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Paper Citation Record · LEDGER

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue

As of 16 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2606.10822.

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

pith.paper-citation-record.v1
2606.10822 v3

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

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Outbound references

Observation 193eaf59-d23e-4b5f-bf24-700bf3331e8f · outbound

This paper cites Human detection from unmanned aerial vehicles’ images for search and rescue missions: a state-of-the-art review,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Human detection from unmanned aerial vehicles’ images for search and rescue missions: a state-of-the-art review,

Reference 1

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Observation a4fc02c3-d7da-4aa1-b4fd-ca122d7ecdda · outbound

This paper cites Unmanned aerial vehicles for search and rescue: A survey,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Unmanned aerial vehicles for search and rescue: A survey,

Reference 2

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Observation 1173e3d7-fe0e-4b42-b63a-4ccd7a571ee4 · outbound

This paper cites Deep reinforcement learning for time-critical wilderness search and rescue using drones,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Deep reinforcement learning for time-critical wilderness search and rescue using drones,

Reference 3

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Observation 86a9eaa5-0063-4c2f-b3ab-10417c417e7f · outbound

This paper cites Automatic person detection in search and operations using deep cnn detectors,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Automatic person detection in search and operations using deep cnn detectors,

Reference 4

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Observation 6fad7aaa-f5aa-4af9-ae71-5e5395d2fc8f · outbound

This paper cites Ai-enhanced uav clusters for search and rescue in natural disasters,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Ai-enhanced uav clusters for search and rescue in natural disasters,

Reference 5

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Observation a6814058-1742-45e7-973d-98ea4a717b63 · outbound

This paper cites Explainable deep learn- ing: A field guide for the uninitiated,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Explainable deep learn- ing: A field guide for the uninitiated,

Reference 6

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Observation 7b39a8de-abdd-468c-a788-435ba918c171 · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods

Reference 7

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This paper cites Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring infer- ence uncertainty using bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring infer- ence uncertainty using bayesian neural networks,

Reference 8

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Observation ee12d23d-25b0-435f-8f89-89b8f81377ec · outbound

This paper cites Achieving software- equivalent accuracy for hyperdimensional computing with ferroelectric- based in-memory computing,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Achieving software- equivalent accuracy for hyperdimensional computing with ferroelectric- based in-memory computing,

Reference 9

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Observation 52fed430-85a8-4283-8ea0-edbbe5e9aa5d · outbound

This paper cites A comprehensive model for ferroelectric fet capturing the key behaviors: Scalability, variation, stochasticity, and accumulation,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A comprehensive model for ferroelectric fet capturing the key behaviors: Scalability, variation, stochasticity, and accumulation,

Reference 10

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This paper cites Application- driven design exploration for dense ferroelectric embedded non-volatile memories,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Application- driven design exploration for dense ferroelectric embedded non-volatile memories,

Reference 11

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This paper cites 15.3 a 65nm uncertainty-quantifiable ventricular arrhythmia detection engine with 1.75uj per inference,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue 15.3 a 65nm uncertainty-quantifiable ventricular arrhythmia detection engine with 1.75uj per inference,

Reference 12

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Source-reported events for the cited work

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This paper cites Bayesian neural networks: An introduction and survey,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Bayesian neural networks: An introduction and survey,

Reference 13

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Stochastic variational inference,

Reference 14

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Observation c5989020-eb1e-4e40-b6bd-c01e840515f6 · outbound

This paper cites Variational inference: A review for statisticians,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Variational inference: A review for statisticians,

Reference 15

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Observation 59e2ecab-42c2-4f1e-a86d-1b55f5c613d0 · outbound

This paper cites Hands-on bayesian neural networks—a tutorial for deep learning users,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Hands-on bayesian neural networks—a tutorial for deep learning users,

Reference 16

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Observation 623bde5f-7795-464f-b458-b5b5d33e8126 · outbound

This paper cites Enabling uncertainty es- timation in neural networks through weight perturbation for im- proved alzheimer’s disease classification,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Enabling uncertainty es- timation in neural networks through weight perturbation for im- proved alzheimer’s disease classification,

Reference 17

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Observation 1eb12838-304e-40fa-9237-656385859acd · outbound

This paper cites A 350-pw implantable ventricular arrhythmia detection engine with bayesian uncertainty quantification in 65-nm cmos,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A 350-pw implantable ventricular arrhythmia detection engine with bayesian uncertainty quantification in 65-nm cmos,

