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Paper Citation Record · LEDGER

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories

As of 16 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:1908.02472.

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

pith.paper-citation-record.v1
1908.02472 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:49:26.915507Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

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

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24bc5da3-08ff-4840-8632-74477dee0f77 · outbound

This paper cites Deep Learning for IoT Big Data and Streaming Analytics: A Survey,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Deep Learning for IoT Big Data and Streaming Analytics: A Survey,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.888221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.676331Z digest=sha256:348edcfa6783bcd524056d8dfe252c32dd650a9202436f00c6ad480da807ccac

Observation 40cbf482-484c-4a3c-af26-28b0d90de20b · outbound

This paper cites Deep learning,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Deep learning,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.872075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.681716Z digest=sha256:0aa90a431daed0d60a0476f01ce9c136d5b3eca2e2d39a07a39c94bf50d23b3b

Observation aef7079e-cc6c-4e91-93d6-37063b5bc891 · outbound

This paper cites ImageNet classification with deep convolutional neural networks,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories ImageNet classification with deep convolutional neural networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.857374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.686868Z digest=sha256:929d8205d119967a60f8962e83535a6e0956697898f073d3f2c9418665305a3a

Observation ba603d1a-1b1d-45a7-85eb-2dec716e3e0d · outbound

This paper cites Going deeper with convolutions,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Going deeper with convolutions,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.843138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.692318Z digest=sha256:bd3dcbca6410306b22399338ba9159fafeaacf6a18248c8e9f0719277c16755d

Observation f161b598-65cd-48f5-b072-15dee2af942a · outbound

This paper cites Deep residual learning for image recognition,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Deep residual learning for image recognition,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.828860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.697037Z digest=sha256:0eb4f11b71017e46e9b4d77187631a0099cbe0214abb074920a4033ed36f0c56

Observation bb26f683-19fe-4551-821b-6c9a1584d65e · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.701818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.701818Z digest=sha256:b5f0a7b31819025f0fcbd2fd9a281088a56447bab7b00c85a33f646d730a08aa

Observation 145e974b-23c3-435f-882a-1e1bbbefb6ec · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories In-datacenter performance analysis of a tensor processing unit,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.815018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.708352Z digest=sha256:878bdba1ea8c0ba62e750f5455e72edae576f9a53f20816aa464a53235c8ae72

Observation a339efd1-a405-4eb5-93a9-a8231eb119ec · outbound

This paper cites DaDianNao: A Machine-Learning Supercomputer,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories DaDianNao: A Machine-Learning Supercomputer,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.800506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.713531Z digest=sha256:db45eca254595d2afa5ac5208fae7e6e8377da7cdaa2b0c01a7a9ffa301404c4

Observation 7efb7285-b492-482e-a448-9b511f28101c · outbound

This paper cites Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.786812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.718926Z digest=sha256:c29a3ce1a58a32aaa9e073dd20c3c8bad35f9e323be30e3d49f2cdaa27121433

Observation 99aeb477-5457-4933-8a45-06518224e3a1 · outbound

This paper cites an unresolved cited work.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-14T14:49:27.772658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.723409Z digest=sha256:41b15d582310e257b1dc7b7fc437151adb199aee0e3d116f8c1157cadc4b8b39

Observation 7a4717be-f3e4-45da-b9b4-cffd5ecad1df · outbound

This paper cites 14.5 envision: A 0.26-to-10tops/w subword-parallel dynamic-voltage-accuracy- frequency-scalable convolutional neural network processor in 28nm fdsoi,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories 14.5 envision: A 0.26-to-10tops/w subword-parallel dynamic-voltage-accuracy- frequency-scalable convolutional neural network processor in 28nm fdsoi,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.758519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.728105Z digest=sha256:c9bcaf0d9d16f0d2659a27cbf96b86dcb3533122a3d8bccff2fb1fe2719fc63d

Observation 2e23babb-4183-4ca3-a01f-047e450b2534 · outbound

This paper cites Loihi: a neuromorphic manycore processor with on-chip learning,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Loihi: a neuromorphic manycore processor with on-chip learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.744250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.733836Z digest=sha256:2c77ead289fed7d68ea56ab77abe16e03205408e932869a986f15e480be9071e

Observation a053a42f-9844-4f14-8d90-1aa7f7759ddd · outbound

This paper cites A million spiking-neuron integrated circuit with a scalable communication network and interface,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories A million spiking-neuron integrated circuit with a scalable communication network and interface,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.729743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.738342Z digest=sha256:3fbcad18f2602ec0e89660ce90221821373cd55aca83f9b5a7632b59c0f1a62c

