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Paper Citation Record · LEDGER

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA

As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.25562.

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

pith.paper-citation-record.v1
2606.25562 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T19:39:19.171282Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

15 of 15 outbound references displayed

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  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4763cd4-a30b-4553-a559-cf642b952cb6 · outbound

This paper cites Medical image segmentation review: The success of u-net,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Medical image segmentation review: The success of u-net,

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:c737a62416c95eef47e486cd8d72887ee7ce9f2bf1099395e68b6f0a53cee05d

Observation db6e5c8e-8054-4a44-a426-5606365b2acb · outbound

This paper cites Efficient hardware design of a deep u-net model for pixel-level ecg classification in healthcare device,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Efficient hardware design of a deep u-net model for pixel-level ecg classification in healthcare device,

Reference 2

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:56dafc484672d6aa19f0e6dcd18b76d3056b1b0dc7a47be975ffa7ceddf0247a

Observation b03e505c-fad8-4dcf-809b-e789658ba6ee · outbound

This paper cites Review of neural network model acceleration techniques based on fpga platforms,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Review of neural network model acceleration techniques based on fpga platforms,

Reference 3

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:6748bef1fc320cc5ddb1b3c912daa1ff2887254fe035649d6647740d9623426f

Observation 4583959b-dcfc-4291-8fa7-05f70aba286c · outbound

This paper cites Appq-cnn: An adaptive cnns inference accelerator for syn- ergistically exploiting pruning and quantization based on fpga,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Appq-cnn: An adaptive cnns inference accelerator for syn- ergistically exploiting pruning and quantization based on fpga,

Reference 4

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:b01c4099cea5183b88cfbaa6ad47e9cd9eb376ba42501b6ef4bd29a8dcefcd72

Observation ccef20cd-8668-48df-a9e7-cf8822f28a2d · outbound

This paper cites Bitmac: Bit-serial computation- based efficient multiply-accumulate unit for dnn accelerator,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Bitmac: Bit-serial computation- based efficient multiply-accumulate unit for dnn accelerator,

Reference 5

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:bfb1a732ee6746b664112eb2f1eaa82f707909dedfc97745daa9e1534255d977

Observation fc40b614-7808-48da-86cc-b8d081fc5723 · outbound

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

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Bitcluster: Fine-grained weight quantization for load- balanced bit-serial neural network accelerators,

Reference 6

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:d31c993625e45edbd02c69a7b03eb12fb32c8c08a40672d932928a4d5c7cad8a

Observation c5db833f-4774-458d-8713-0d5102672ec9 · outbound

This paper cites Usefuse: Uniform stride for enhanced performance in fused layer architecture of deep neural networks,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Usefuse: Uniform stride for enhanced performance in fused layer architecture of deep neural networks,

Reference 7

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:8372011c9d53bab221f22173da4d362862376ed7b4547687d148bbcbe2b51f7c

Observation 2aa5e1fb-bdd7-4de3-be4a-755b45a9b6bd · outbound

This paper cites Low-latency online multiplier with reduced activities and mini- mized interconnect for inner product arrays,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Low-latency online multiplier with reduced activities and mini- mized interconnect for inner product arrays,

Reference 8

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:4df4cb49ff29313e98d87b3edfcceb9bf0edaf570b32b88a54f3e0c092794685

Observation 27e8a503-68e7-4105-8462-b6102addd8e8 · outbound

This paper cites On-cnn: Low latency and high throughput online arithmetic based convolutional neural network accelerator,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA On-cnn: Low latency and high throughput online arithmetic based convolutional neural network accelerator,

Reference 9

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:53368b65fe074a9f9a60afd61f92e28883f73d220aff7036552d953836ca1366

Observation 980c8627-f000-4830-9a1a-f9801b295e66 · outbound

This paper cites An efficient dot-product unit based on online arithmetic for variable precision applications,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA An efficient dot-product unit based on online arithmetic for variable precision applications,

Reference 10

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:b7eeee87d8c397f865b62ef7a4833e15887296ee70a1b0d54259c5267e287cb0

Observation f6b3ccd1-20c0-4ed9-80f0-9f6e3c80c1d7 · outbound

This paper cites Echo: Energy-efficient computation harnessing online arithmetic—an msdf-based accelerator for dnn inference,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Echo: Energy-efficient computation harnessing online arithmetic—an msdf-based accelerator for dnn inference,

Reference 11

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:7254df45a82d3941ca1778051f29513b5db0e8a0ce1873b75f2304c02e36d990

Observation 72a72efb-b722-42fe-b411-7a4b7ff74f54 · outbound

This paper cites Optimizing fpga-based accelerator design for deep convolutional neural networks,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Optimizing fpga-based accelerator design for deep convolutional neural networks,

Reference 12

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:05956116b480526011f058aa6f9df67f314c045103ece5b3bb37284a350eff48

Observation 83468348-5ed3-44f0-8353-d34e95817e28 · outbound

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

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Unpu: An energy-efficient deep neural network accelerator with fully variable weight bit precision,

Reference 13

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:9c10de7d49bfa8eac31e9ed5d495b1d335fa1c65ff41a100e9e6ed7356faafcb

Observation 81e1a7b1-5bc7-4f39-8a2b-613128b20885 · outbound

This paper cites Constant-time addition with hybrid-redundant numbers: Theory and implementa- tions,.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA Constant-time addition with hybrid-redundant numbers: Theory and implementa- tions,

Reference 14

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source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:9d7c39bec2758634b92829827ddf074715de2746a42bcfbbce261a1e73de156f

Observation 07555963-89e6-40ca-b723-6a9d7d261074 · outbound

This paper cites FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference.

Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference

Reference 15

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verified exact
arxiv_id, observed 2026-07-04T20:50:10.678976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-25T19:39:19.171282Z digest=sha256:4eb14285a56707a96b634684b35d086329dc901caaa6a0d1477df53a66960a7f

Pith citing papers

No inbound Pith citation observations are available.