Reference 18

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This paper cites Safety veri- fication of nonlinear systems with bayesian neural network controllers,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Safety veri- fication of nonlinear systems with bayesian neural network controllers,

Reference 19

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Observation c44761ef-00ae-41f0-bbf6-f3b22fab3148 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 20

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This paper cites Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,

Reference 21

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This paper cites Multiplierless algorithm for multivariate gaussian random number generation in fpgas,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Multiplierless algorithm for multivariate gaussian random number generation in fpgas,

Reference 22

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A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A hardware gaussian noise generator using the wallace method,

Reference 23

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This paper cites Accelerating bayesian neural networks via algorithmic and hardware optimizations,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Accelerating bayesian neural networks via algorithmic and hardware optimizations,

Reference 24

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This paper cites Bayesian neural networks for identification and classification of radio frequency transmitters using power amplifiers’ nonlinearity signatures,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Bayesian neural networks for identification and classification of radio frequency transmitters using power amplifiers’ nonlinearity signatures,

Reference 25

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Source-reported events for the cited work

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This paper cites An energy-efficient bayesian neural network accelerator with cim and a time-interleaved hadamard digital grng using 22-nm finfet,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue An energy-efficient bayesian neural network accelerator with cim and a time-interleaved hadamard digital grng using 22-nm finfet,

Reference 26

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Source-reported events for the cited work

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

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This paper cites High-efficient memristor-based bayesian convolutional neu- ral networks for out-of-distribution detection by uncertainty estimation,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue High-efficient memristor-based bayesian convolutional neu- ral networks for out-of-distribution detection by uncertainty estimation,

Reference 27

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Source-reported events for the cited work

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This paper cites Bringing uncertainty quantification to the extreme-edge with memristor-based bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Bringing uncertainty quantification to the extreme-edge with memristor-based bayesian neural networks,

Reference 28

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Source-reported events for the cited work

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Observation 0aad759c-0537-487e-b320-eb263753f8a4 · outbound

This paper cites Exploiting oxide based resistive ram variability for bayesian neural network hardware design,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Exploiting oxide based resistive ram variability for bayesian neural network hardware design,

Reference 29

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Source-reported events for the cited work

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

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Observation 9864a6f1-f2a8-4d95-8484-7608baf681f5 · outbound

This paper cites Scalable spintronics-based bayesian neural network for uncertainty estimation,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Scalable spintronics-based bayesian neural network for uncertainty estimation,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:2c1fc2de91acb68f3fdaa8018bfb8ac2347293edc06222b82806362db5f00a18

Observation cbd3a595-2b05-40ce-bd9d-18c0fdda8daf · outbound

This paper cites An algorithm-hardware co-design for bayesian neural network utilizing sot-mram’s inherent stochasticity,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue An algorithm-hardware co-design for bayesian neural network utilizing sot-mram’s inherent stochasticity,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.768457Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:0b8903d27a5b3567272f785519e6325569d981d276ee284e84d2109817accbf9

Observation c3a2d606-5db8-4978-aed0-e1fa8abe7d62 · outbound

This paper cites Towards uncertainty-quantifiable biomedical intelligence: Mixed-signal compute-in-entropy for bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Towards uncertainty-quantifiable biomedical intelligence: Mixed-signal compute-in-entropy for bayesian neural networks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.805003Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:dcddaf259d2edb401d546125805469f625d365664a61ff9d29911490365e9ba5

Observation 89590227-668e-4708-b45c-a66e4be21020 · outbound

This paper cites Impact of read operation on the performance of hfo 2-based ferroelectric fets,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Impact of read operation on the performance of hfo 2-based ferroelectric fets,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.729706Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:fd3e26d461d2bd733ceebf6d96f35ebaf98990a8ac3efdc908e3df6aed22b846

Observation 59279ca8-2cbd-48c9-b135-a36494fe39cb · outbound

This paper cites Investigation of read disturb and bipolar read scheme on multilevel rram-based deep learning inference engine,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Investigation of read disturb and bipolar read scheme on multilevel rram-based deep learning inference engine,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.811193Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:5b5929f588acc198837510e5efced3ada139bf8d3088fc16f576c77e90d1109e

Observation e89f6d48-d4d2-4eff-8790-6fd7f0a3a546 · outbound

This paper cites Fefet multi-bit content-addressable mem- ories for in-memory nearest neighbor search,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Fefet multi-bit content-addressable mem- ories for in-memory nearest neighbor search,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.813262Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:1942e6323847e716496aa40e7cba43f17e7f39fb8e8b8d7bb86e889630bc95f3

Observation 8fd13d45-5855-440c-819c-87b6edbe3f99 · outbound

This paper cites Amorphous indium oxide channel fefets with write voltage of 0.9 v and endurance 10 12 for refresh-free 1t-1fefet embedded memory,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Amorphous indium oxide channel fefets with write voltage of 0.9 v and endurance 10 12 for refresh-free 1t-1fefet embedded memory,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.718603Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:a52977128b24c87b6af1746980eb80dd0bd21dbec7c45e7998a55480b8b7531f

Observation b5462a37-b409-49a8-bc34-9c76c3041dde · outbound

This paper cites Variation- resilient fefet-based in-memory computing leveraging probabilistic deep learning,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Variation- resilient fefet-based in-memory computing leveraging probabilistic deep learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.722339Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:8cb48e14206b4a25b50cc6cd008c9b862bd8e311d6733d97f4c043c55171e8f9

Observation 4ca42a15-77b3-4d94-989b-8fbabf992018 · outbound

This paper cites A fefet based super-low- power ultra-fast embedded nvm technology for 22nm fdsoi and beyond,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A fefet based super-low- power ultra-fast embedded nvm technology for 22nm fdsoi and beyond,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.779861Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:fd8fd23b535916537f68a3e5df17a7258e91eea009ef65e79a4261f0a80e41a9

Observation 4d43e70b-1d25-4ad8-af7c-0a08ea997f41 · outbound

This paper cites Critical role of interlayer in hf 0.5 zr 0.5 o 2 ferroelectric fet nonvolatile memory performance,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Critical role of interlayer in hf 0.5 zr 0.5 o 2 ferroelectric fet nonvolatile memory performance,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.800235Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:5deaf6d98dcc020cc7c32b9543a72075526d76e08c55358609bae3c007198621

Observation f644a3c3-ee06-4fe2-a48d-3daf8cbc30a6 · outbound

This paper cites Understanding the memory window of ferroelectric fet and demonstration of 4.8-v memory window with 20-nm hfo2,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Understanding the memory window of ferroelectric fet and demonstration of 4.8-v memory window with 20-nm hfo2,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.735815Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:b72bb95c5e991ce3531498831a475a21245d67bd4e3ad179d169625c8a416d94

Observation 579578a8-0f3b-43c1-b1f3-10d5e7e10721 · outbound

This paper cites Random number generation based on ferroelectric switching,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Random number generation based on ferroelectric switching,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.777308Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:7c1fc9c2c2344daf64761967ba450464fe25c104e4957019b427bec5c2c5fc74

Observation 2daf9ea9-f198-413b-a4e6-70252c961411 · outbound

This paper cites Switching kinetics in nanoscale hafnium oxide based ferroelectric field-effect transistors,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Switching kinetics in nanoscale hafnium oxide based ferroelectric field-effect transistors,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.770618Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:a2e3d5813afc54bab4d5f000df971e97a91257ae873730cb71f33e59e2ee6f3b

Observation 03fce801-fee0-46b6-a9e0-6911ad922f05 · outbound

This paper cites Spatial and energetic mapping of traps in fefet during endurance process by advanced trap characterization platform,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Spatial and energetic mapping of traps in fefet during endurance process by advanced trap characterization platform,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.750338Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:97a2b8adf33ff5ce4b1d949047907025b7a563e83b385defc4a37d964e77a91b

Observation e0fcf54b-d1db-4bdb-ab66-3bfb46481b8e · outbound

This paper cites Study of endurance performance of sio 2 interfacial layer scaling through o scavenging in si channel n-fefet with si: Hfo 2 ferroelectric layer,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Study of endurance performance of sio 2 interfacial layer scaling through o scavenging in si channel n-fefet with si: Hfo 2 ferroelectric layer,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.745814Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:21f77fa0d434a955c0e47037c9ef2a045ff55360a95338e73469c56f7b55c948

Observation 44ad317a-a069-4353-86d7-005bfa4f55b0 · outbound

This paper cites an unresolved cited work.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-07-04T23:30:12.755828Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:22d98ab66a15375fe5cffdbd2bbd0f563e4781b365de5189eca8893d5fc8fdd3

Observation 735f1a4c-cd0e-40e7-a913-4b8809a0c097 · outbound

This paper cites Mismatch characterization of small metal fringe capacitors,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Mismatch characterization of small metal fringe capacitors,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.741723Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:fa957dd952850542e90ce4a3535c5b1157907b1e5dedd4474709d126868beccc

