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Paper Citation Record · LEDGER

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.05445.

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

pith.paper-citation-record.v1
2607.05445 v1

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measured 42 of 42 reference resolution

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measured 42 of 42 standing notices

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measured 0 of 0 inbound itemization

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42 of 42 outbound references displayed

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Outbound references

Observation f4eaf6dc-714b-47ea-8842-7b0e20c8a5cd · outbound

This paper cites A low power, fully event-based gesture recognition system,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision A low power, fully event-based gesture recognition system,

Reference 1

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Observation f4962bf2-39ba-412f-8bc8-331342f7a180 · outbound

This paper cites Reckon: A 28nm sub-mm2 task-agnostic spiking recurrent neural network processor enabling on-chip learning over second-long timescales,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Reckon: A 28nm sub-mm2 task-agnostic spiking recurrent neural network processor enabling on-chip learning over second-long timescales,

Reference 2

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Observation 1e3cb19d-44b8-41ed-a3ef-39c9321cba14 · outbound

This paper cites 22.6 anp-i: A 28nm 1.5 pj/sop asynchronous spiking neural network processor enabling sub-o. 1µj/sample on-chip learning for edge-ai applications,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision 22.6 anp-i: A 28nm 1.5 pj/sop asynchronous spiking neural network processor enabling sub-o. 1µj/sample on-chip learning for edge-ai applications,

Reference 3

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Observation 296db7e8-deff-43cc-8002-29b1f19a4715 · outbound

This paper cites A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition,

Reference 4

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Observation 013cf24a-b8f7-4a3c-963f-e12729b162eb · outbound

This paper cites Edge assisted real-time object detec- tion for mobile augmented reality,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Edge assisted real-time object detec- tion for mobile augmented reality,

Reference 5

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Observation dfd52d2f-cf8d-4e0e-8afd-6aa7c67460b9 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 6

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Observation e1615b3e-06d1-47b4-b577-73997e5cb8e6 · outbound

This paper cites Unpu: An energy-efficient deep neural network accelerator with fully variable weight bit precision,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Unpu: An energy-efficient deep neural network accelerator with fully variable weight bit precision,

Reference 7

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Observation d67d7fe3-0df6-4ba8-acbf-4d3028dabbdb · outbound

This paper cites Quest 3 power usage tests and approximate battery life,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Quest 3 power usage tests and approximate battery life,

Reference 8

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Observation 77214133-5389-4c87-b68b-a29235260618 · outbound

This paper cites Apple vision pro – technical specifications,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Apple vision pro – technical specifications,

Reference 9

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Observation f03cac9d-4d64-4757-b82d-5218d111741e · outbound

This paper cites Measuring and understanding motion-to-photon latency in immersive virtual reality systems,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Measuring and understanding motion-to-photon latency in immersive virtual reality systems,

Reference 10

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Observation c0eecf51-4cd9-4c44-a301-f4ae25db3fa9 · outbound

This paper cites Visual Wake Words Dataset.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Visual Wake Words Dataset

Reference 11

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Observation 629458d3-67c6-4591-b5f6-2ebcd61686d9 · outbound

This paper cites A 40nm 0.05-1.4 uj/inference sample-wise-adaptive spiking neural network processor with dynamic neuron-pruning and unstructured-model-aware architecture,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision A 40nm 0.05-1.4 uj/inference sample-wise-adaptive spiking neural network processor with dynamic neuron-pruning and unstructured-model-aware architecture,

Reference 12

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Observation 03c4a930-b569-48df-bf03-547369cf9174 · outbound

This paper cites Neuc-cim: A 1.3 pj/sop neuromorphic charge- domain compute-in-memory macro for spiking neural network,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Neuc-cim: A 1.3 pj/sop neuromorphic charge- domain compute-in-memory macro for spiking neural network,

Reference 13

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Observation 91a82fbf-c23e-41b5-b84a-d91fffb35857 · outbound

This paper cites DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 14

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Observation 04f76356-cf20-4b39-8298-2eda8a71c1cc · outbound

This paper cites Laconic deep learning inference acceleration,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Laconic deep learning inference acceleration,

Reference 15

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Observation 9e5d4fa9-c36a-4639-b5e3-ac5670023cb2 · outbound

This paper cites Bit-pragmatic deep neural network computing,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Bit-pragmatic deep neural network computing,

Reference 16

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Observation 9937e783-f054-4494-9822-5c2bf044e111 · outbound

This paper cites Stripes: Bit-serial deep neural network computing,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Stripes: Bit-serial deep neural network computing,

Reference 17

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Observation 3480aaf3-2719-47f5-9bb5-b950ae341bed · outbound

This paper cites Predictivenet: An energy- efficient convolutional neural network via zero prediction,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Predictivenet: An energy- efficient convolutional neural network via zero prediction,

Reference 18

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Observation 372ce52f-1fcb-4b17-a9bb-acda33a8fe32 · outbound

This paper cites Prediction based execution on deep neural networks,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Prediction based execution on deep neural networks,

Reference 19

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Observation 580e3f15-296a-4660-b8e0-75ce1c6babbd · outbound

This paper cites Snapea: Predictive early activation for reducing compu- tation in deep convolutional neural networks,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Snapea: Predictive early activation for reducing compu- tation in deep convolutional neural networks,

Reference 20

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Observation 9a10865e-e802-4a6a-b423-998aa21fd810 · outbound

This paper cites Bitset: Bit-serial early termination for computation reduction in convolutional neural networks,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Bitset: Bit-serial early termination for computation reduction in convolutional neural networks,

Reference 21

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Observation db969114-c42f-4b88-a3d5-b8faacabf698 · outbound