Observation 8df95502-887f-40a5-9aba-ec923fefe73d · outbound

This paper cites UNPU: An Energy-Efficient Deep Neural Network Accelerator with Fully Variable Weight bit Precision,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories UNPU: An Energy-Efficient Deep Neural Network Accelerator with Fully Variable Weight bit Precision,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.715297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.742707Z digest=sha256:3994a99bfc0caae67c72f811f9681895507caef2d1a7ddc493dfae15afae2160

Observation e8bec903-b095-4278-aed3-3eb6540dcda9 · outbound

This paper cites Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.747010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.747010Z digest=sha256:981207876639fd1f5990dcd5341acfd6419b903d5f8e3561b4533dfa56efdf0e

Observation d9f90434-a3d3-4351-83c4-e580e6dda542 · outbound

This paper cites Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference

Reference 16

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unresolved
no resolver link, observed 2026-08-14T14:49:26.751845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.751845Z digest=sha256:39136d192ed52473bee663dde0cec1bc8d44e8e06ee08dcd74c86793e3264f33

Observation f3b64cd2-98c2-4c6b-b69e-e08660a344f8 · outbound

This paper cites Alternating Multi-bit Quantization for Recurrent Neural Networks.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Alternating Multi-bit Quantization for Recurrent Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.756482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.756482Z digest=sha256:785f6d580e4dee699ff704857f89e7e1dfb9b4c7eb81a77c74f28695c2f0a86d

Observation 7f982372-09c1-4b21-a469-906bfcceb82d · outbound

This paper cites Mixed-signal neuromorphic inference accelerators: Recent results and future prospects,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Mixed-signal neuromorphic inference accelerators: Recent results and future prospects,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.700522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.761691Z digest=sha256:516312f01ef098bfc49d4312baefbe15a3e5e4caee416485c99517f758ecf5a5

Observation 206b16e5-dc3e-4077-a8f5-def6e2d7ea83 · outbound

This paper cites Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.686293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.767131Z digest=sha256:a3e952cabfb1351413738f4d86f041a22206f996359b3cc208b9dcf55bb6b5ee

Observation ac733a86-d877-42aa-a33d-98eb58f000e2 · outbound

This paper cites Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.672436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.771335Z digest=sha256:694347d26a93534eb661d0e7f70c88e0c54999052ed4d0b853cc0e309e8419e1

Observation 21ee75a4-7bcb-494b-8882-77f4649a32d6 · outbound

This paper cites Face classification using electronic synapses,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Face classification using electronic synapses,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.657788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.775536Z digest=sha256:5e19d17b146c1ab832c9ff1e8d31e8dc61714ef3fa92b7530dfefc3a3d7e6a88

Observation 05dc33b6-fdae-44f0-bba8-8773be6c57de · outbound

This paper cites A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.643337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.780105Z digest=sha256:a29f87d9f0c8392c6e5fd01114b114d0fd4cdaa9b8e6baf5b8e928fc4fd4b763

Observation 501fe38c-1a8d-48cb-b694-4359abb9252c · outbound

This paper cites Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165,000 Synapses), using Phase-Change Memory as the Synaptic Weight Element,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165,000 Synapses), using Phase-Change Memory as the Synaptic Weight Element,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.627781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.784924Z digest=sha256:df716955876eaeb42d171957cc37a38c9afe3dcd26d7da790b20ae297fc908ac

Observation e6621b7c-e2e4-4add-ba15-92ba3068e538 · outbound

This paper cites Neuromorphic computing with multi- memristive synapses.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Neuromorphic computing with multi- memristive synapses

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.613039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.789220Z digest=sha256:65c039688dcacd072ca23d3e937fa6d65545c0714a5215d6456612a12ab01e3b

Observation 5fe6170d-17bc-405a-ab95-4edc4170889e · outbound

This paper cites Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.598888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.793998Z digest=sha256:a1a4b3197311c89e6bb87ed3c33fa9b76749988ef42e34a83d82f17d52612bf2

Observation 199899a9-039f-4e81-b95f-212da9e7c45d · outbound

This paper cites An ultra low energy internally analog, externally digital vector-matrix multiplier circuit based on NOR flash memory technology,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories An ultra low energy internally analog, externally digital vector-matrix multiplier circuit based on NOR flash memory technology,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.584642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.798849Z digest=sha256:e169b40f31bc3ef447fbf5ab9dd35c098bbb55a25b6847b14933f6fdf82d7eac

Observation 97dd4bc6-c415-4264-81b6-48da90447e7b · outbound

This paper cites Energy- Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Energy- Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.803005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.803005Z digest=sha256:d5835e30515a9741df7cee5321f5958f9321bde5716f856cf1444e96d3fc2af9

