 · outbound

This paper cites Generalized simultaneous perturbation stochastic approximation with reduced estimator bias,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Generalized simultaneous perturbation stochastic approximation with reduced estimator bias,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.731411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dfc87fc1-fe13-4b14-9383-a04eeb2b3d9f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges LoRA: Low-Rank Adaptation of Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:51.986636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ab4083d-8f7a-4e53-8862-74eda6127124 · outbound

This paper cites Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precision

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:29:52.215842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f1da023-1e44-4d7c-9467-80185f5773a7 · outbound

This paper cites Robo3D: Towards Robust and Reliable 3D Perception against Corruptions.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:29:52.197559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca0db415-99c8-48e9-a0b0-cc41f844fae1 · outbound

This paper cites Pedestrian protection systems: Issues, survey, and challenges,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Pedestrian protection systems: Issues, survey, and challenges,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.720858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7dafeb49-9460-4f85-ad00-cbf6b5a8dfe2 · outbound

This paper cites Mitigation of crosstalk effects in multi-lidar configurations,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Mitigation of crosstalk effects in multi-lidar configurations,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.711055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51246713-2746-441b-8b12-92426befd9b2 · outbound

This paper cites Robustness evaluation of electrical characteristics of sub-22 nm finfets affected by physical variability,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Robustness evaluation of electrical characteristics of sub-22 nm finfets affected by physical variability,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.700377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6f5e506-e38d-4c65-8871-965c0362a50d · outbound

This paper cites Mutual information-calibrated conformal feature fusion for uncertainty- aware multimodal 3d object detection at the edge,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Mutual information-calibrated conformal feature fusion for uncertainty- aware multimodal 3d object detection at the edge,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.688645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 266f4c1b-84b0-4354-bd14-9cb92fb760b2 · outbound

This paper cites Lightweight, uncertainty-aware conformalized visual odometry,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Lightweight, uncertainty-aware conformalized visual odometry,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.676069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 347ed60e-d3aa-4fff-be00-2b5fe58628b1 · outbound

This paper cites Navigating the unknown: Uncertainty-aware compute- in-memory autonomy of edge robotics,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Navigating the unknown: Uncertainty-aware compute- in-memory autonomy of edge robotics,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.664383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ab14b078-9b93-4772-be96-4f5a58a8ebc9 · outbound

This paper cites Conformalized multimodal uncertainty regression and reasoning,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Conformalized multimodal uncertainty regression and reasoning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.652257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 229cef37-ab1a-451b-ae89-c5e1c53e785d · outbound

This paper cites EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:52.024246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd1de49-7c61-469b-a406-7de079343d3a · outbound

This paper cites Adaptive-spikenet: event-based optical flow estimation using spiking neural networks with learnable neuronal dynam- ics,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Adaptive-spikenet: event-based optical flow estimation using spiking neural networks with learnable neuronal dynam- ics,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.640379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5846e71-823d-44df-b0a7-1059251ed705 · outbound

This paper cites Spike-flownet: event-based optical flow estimation with energy-efficient hybrid neural networks,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Spike-flownet: event-based optical flow estimation with energy-efficient hybrid neural networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.627682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation afcac932-6845-4a22-a0ad-b5418acaf25e · outbound

This paper cites Fusion-flownet: Energy-efficient optical flow estimation using sensor fusion and deep fused spiking-analog network architectures,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Fusion-flownet: Energy-efficient optical flow estimation using sensor fusion and deep fused spiking-analog network architectures,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.615063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea120c8b-09c2-43c4-b1f0-eed9e476f2b5 · outbound

This paper cites Kinematics measurement and power requirements of fruitflies at various flight speeds,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Kinematics measurement and power requirements of fruitflies at various flight speeds,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.603434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac5ed7be-8bed-437e-ac8b-e3343f3e46a3 · outbound

This paper cites Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.590805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52c8e939-0fd5-46a5-b39d-b58f8747ece4 · outbound

This paper cites Random number generators and spiking neurons from metal oxide/small molecules heterojunction n-shape switching transistors,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Random number generators and spiking neurons from metal oxide/small molecules heterojunction n-shape switching transistors,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.578350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation afabfe31-f928-40d8-8ded-bacdb26be35d · outbound

This paper cites A 128 × 128 120 db 15 µs latency asynchronous temporal contrast vision sensor,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges A 128 × 128 120 db 15 µs latency asynchronous temporal contrast vision sensor,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.565849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c7474e5-47d1-4970-a83a-e4b9e4e12952 · outbound

This paper cites A 240 ×180 130 db 3 µs latency global shutter spatiotemporal vision sensor,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges A 240 ×180 130 db 3 µs latency global shutter spatiotemporal vision sensor,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.554117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5265a2ac-be56-45f1-aad9-920eec925279 · outbound

This paper cites Data-driven feature tracking for event cameras,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Data-driven feature tracking for event cameras,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.542841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be32ac3f-a79f-4f67-b446-b48f4aafb113 · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Networks of spiking neurons: the third generation of neural network models,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:52.062783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe0ec809-0180-462e-84e2-e4cc57af46e0 · outbound

