Reference health

Math Doesn't Have to be Hard

https://doi.org/10.1145/3289602.3293912
CiteStamped reference-health badge
14/14 checkable references clean · checked 2026-07-26

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

11 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 14 checked references that resolve
resolves10.1109/TVLSI.2004.824300
The effect of LUT and cluster size on deep-submicron FPGA performance and density
resolves10.1109/T-C.1973.223648
A Two's Complement Parallel Array Multiplication Algorithm
resolves10.1145/3242898
You Cannot Improve What You Do not Measure
resolves10.1145/2684746.2689077
Enhancements in UltraScale CLB Architecture
resolves10.1109/ISCA.2018.00012
A Configurable Cloud-Scale DNN Processor for Real-Time AI
resolves10.1109/FPT.2006.270384
Enhancing the area-efficiency of FPGAs with hard circuits using shadow clusters
resolves10.1109/TVLSI.2009.2031318
Exploring Area and Delay Tradeoffs in FPGAs With Architecture and Automated Transistor Design
resolves10.1145/2684746.2689071
Floating-Point DSP Block Architecture for FPGAs
resolves10.1145/1046192.1046195
The Stratix II logic and routing architecture
resolves10.1145/2847263.2847267
The Stratix™ 10 Highly Pipelined FPGA Architecture
resolves10.1109/5.231340
Architecture of field-programmable gate arrays
resolves10.1109/JPROC.2017.2761740
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
resolves10.1109/JPROC.2015.2392104
Three Ages of FPGAs: A Retrospective on the First Thirty Years of FPGA Technology
resolves10.1109/FPT.2017.8280115
Automatic circuit design and modelling for heterogeneous FPGAs
The 11 references without a DOI — listed, not checked
no DOI — not checkedA. Boutros mbox . 2018 a. Embracing diversity: Enhanced DSP blocks for low-precision deep learning on FPGAs. In FPL . 1--8. A. Boutros et almbox. 2018a. Embracing diversity: Enhanced DSP blocks for low-precision deep learning on FPGAs. In FPL . 1--8.
no DOI — not checkedM. Burich . 2012 . Conference workshop: FPGAs in 2032 , challenges and opportunities in the next 20 years, convergence of programmable solutions . In FPGA . M. Burich. 2012. Conference workshop: FPGAs in 2032, challenges and opportunities in the next 20 years, convergence of programmable solutions . In FPGA .
no DOI — not checkedC. Chiasson and V. Betz . 2013 . COFFE: Fully-automated transistor sizing for FPGAs. In FPT. 34--41. C. Chiasson and V. Betz. 2013. COFFE: Fully-automated transistor sizing for FPGAs. In FPT. 34--41.
no DOI — not checkedI. Goodfellow mbox . 2016 . Deep learning. Vol. 1 . MIT press Cambridge . I. Goodfellow et almbox. 2016. Deep learning. Vol. 1. MIT press Cambridge.
no DOI — not checkedIntel Corporation. 2017. Intel Stratix 10 logic array blocks and adaptive logic modules user guide (UG-S10LAB) . Intel Corporation. 2017. Intel Stratix 10 logic array blocks and adaptive logic modules user guide (UG-S10LAB) .
no DOI — not checkedA. Krizhevsky mbox . 2012 . ImageNet classification with deep convolutional neural networks. In NIPS . 1097--1105. A. Krizhevsky et almbox. 2012. ImageNet classification with deep convolutional neural networks. In NIPS . 1097--1105.
no DOI — not checkedJ. Luu mbox . 2014 . On hard adders and carry chains in FPGAs. In FCCM. 52--59. J. Luu et almbox. 2014. On hard adders and carry chains in FPGAs. In FCCM. 52--59.
no DOI — not checkedA. Mishra mbox . 2017 . WRPN : wide reduced-precision networks. arXiv preprint arXiv:1709.01134 . A. Mishra et almbox. 2017. WRPN: wide reduced-precision networks. arXiv preprint arXiv:1709.01134 .
no DOI — not checkedV. Rybalkin mbox . 2018 . FINN-L: Library extensions and design trade-off analysis for variable precision LSTM networks on FPGAs. In FPL . 1--8. V. Rybalkin et almbox. 2018. FINN-L: Library extensions and design trade-off analysis for variable precision LSTM networks on FPGAs. In FPL. 1--8.
no DOI — not checkedXilinx Inc. 2017. Virtex UltraScale Xilinx Inc. 2017. Virtex UltraScale
no DOI — not checkedHBM FPGA: A revolutionary increase in memory performance. HBM FPGA: A revolutionary increase in memory performance.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-26 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.1145/3289602.3293912"><img src="https://citestamp.com/citestamped/10.1145/3289602.3293912/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.1145/3289602.3293912/badge.svg)](https://citestamp.com/citestamped/10.1145/3289602.3293912)