Observation 2a4662ef-a194-4a74-9cb3-a5bcc513d88a · outbound

This paper cites Finding a roadmap to achieve large neuromorphic hardware systems,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Finding a roadmap to achieve large neuromorphic hardware systems,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.570817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.807618Z digest=sha256:cbbc1bef1f040292c27d4266bad526a89ee1b00fdcfcffbd5e4e4dd7eebfb87d

Observation 519ba3c3-a216-4bbc-a47d-3946780f87e0 · outbound

This paper cites A highly dense, low power, programmable analog vector-matrix multiplier: The FPAA implementation.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories A highly dense, low power, programmable analog vector-matrix multiplier: The FPAA implementation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.557323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.811840Z digest=sha256:c66718c41e7bc193707adac30bbafe264374981ec1dc7c1adddd27c90fcd5900

Observation c0d24034-b04f-4d6e-aa89-d43ae66eccd4 · outbound

This paper cites Sub-microwatt analog VLSI trainable pattern classifier.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Sub-microwatt analog VLSI trainable pattern classifier

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.542735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.815964Z digest=sha256:faaffd435cbf0dc4298bae3cc0cbd15c7aaf2552ed9fa1498c345796abbf1708

Observation 1fe20c1e-ce22-4572-aca6-a5738d861bf8 · outbound

This paper cites System and Methods for Mixed-Signal Computing,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories System and Methods for Mixed-Signal Computing,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.528280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.820289Z digest=sha256:21367fbfc119c0e25c12edda89001c0189fdf2d22f758f5d5360c5fa696fa1ab

Observation bea6bd2d-cc48-462c-9a7a-6af921530081 · outbound

This paper cites Systems and Methods for Customizing Neural Networks,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Systems and Methods for Customizing Neural Networks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.513073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.824646Z digest=sha256:92f765b9ce7aaa867a7e86915035c8aa5c349cfc8ad9799eba707e73b3508a59

Observation 6b60f3a2-01b4-4e78-ac87-d0856463ad37 · outbound

This paper cites Superflash Technology Overview.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Superflash Technology Overview

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.498351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.829029Z digest=sha256:e50183e76024896f6a65a4483204b5564e83982b6ba543941935d6c6de1626fe

Observation c2d428d3-8545-4b3c-a10a-9bf96701e945 · outbound

This paper cites Reviewing the evolution of the NAND flash technology,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Reviewing the evolution of the NAND flash technology,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.483378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.833457Z digest=sha256:3e458832b9c9642ffd255586f5fbd295e026e70cce925cc9d15da3928e4dfe5f

Observation b7d50558-560a-4a2b-af07-c259146df798 · outbound

This paper cites Three-Dimensional 128 Gb MLC Vertical nand Flash Memory With 24-WL Stacked Layers and 50 MB/s High- Speed Programming,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Three-Dimensional 128 Gb MLC Vertical nand Flash Memory With 24-WL Stacked Layers and 50 MB/s High- Speed Programming,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.468695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.838203Z digest=sha256:c145b8d411e944ef8316615c15b9a555c3452085dd658d319fb6651771ebf7a4

Observation 31a18877-59d4-4b6d-b6d0-5b65825a78ec · outbound

This paper cites A 512Gb 3b/cell 64-stacked WL 3D V-NAND flash memory,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories A 512Gb 3b/cell 64-stacked WL 3D V-NAND flash memory,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.454369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.843752Z digest=sha256:fa94fe50b4d8266baaff6fba6a3c3291b1855bceedefc7fe023012ac8fe0cb60

Observation e8f8e0a9-c80d-4bd6-ac57-4e8b155154fb · outbound

This paper cites A 1.33Tb 4-bit/Cell 3D-Flash Memory on a 96-Word-Line-Layer Technology,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories A 1.33Tb 4-bit/Cell 3D-Flash Memory on a 96-Word-Line-Layer Technology,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.440506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.848514Z digest=sha256:0082cdbbebd9151e4da1d589a232651c6335674a62a9a9f85d8dc126360ba543

Observation 3170ec5c-d4d4-4c27-9e28-106c6e042360 · outbound

This paper cites A Behavioral Compact Model for Static Characteristics of 3D NAND Flash Memory,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories A Behavioral Compact Model for Static Characteristics of 3D NAND Flash Memory,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.852882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.852882Z digest=sha256:5b0ff1ab54100f02a82d202eaed13222df8fd5b9b473a7880c79f0bb5286297e

Observation 54417fb1-5bc9-4c4a-9107-87d6819530bd · outbound

This paper cites Three-Dimensional nand Flash for Vector-Matrix Multiplication,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Three-Dimensional nand Flash for Vector-Matrix Multiplication,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.857042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.857042Z digest=sha256:cd941d3dadfb330b64d0fb28675e2f273818a5b27c3d841c70b6181d1bff137d