This paper cites Towards spike-based machine intel- ligence with neuromorphic computing,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Towards spike-based machine intel- ligence with neuromorphic computing,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.525072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f63c9b88-d704-4a7a-916c-ffabe536e659 · outbound

This paper cites Spiking neural networks with improved inherent recurrence dynamics for sequential learning,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Spiking neural networks with improved inherent recurrence dynamics for sequential learning,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:52.070170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e81732a0-9e48-4abf-9dec-8df980417bbb · outbound

This paper cites Enabling deep spiking neural networks with hybrid conversion and spike timing dependent backpropagation,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Enabling deep spiking neural networks with hybrid conversion and spike timing dependent backpropagation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.506141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 304e5e4e-c16c-4188-9fef-acb3b0b2179d · outbound

This paper cites Surrogate gradient learning in spiking neural networks,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Surrogate gradient learning in spiking neural networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.494376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71dd2429-5096-4286-8e1f-83987235de89 · outbound

This paper cites Spiking deep convolutional neural networks for energy-efficient object recognition,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Spiking deep convolutional neural networks for energy-efficient object recognition,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.482157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91ac46f9-027a-4906-95e5-b5276668a968 · outbound

This paper cites Diet-snn: A low-latency spiking neural network with direct input encoding and leakage and threshold optimization,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Diet-snn: A low-latency spiking neural network with direct input encoding and leakage and threshold optimization,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.469916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 906af274-ff6f-43b5-b6d8-a3fc5a3e06b1 · outbound

This paper cites Enabling spike-based backpropagation for training deep neural network architec- tures,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Enabling spike-based backpropagation for training deep neural network architec- tures,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.457749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b10b9fd1-0397-42b3-a6a2-a63c4ca3e92e · outbound

This paper cites The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges The multivehicle stereo event camera dataset: An event camera dataset for 3d perception,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.445097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dea9f9fb-8ce1-4824-8177-ac6c0e48c872 · outbound

This paper cites Dotie-detecting objects through temporal isolation of events using a spiking architecture,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Dotie-detecting objects through temporal isolation of events using a spiking architecture,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.431275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00501b23-60a4-43e0-bf5d-9dc95070383c · outbound

This paper cites Neuro-cim: A 310.4 tops/w neuromorphic computing-in-memory processor with low wl/bl activity and digital-analog mixed-mode neuron firing,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Neuro-cim: A 310.4 tops/w neuromorphic computing-in-memory processor with low wl/bl activity and digital-analog mixed-mode neuron firing,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.417932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf4fecfb-b03e-4efd-93e1-f61c05840b85 · outbound

This paper cites Impulse: A 65-nm digital compute-in-memory macro with fused weights and membrane potential for spike-based sequential learning tasks,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Impulse: A 65-nm digital compute-in-memory macro with fused weights and membrane potential for spike-based sequential learning tasks,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.404202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f3a0fa4-c825-41fb-a110-d21490ab9d77 · outbound

This paper cites Resparc: A reconfigurable and energy-efficient architecture with memristive crossbars for deep spiking neural networks,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Resparc: A reconfigurable and energy-efficient architecture with memristive crossbars for deep spiking neural networks,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.391261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f26e70f3-bace-44c3-8512-b879f06b83ad · outbound

This paper cites Highly parallel and ultra-low- power probabilistic reasoning with programmable gaussian-like memory transistors,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Highly parallel and ultra-low- power probabilistic reasoning with programmable gaussian-like memory transistors,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.379901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d22efe47-e6e2-46df-8a5c-30bf124a7afb · outbound

This paper cites Adc/dac-free analog acceleration of deep neural networks with frequency transformation,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Adc/dac-free analog acceleration of deep neural networks with frequency transformation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.369562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da167302-bafd-462c-a046-9aef9c8b13b3 · outbound

This paper cites Federated learning for healthcare: Systematic review and architecture proposal,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Federated learning for healthcare: Systematic review and architecture proposal,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:52.121642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f824f5-cd0f-4afe-9a86-0b130ebb641f · outbound

This paper cites Federated learning for internet of things: Recent advances, taxonomy, and open challenges,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Federated learning for internet of things: Recent advances, taxonomy, and open challenges,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.352621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59966fae-6aa3-4f45-82ba-cefef3e5e695 · outbound

This paper cites Federated learning in robotic and autonomous systems,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Federated learning in robotic and autonomous systems,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.341006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7901592e-b06c-4c95-8c10-4b356b86aa6c · outbound

This paper cites Divide-and-conquer the nas puzzle in resource-constrained federated learning systems,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Divide-and-conquer the nas puzzle in resource-constrained federated learning systems,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.328897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2a5e40f-6ad7-4a72-85a0-21c4be72bbb3 · outbound

This paper cites Halo- fl: Hardware-aware low-precision federated learning,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Halo- fl: Hardware-aware low-precision federated learning,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:29:52.316563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 007d94f1-e9d9-4103-b323-e7ec125e42a2 · outbound

This paper cites Fast inference from transform- ers via speculative decoding,.

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges Fast inference from transform- ers via speculative decoding,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T11:29:52.143195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers