Paper Citation Record · LEDGER

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2510.14393.

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

pith.paper-citation-record.v1
2510.14393 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:44:16.236747Z

measured 23 of 23 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:24:55.670377Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:24:57.755945Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy22
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 109cb5fa-7632-4fe1-bfb5-26c08ab5ff08 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Training data-efficient image transformers & distillation through attention

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.246409Z

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.

Observation 2a3356ca-404a-4fb5-86b1-d7b8c6a7c4aa · outbound

This paper cites A 3: Accelerating attention mechanisms in neural networks with approximation.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow A 3: Accelerating attention mechanisms in neural networks with approximation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.240647Z

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.

Observation 37bb5194-f43c-4245-a8e0-a1e192bb4f59 · outbound

This paper cites ELSA: hardware-software co-design for efficient, lightweight self- attention mechanism in neural networks.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow ELSA: hardware-software co-design for efficient, lightweight self- attention mechanism in neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.287568Z

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.

Observation e4ac2999-d93e-4a15-98c3-f5c109167654 · outbound

This paper cites A 28nm 27.5TOPS/W approximate- computing-based transformer processor with asymptotic sparsity spec- ulating and out-of-order computing.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow A 28nm 27.5TOPS/W approximate- computing-based transformer processor with asymptotic sparsity spec- ulating and out-of-order computing

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.276622Z

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.

Observation fbda2085-a61d-433b-968e-09801b1ba685 · outbound

This paper cites SpAtten: Efficient sparse attention architecture with cascade token and head pruning.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow SpAtten: Efficient sparse attention architecture with cascade token and head pruning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.268990Z

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.

Observation 3ee6eaf0-0e8a-4867-b905-34b616ec05ff · outbound

This paper cites FACT: FFN-attention co-optimized transformer architecture with eager correlation prediction.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow FACT: FFN-attention co-optimized transformer architecture with eager correlation prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.271839Z

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.

Observation dcb8b004-7cf8-4e2b-8bec-9739982580d5 · outbound

This paper cites Bsvit: A bit-serial vision transformer accelerator exploiting dynamic patch and weight bit-group quantization.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Bsvit: A bit-serial vision transformer accelerator exploiting dynamic patch and weight bit-group quantization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.298069Z

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.

Observation a9473c4e-e41e-489f-b9d4-00f0b66304e7 · outbound

This paper cites Evo-ViT: Slow-fast token evolution for dynamic vision transformer.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Evo-ViT: Slow-fast token evolution for dynamic vision transformer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.274083Z

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.

Observation 28eec9e9-48ca-48fb-8ea2-e320a14faee1 · outbound

This paper cites Not all patches are what you need: Expediting vision transformers via token reorganiza- tions.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Not all patches are what you need: Expediting vision transformers via token reorganiza- tions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.284741Z

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.

Observation 6c63d297-8841-4ea4-972a-3b5f19926b0d · outbound

This paper cites A-ViT: adaptive tokens for efficient vision transformer.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow A-ViT: adaptive tokens for efficient vision transformer

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.301065Z

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.

Observation 9c18cfca-9973-4d0f-b4d9-ec61b4b1be5a · outbound

This paper cites Adaptive token sampling for efficient vision transformers.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Adaptive token sampling for efficient vision transformers

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.243514Z

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.

Observation 32055b2e-539b-4287-a973-6ca42b821e31 · outbound

This paper cites Dynam- icViT: Efficient vision transformers with dynamic token sparsification.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Dynam- icViT: Efficient vision transformers with dynamic token sparsification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.282327Z

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.

Observation dfff89ab-4891-4745-8230-5147314078ac · outbound

This paper cites Pruning self-attentions into convolutional layers in single path.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Pruning self-attentions into convolutional layers in single path

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.261252Z

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.

Observation 3606f8f2-823f-4eee-8d62-bbe947b7eecd · outbound

This paper cites HeatViT: hardware-efficient adaptive token pruning for vision transformers.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow HeatViT: hardware-efficient adaptive token pruning for vision transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.263776Z

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.

Observation 6e220b56-723c-49bc-a88e-8fde0ab2a66a · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.279339Z

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.

Observation 256ba5a2-c70e-4427-b680-1272311f6ac8 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Swin transformer: Hierarchical vision transformer using shifted windows

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.266727Z

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.

Observation 1fbeeb40-1e0b-4104-b4b1-dc3983ecf4dd · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Tokens-to-token vit: Training vision transformers from scratch on imagenet

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.258553Z

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.

Observation 3ba12419-29ee-4363-a162-57ca1f3613f9 · outbound

This paper cites Go- ing deeper with image transformers.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow Go- ing deeper with image transformers

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.294944Z

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.

Observation 089cd5f4-2a8d-4f2f-8111-83cc72975518 · outbound

This paper cites ViTA: A vision transformer inference accelerator for edge applications.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow ViTA: A vision transformer inference accelerator for edge applications

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.255931Z

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.

Observation 994b3618-e2a1-4cc4-8a95-8c4aa49d0a21 · outbound

This paper cites A comparison-free hardware sorting engine.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow A comparison-free hardware sorting engine

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.253519Z

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.

Observation 4c99b13e-8f89-4592-8f9d-b15d44724660 · outbound

This paper cites K-degree parallel comparison-free hardware sorter for complete sorting.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow K-degree parallel comparison-free hardware sorter for complete sorting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.249532Z

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.

Observation b9ddb3f5-1eb6-464b-9782-e4a09ba17ebd · outbound

This paper cites ImageNet: a large-scale hierarchical image database.

Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow ImageNet: a large-scale hierarchical image database

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:46:01.289775Z

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.

Pith citing papers

Observation dd80e6c1-e9e6-4f8d-b58e-d28a70013357 · inbound

DeVIT: Low-Power Vision Transformer Acceleration Using Delta Computation cites this paper.

DeVIT: Low-Power Vision Transformer Acceleration Using Delta Computation Low Power Vision Transformer Accelerator with Hardware-Aware Pruning and Optimized Dataflow

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:24:57.819571Z

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.