Observation 079b98bd-df3d-4ea4-8ffd-b2ab1b3cb6d2 · outbound

This paper cites Fecam: A universal compact digital and analog content addressable memory using ferroelectric,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Fecam: A universal compact digital and analog content addressable memory using ferroelectric,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.759891Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:9c22bce5de564108b869fb13b2b799ebc5e14b704ef6f0ca7cc79cf8b0e90c53

Observation b9e8d503-69df-4b65-a668-b100691a7814 · outbound

This paper cites A 28nm fefet-based content- addressable memory for energy-efficient similarity search and few-shot learning,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A 28nm fefet-based content- addressable memory for energy-efficient similarity search and few-shot learning,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.766658Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:c2b006af5ca44cedefd3f77ccc8e8823e0c88a0ee5bc5be5e74a844553f77242

Observation 51531d4d-b7fe-4806-a4c3-1a0f72fbc1bb · outbound

This paper cites Ferroelectric compute-in-memory annealer for combinatorial optimization problems,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Ferroelectric compute-in-memory annealer for combinatorial optimization problems,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.743820Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:af8df90f5032f50a9d5b61264a3dc93dd0ebc5fd3a7d775ad11f0fe1989cf5c4

Observation 07cc0a1b-3003-4a2d-aeed-ad4a938f7f0d · outbound

This paper cites Drain–erase scheme in ferroelectric field-effect transistor–part i: Device characterization,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Drain–erase scheme in ferroelectric field-effect transistor–part i: Device characterization,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.784168Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:0b48dc76a19da8349dc4f57cd96865e420ff5306b040dc332183cfce525edc6f

Observation 6400fadc-61b2-46e9-8d49-8a0041ee1ede · outbound

This paper cites 14.1 a 22nm 104.5 tops/wµ-nmc-δ-imc heterogeneous stt-mram cim macro for noise- tolerant bayesian neural networks,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue 14.1 a 22nm 104.5 tops/wµ-nmc-δ-imc heterogeneous stt-mram cim macro for noise- tolerant bayesian neural networks,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.802123Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:0dccc681bda04dd1db70f0192c73f245bead6fea537b42e6591e41577ab17f87

Observation 3490b492-6b86-4e43-b115-1ab3bd47ed7a · outbound

This paper cites A circuit compatible accurate compact model for ferroelectric-fets,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue A circuit compatible accurate compact model for ferroelectric-fets,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.731594Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:453b52e101e7a3eca3f0d5fbf3564c7395ab557690a8745fb52541b38fab4501

Observation 9e9d0c9b-3387-46b8-bcc2-2dbc2387a15a · outbound

This paper cites Adc performance survey 1997-2022,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Adc performance survey 1997-2022,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.793308Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:5076715eef708d7cc936b1c4ca47e3647f7816db5f9145ed97aa0cabd030854b

Observation 0c83af63-5a8f-429d-a836-64659fa6e336 · outbound

This paper cites Ultralytics yolo26.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Ultralytics yolo26

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.784918Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:36b75cfbcff0ec14ad13ce8f1d02cdc55ebc69187aadd3f6c249376ec53fecc0

Observation 237a7c17-f08e-4769-9b63-a62f9f8fa042 · outbound

This paper cites Characterizing and demystifying the implicit convolution algorithm on commercial matrix-multiplication accelerators,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Characterizing and demystifying the implicit convolution algorithm on commercial matrix-multiplication accelerators,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.725805Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:902ba1da09b2dd30573859d58de6070f3dc6b3bab9d03df016cb1065538d51cc

Observation e3f850bd-87ee-4c9d-9eb2-02ddc74e85d8 · outbound

This paper cites Revisiting the evaluation of uncertainty estimation and its application to explore model complexity- uncertainty trade-off,.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Revisiting the evaluation of uncertainty estimation and its application to explore model complexity- uncertainty trade-off,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.791038Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:65a8a4764ad4b881100284586a83beda63185e15203863a300b447b5b26a933e

Observation 4ca1a514-bfac-4f24-a69c-03abe0916668 · outbound

This paper cites an unresolved cited work.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-07-04T23:30:12.795449Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:e44dea990ea6462c02b2f9018b622643a383ddaa82abfbb68114324b40733d90

Observation 1dd3d303-5f90-4691-8612-b5554e089778 · outbound

This paper cites Michael Niemieris currently a Professor at the University of Notre Dame.

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue Michael Niemieris currently a Professor at the University of Notre Dame

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-04T23:30:12.721585Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-03T23:51:06.677101Z digest=sha256:418420501b8534bdf8af08567fcca4827292634356a3f088015ecceaf00507e8

Pith citing papers

No inbound Pith citation observations are available.