This paper cites 30.2 a 22nm 0.26 nw/synapse spike-driven spiking neural network processing unit using time-step-first dataflow and sparsity-adaptive in-memory computing,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision 30.2 a 22nm 0.26 nw/synapse spike-driven spiking neural network processing unit using time-step-first dataflow and sparsity-adaptive in-memory computing,

Reference 22

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Observation 14b23cd8-8d48-48a8-abf5-fd6ce459b1b3 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 23

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Observation 3e1ad330-9e97-4dab-8c90-342836df99b5 · outbound

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

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Surrogate gradient learning in spiking neural networks,

Reference 24

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Observation 90d59038-b86b-4fb2-9d69-64e77b802dcd · outbound

This paper cites Direct learning-based deep spiking neural networks: a review,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Direct learning-based deep spiking neural networks: a review,

Reference 25

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Observation eda9de02-4a8d-47dd-bc56-4e09e8136472 · outbound

This paper cites To spike or not to spike: A digital hardware perspective on deep learning acceleration,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision To spike or not to spike: A digital hardware perspective on deep learning acceleration,

Reference 26

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Observation 41cc059e-40e3-4a11-88a9-ed1b4bd86385 · outbound

This paper cites Bitwave: Ex- ploiting column-based bit-level sparsity for deep learning acceleration,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Bitwave: Ex- ploiting column-based bit-level sparsity for deep learning acceleration,

Reference 27

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Observation 6cf2adec-bead-4939-a382-f66a13e0169e · outbound

This paper cites Bitpattern: Enabling efficient bit-serial acceleration of deep neural networks through bit-pattern pruning,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Bitpattern: Enabling efficient bit-serial acceleration of deep neural networks through bit-pattern pruning,

Reference 28

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Observation 81225318-57f2-4e4d-974e-4fbd83cd3bb6 · outbound

This paper cites Learning structured sparsity in deep neural networks,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Learning structured sparsity in deep neural networks,

Reference 29

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Observation b05dba21-f4bd-42a9-a819-2f46c271b30f · outbound

This paper cites Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent percep- tion,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent percep- tion,

Reference 30

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Observation c4fc63f0-4e90-4baa-b509-592fcd11f22d · outbound

This paper cites Bitcluster: Fine-grained weight quantization for load-balanced bit-serial neural network accelerators,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Bitcluster: Fine-grained weight quantization for load-balanced bit-serial neural network accelerators,

Reference 31

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Observation b082fee0-bc1a-4e01-8948-9e3f0d7da5e2 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 32

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Observation e08e648b-32e5-4016-8e61-4df1eaf760a2 · outbound

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

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Pytorch: An imperative style, high-performance deep learning library,

Reference 33

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Observation 9ae0969b-1c3c-4df9-821e-1494a5d0426d · outbound

This paper cites Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,

Reference 34

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:30c69af81be7260f2814c785df00540310b1468729ff5176297c0eaa48a292ec

Observation e5505ddb-3764-464e-9510-3e05f6945f25 · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Converting static image datasets to spiking neuromorphic datasets using saccades,

Reference 35

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:8b50c1af1984d921d5d0dcbe20a507d37fa793f0421f92f4b8655e7fc8b1e523

Observation 75ca36fd-2d7a-4f53-8b95-2512f35623ba · outbound

This paper cites Gradient-based learning applied to document recognition,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Gradient-based learning applied to document recognition,

Reference 36

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:29ef72c6ea7b2d9a70cc444c24f9c761a691c83c8da63fc75e2622a198de1439

Observation d1531626-40f8-49ad-b702-7d16a7198213 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Reading digits in natural images with unsupervised feature learning,

Reference 37

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:b7e321746bef453514163ff9017bd7f69ed1a8e6ddf62a0937f04cd4cb2e6b4d

Observation 4bb8f75d-eb15-4e73-9fd0-b83bf4f364ad · outbound

This paper cites A 593nj/inference dvs hand gesture recognition processor embedded with reconfigurable multiple constant multiplication technique,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision A 593nj/inference dvs hand gesture recognition processor embedded with reconfigurable multiple constant multiplication technique,

Reference 38

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:0c5181a2971a8f8c706ac918f49fd837af92bb85a459efc125bf9fea88b10c68

Observation 3c5af566-4f29-4327-81f0-965617e1549a · outbound

This paper cites Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision

Reference 39

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:9eebd30699bbbb138646128cbc1bb4ffb7f980af5320aad8997da66a25a2cad6

Observation 6337d98e-d10d-4eba-a5c9-c3b731e636ba · outbound

This paper cites Sparsecol: A 1320 btops/w precision-scalable npu exploiting training-free structured bit-level sparsity and dynamic dataflow,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Sparsecol: A 1320 btops/w precision-scalable npu exploiting training-free structured bit-level sparsity and dynamic dataflow,

Reference 40

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:3e3cdd7ded63b0209480b0c285670622e65fb10c55a8a55308a9c72065b2cf5c

Observation 8367d57a-014e-46b2-92d5-1222a073953a · outbound

This paper cites Microsoft coco: Common objects in context,.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision Microsoft coco: Common objects in context,

Reference 41

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:18db82594d278bb62967e2e21506d15c1ea3a51d9338c9918232223274886beb

Observation ec8d8fc8-9dde-4647-b1d8-f336c2ad14cf · outbound

This paper cites degree from Imperial College London in September 2016 and his B.Eng.

BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision degree from Imperial College London in September 2016 and his B.Eng

Reference 42

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source=pdf_text observed=2026-07-11T23:52:01.109112Z digest=sha256:88f6144cd7efe076d406a18e20f5b8bf6422bc2309cedcc0ba1480241834370d

Pith citing papers

No inbound Pith citation observations are available.