Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

26 of 26 outbound references displayed

  • verified exact5
  • verified fuzzy5
  • unresolved11
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch1

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:15.738533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:15.738533Z digest=sha256:c6a63871ace45fe85ec58deb59d5940d0a4da7a4de56b5788ac74c373e02e2c7

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T23:42:22.454751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:15.805767Z digest=sha256:36d1755f605d02eb9fe0c2acdc3f092a636bd2aa7aea20b1757b74e9f22c68c7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:22.437854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:15.902149Z digest=sha256:4fc913356b94fb5b2c285e84d88a59dc5c806518e3e4f5ef6193b878421d6dce

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:16.369859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:16.369859Z digest=sha256:38434b740ff04e0275d243d4622951e6bf12fab2162e23fb479ed35aa808ec9b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:17.289706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:17.289706Z digest=sha256:1bf2b8504bce4a1988cc2535be713ffe924916202fac4de59a8641ac70c1e082

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:17.682635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:17.682635Z digest=sha256:ba756e2d09467eed0b6a9ed60cab99a9d8e9e4f78dd70abea7dd81a75065972b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:22.419472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:17.984759Z digest=sha256:6b22310237cc2750a79de3416afd2398aa106737dfce7322e20411d59ca36169

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:18.148859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:18.148859Z digest=sha256:a12e189ba37ae52d6f3b55cc095ff05fb120eff48372881e00ef21ff35e85745

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:42:22.025731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:18.215493Z digest=sha256:8ba78a162d422877d3e168728f35fb19b10d41cacac28d2d0bdd5bc985ebdc6c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:18.410982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:18.410982Z digest=sha256:5489579e250ce7e9045b8fa6e8fdcc54f9a2ff795613d1c87f143fa562c19cfa

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:22.394262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:18.524994Z digest=sha256:fd6a707f1661cbee18bd6c4cb3c3f9a83184297406debcce1966df415a66b81d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:22.366349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:18.633992Z digest=sha256:8c3a7970d6db049ce19f1d6c4edd4c85afab77245f88967cdb188531c3f7acd3

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:18.737239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:18.737239Z digest=sha256:b66e68212364d6b3f9928f11839f0f851f7a25217f20cb8263c4a84c17122c6a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:18.866802Z digest=sha256:78e91199385a3ea2f4da837f5f9fd3c8820fa5c183513a7044f27bcbb0fe22e9

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:42:22.347239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:19.017517Z digest=sha256:3e201e0eafd48fbe5410bde0fc50423227b9fa5601cd4ce111c2efd2a48e988b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:19.257027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:19.257027Z digest=sha256:d38e8d94e4e9dd7ce8f9c42bb324bfecd12793bde7288daebb558345ff4f0a18

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:42:19.370124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:19.370124Z digest=sha256:1a3a3162bf4ee7dd8756021c31fa3fc481964a2dfe24c6906bbe6c6773d96be6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:42:22.321045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:19.505729Z digest=sha256:35e774c98686559374016096a64a3f5421e33154587d6c2c2de2b8e93b680516

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:19.665104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:19.665104Z digest=sha256:87e4b1a6732843d5b76ae00f1c995a05db0dbd34b582865ae900b2b74af89270

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:42:21.193043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:19.780867Z digest=sha256:75ecbbffbf32366733c6fe15ed3ea47ec6831c9ad00341f59eff6d932a40535d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:19.852674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:19.852674Z digest=sha256:210373cf853be527cac7941cd7a46f8723c15a62a711e9aca5fde423a982b878

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:42:20.002432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:20.002432Z digest=sha256:6ccbba92422470263baadb119f583735d833307937e47f93e26906d641b30289

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:42:20.132338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:20.132338Z digest=sha256:3cf201e46279c6d7c722dce1d5f37e7b65d152ad0e7bfa3e6725b848e4d3ca8b

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

Resolution
verified exact
doi, observed 2026-08-06T23:42:20.732181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:20.282034Z digest=sha256:9024d700c42318c7e0593334ada6fd77491b6dd4c9bab057753f386df08afdeb

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

Resolution
verified exact
doi, observed 2026-08-06T23:42:20.570947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:20.354865Z digest=sha256:a85cc482ba7efecf406b4f655e44b0ffee64545818ccf2144cb1e8ca38f4df05

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:42:19.134746Z digest=sha256:0119d7696de638c3ca0b2bcac09034fb02157aca32b9c1f0e2f0f2d50dda09ea

Pith citing papers

No inbound Pith citation observations are available.