Observation 655ca32d-c03c-4eb4-b61f-6cceba2f9a7c · outbound

This paper cites Time- mode circuits for analog computation,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Time- mode circuits for analog computation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.425720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.861362Z digest=sha256:9bf4c926fdcaf1afbed48dd7b1e30f6f0662ff28c3a926cd7ffe47ad588f0795

Observation 318dcfed-4e88-467b-a243-53a97e32310f · outbound

This paper cites A Time-domain Analog Weighted-sum Calculation Model for Extremely Low Power VLSI Implementation of Multi-layer Neural Networks.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories A Time-domain Analog Weighted-sum Calculation Model for Extremely Low Power VLSI Implementation of Multi-layer Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.865589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.865589Z digest=sha256:07b4a0190ea950342a65a11dad07e215afe56d1c7b6a5b78f6b1811c9c0fe9c1

Observation d5e37f79-5d44-4293-8017-1621e26bbc61 · outbound

This paper cites Silicon nanodisk array with a fin field-effect transistor for time-domain weighted sum calculation toward massively parallel spiking neural networks,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Silicon nanodisk array with a fin field-effect transistor for time-domain weighted sum calculation toward massively parallel spiking neural networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.410915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.870158Z digest=sha256:27102e0b2752951bcef057285988611371391952fc0b320f9ac9c1aace77953e

Observation f0464699-38e0-497a-a04b-d27afff78d60 · outbound

This paper cites Characterization and Modeling of Temperature Effects in 3-D NAND Flash Arrays—Part I: Polysilicon-Induced Variability,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Characterization and Modeling of Temperature Effects in 3-D NAND Flash Arrays—Part I: Polysilicon-Induced Variability,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.396735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.874596Z digest=sha256:104ecc78c045c44b669531e47c06421193b35ee4ed54331da9c5a7ecca39026e

Observation 163ad96b-624b-4a8d-8232-bff358f8689d · outbound

This paper cites Investigation and Compact Modeling of the Time Dynamics of the GIDL-Assisted Increase of the String Potential in 3-D NAND Flash Arrays,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Investigation and Compact Modeling of the Time Dynamics of the GIDL-Assisted Increase of the String Potential in 3-D NAND Flash Arrays,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.382544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.879337Z digest=sha256:ed2182989e7ac74ecf9597634aa55d9a8723476ef27f9144f694ad5d45c0852e

Observation b2e16634-ae6a-4071-a19a-48f897db3c1e · outbound

This paper cites CACTI 6.0: A Tool to Understand Large Caches,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories CACTI 6.0: A Tool to Understand Large Caches,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.367692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.883746Z digest=sha256:db4b6d542c6ce076d490115ef13749e65fdfcf548cb3a895cc1045b7337df65b

Observation 2fbd122f-e7ae-408b-90fd-7f574d9f5f93 · outbound

This paper cites ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.350502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.888043Z digest=sha256:5ac4cac81b064582497d15f1a26f421cb349df1614bca94554f3cf93e6624232

Observation e2cbffed-4f52-448a-bec9-357600fc501a · outbound

This paper cites PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.892884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.892884Z digest=sha256:7d381c96985eb56a858e6b06d4d7c8c9cf0419d17573a23dea9ea5ada78e9029

Observation efed412d-13a5-43fb-b4fe-0ece36a1e928 · outbound

This paper cites Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.334522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.897569Z digest=sha256:c9053b17d6db7fe93b5f4d362e2ccfa364980928571c436bf09afeb991460007

Observation cb42bdf1-ca7b-4259-a4f1-3b9e1bc13195 · outbound

This paper cites PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.319117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.901921Z digest=sha256:4fa81dd266ecfddb2d184f8a75e19710ba3fcec840437996636eca030252a00d

Observation 44c8f685-91ba-4645-ab4a-99b936857f9b · outbound

This paper cites PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.303971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.906316Z digest=sha256:372d06829286c2baed58c0b2abb50d7a96af167f261e346ead829b2baa0e582a

Observation d586fd67-823f-4e02-a38e-1653d83fe87c · outbound

This paper cites RAPIDNN: In-Memory Deep Neural Network Acceleration Framework.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-14T14:49:26.910615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:49:26.910615Z digest=sha256:bddbfa74fa7cb3f23cefe5ab3b93b2e3435f159e22f5d0ed1d8c7dec5e6ed6b6

Observation 0c3a1b87-020e-4047-896f-a1ab9fb19626 · outbound

This paper cites PROMISE: An End-to- End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms,.

3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories PROMISE: An End-to- End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:49:27.288221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:49:26.915507Z digest=sha256:b40161be685616a24470dcc43f8de6554170ba6c19e80834b969a6a0e6a71efa

Pith citing papers

No inbound Pith citation observations are available.