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Paper Citation Record · LEDGER

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.16800.

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

pith.paper-citation-record.v1
2506.16800 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:20.354865Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af73a72d-e955-4773-b4e3-bb17fac0abef · outbound

This paper cites ImageNet clas- sification with deep convolutional neural networks,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation ImageNet clas- sification with deep convolutional neural networks,

Reference 1

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Observation a0ee3f95-cc37-4dcf-9766-72683a395831 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Deep Residual Learning for Image Recognition,

Reference 2

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9e2479f5-b20f-4539-9a58-f7e8074d2e77 · outbound

This paper cites Training Very Deep Networks,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Training Very Deep Networks,

Reference 3

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Observation 1a7357b6-f55b-4c15-8bed-fea9ec2c74d1 · outbound

This paper cites OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65c6ce17-e480-4ab2-92b7-833eada508a6 · outbound

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

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolu- tional Neural Networks,

Reference 5

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Observation ed62a4c7-65f7-4f05-8f97-e39ec64f6255 · outbound

This paper cites In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array,

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 58ddda1f-cf76-43e5-aa10-d66bb03f00ed · outbound

This paper cites A Charge- Sharing Based 8T SRAM In-Memory Computing for Edge DNN Acceleration,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation A Charge- Sharing Based 8T SRAM In-Memory Computing for Edge DNN Acceleration,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 84acaded-7225-42f0-b463-883f304ceca8 · outbound

This paper cites 34.4 A 3nm, 32.5TOPS/W, 55.0TOPS/mm 2 and 3.78Mb/mm 2 Fully-Digital Compute-in-Memory Macro Supporting INT12×INT12 with a Parallel-MAC Architecture and Foundry 6T-SRAM Bit Cell,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation 34.4 A 3nm, 32.5TOPS/W, 55.0TOPS/mm 2 and 3.78Mb/mm 2 Fully-Digital Compute-in-Memory Macro Supporting INT12×INT12 with a Parallel-MAC Architecture and Foundry 6T-SRAM Bit Cell,

Reference 10

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Observation 7eb997e7-5c9b-456f-b492-2ee6ab840fa6 · outbound

This paper cites A 1-16b Reconfigurable 80Kb 7T SRAM-Based Digital Near- Memory Computing Macro for Processing Neural Networks,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation A 1-16b Reconfigurable 80Kb 7T SRAM-Based Digital Near- Memory Computing Macro for Processing Neural Networks,

Reference 11

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Observation 4d5bc95b-be20-493f-81b8-6350c852b3b8 · outbound

This paper cites 1.1 Computing’s Energy Problem (and What We Can Do About It),.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation 1.1 Computing’s Energy Problem (and What We Can Do About It),

Reference 12

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Unavailable: canonical work link unavailable.

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Observation be38bae0-8c3f-40b5-b47f-2614170d1a99 · outbound

This paper cites Patient- Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Patient- Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d604b653-bc72-4ac1-b804-85ad18819fe4 · outbound

This paper cites LAcc: Exploiting Lookup Table-Based Fast and Accurate Vector Multiplication in DRAM-Based CNN Accelerator,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation LAcc: Exploiting Lookup Table-Based Fast and Accurate Vector Multiplication in DRAM-Based CNN Accelerator,

Reference 14

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 704cd387-b0bb-463c-97de-dd3297423ae7 · outbound

This paper cites Generalized Slow Roll for Tensors.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Generalized Slow Roll for Tensors

Reference 15

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Observation d3fa6e69-524f-4ea5-bd24-8a15d952f838 · outbound

This paper cites Multiplying Matrices Without Multiplying.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Multiplying Matrices Without Multiplying

Reference 16

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verified exact
local_arxiv, observed 2026-08-06T23:42:21.742706Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6cb75ab7-0bed-43b2-ad78-fa75412e46ee · outbound

This paper cites an unresolved cited work.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fee8fe7a-36a5-4372-876e-c4c232aa780c · outbound

This paper cites LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup,

Reference 18

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Observation 4a07dc24-3b29-4af9-a59f-b21d8cbf7635 · outbound

This paper cites Product Quantization for Nearest Neighbor Search,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Product Quantization for Nearest Neighbor Search,

Reference 19

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Observation 6d02e4e5-75b2-4fa0-b13e-4084afd0bc59 · outbound

This paper cites McCarter and N.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation McCarter and N

Reference 20

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Observation bf129277-e4e2-40e7-988d-e5fc5e8ed8d1 · outbound

This paper cites Lookup Table-Based Computing-in-Memory Macro Approximating Dot Products Without Multiplications for Energy-Efficient CNN Inference,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Lookup Table-Based Computing-in-Memory Macro Approximating Dot Products Without Multiplications for Energy-Efficient CNN Inference,

Reference 21

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Observation 3dee43c2-d7fe-44ec-946f-15f8c1e59c0b · outbound

This paper cites Stella Nera: A Differentiable Maddness-Based Hardware Accelerator for Efficient Approximate Matrix Multiplication.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Stella Nera: A Differentiable Maddness-Based Hardware Accelerator for Efficient Approximate Matrix Multiplication

Reference 22

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fa27bd51-ac36-4112-9a6f-c06e5553b153 · outbound

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

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Gradient-based learning applied to document recognition,

Reference 23

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Observation 903eb4ae-d2d4-4fb7-bc52-8411c44a3eec · outbound

This paper cites Pipeline Architecture,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Pipeline Architecture,

Reference 24

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Observation d42829d3-53f7-4d61-8aac-7cd48da476dd · outbound

This paper cites Asynchronous design methodologies: an overview,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation Asynchronous design methodologies: an overview,

Reference 25

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Observation 5e3982f0-bedb-45b5-bc52-8c9d69c2dc4f · outbound

This paper cites A four-phase handshaking asynchronous static RAM design for self-timed systems,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation A four-phase handshaking asynchronous static RAM design for self-timed systems,

Reference 26

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2cbc95ed-4a78-48e4-93f4-b546cc2069b8 · outbound

This paper cites A Replica Technique for Wordline and Sense Control in Low-Power SRAMs,.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation A Replica Technique for Wordline and Sense Control in Low-Power SRAMs,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 725707f0-2eed-4e44-a26f-a115b588ce5e · outbound

This paper cites PECAN: A Product-Quantized Content Addressable Memory Network.

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation PECAN: A Product-Quantized Content Addressable Memory Network

Reference 2022

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verified exact
local_arxiv, observed 2026-08-06T23:42:21.568454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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