PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning | Paper Citation Record

Observation c7369acc-72ea-4c3e-aec8-62f5244ce175 · outbound

This paper cites Design Rule Violation Prediction at Sub-10-nm Process Nodes Using Customized Convolutional Networks,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Design Rule Violation Prediction at Sub-10-nm Process Nodes Using Customized Convolutional Networks,

Reference 1

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Observation 4090d902-4d45-422c-a18c-9f89ba35d7d0 · outbound

This paper cites Soft voting-based ensemble approach to predict early stage DRC violations,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Soft voting-based ensemble approach to predict early stage DRC violations,

Reference 2

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Observation 0fd960a5-e761-4fa3-86d3-32c7d34e10e2 · outbound

This paper cites Chip Placement with Deep Reinforcement Learning.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Chip Placement with Deep Reinforcement Learning

Reference 3

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Observation 55e10e79-2a34-4024-a92b-f8389ee8b5f9 · outbound

This paper cites Feasibility prediction for rapid IC design space exploration,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Feasibility prediction for rapid IC design space exploration,

Reference 4

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Observation 4cf4e533-5d24-4d57-9990-68026b871bcc · outbound

This paper cites A no-human-in-the-loop method- ology toward optimal utilization of EDA tools and flows,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning A no-human-in-the-loop method- ology toward optimal utilization of EDA tools and flows,

Reference 5

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Observation b4bec69d-c47c-4ce5-b6d8-777b5844382d · outbound

This paper cites An Open- Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning An Open- Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.574503Z

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Observation 83e969cb-48d0-46c2-8a38-625f48f80dee · outbound

This paper cites DRC Violation Prediction with Pre-global-routing Features Through Convolutional Neural Network,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning DRC Violation Prediction with Pre-global-routing Features Through Convolutional Neural Network,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.559296Z

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Observation e7ba29b7-dfb6-4502-af8a-38cdc2670206 · outbound

This paper cites Early Stage DRC Hotspot Prediction for Mixed-Size Designs Through an Efficient Graph-Based Deep Learning,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Early Stage DRC Hotspot Prediction for Mixed-Size Designs Through an Efficient Graph-Based Deep Learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.544244Z

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Observation 3c90b791-67b1-415a-af31-9aa9f2a396fd · outbound

This paper cites Bi-Level Optimization Accelerated DRC-Aware Physical Design Automation for Photonic Devices,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Bi-Level Optimization Accelerated DRC-Aware Physical Design Automation for Photonic Devices,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.530301Z

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Observation 080b4ce1-d0a0-4a58-97e8-5089e593d8da · outbound

This paper cites Learning intru- sion detection: Supervised or unsupervised?.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Learning intru- sion detection: Supervised or unsupervised?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.514301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e086fe0e-39e6-4771-bcac-5fd1794a32f7 · outbound

This paper cites DRC Violation Prediction After Global Route Through Convolutional Neural Network,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning DRC Violation Prediction After Global Route Through Convolutional Neural Network,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.498913Z

Source-reported events for the cited work

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Observation e157fcfb-467b-4b5b-b4ec-49bcacf30fe0 · outbound

This paper cites BEOL stack-aware routability prediction from placement using data mining techniques,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning BEOL stack-aware routability prediction from placement using data mining techniques,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.483957Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee23e1d3-b614-4de6-a2d8-4cbcc483dc93 · outbound

This paper cites Transforming Global Routing Report into DRC Violation Map with Convolutional Neural Network,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Transforming Global Routing Report into DRC Violation Map with Convolutional Neural Network,

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:50:11.976445Z

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Observation 7d008069-a7d6-4884-887e-bdff3e6a4c59 · outbound

This paper cites RouteNet: Routability prediction for Mixed-Size Designs Using Convolutional Neural Network,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning RouteNet: Routability prediction for Mixed-Size Designs Using Convolutional Neural Network,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.469276Z

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Observation cc18f4c5-66fe-4646-8384-a2a547b23c25 · outbound

This paper cites Pin accessibility prediction and optimization with deep learning-based pin pattern recognition,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Pin accessibility prediction and optimization with deep learning-based pin pattern recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.454547Z

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Observation 5dffa3f9-ef17-4ade-8ab9-d153ada61f98 · outbound

This paper cites Eh-DRVP: Combining placement and global routing data in a hyper-image-based DRV predictor,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Eh-DRVP: Combining placement and global routing data in a hyper-image-based DRV predictor,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.439669Z

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Observation e5f09bbd-a5bd-4e19-a00c-fca4a5068de1 · outbound

This paper cites Pin Accessibility and Routing Congestion Aware DRC Hotspot Prediction for Designs in Advanced Technology Nodes With Consolidated Practical Applicability and Sustainability,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Pin Accessibility and Routing Congestion Aware DRC Hotspot Prediction for Designs in Advanced Technology Nodes With Consolidated Practical Applicability and Sustainability,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.425639Z

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Observation bd527001-c17f-45e9-8ba2-f7c6faa7d407 · outbound

This paper cites DRV Predic- tion Using Quantum-Classical Hybrid Convolutional Neural Network,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning DRV Predic- tion Using Quantum-Classical Hybrid Convolutional Neural Network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.410755Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8270fc83-bc10-4add-8683-fdfa88205ab9 · outbound

This paper cites DRC hotspot prediction at sub-10nm process nodes using customized convolutional network,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning DRC hotspot prediction at sub-10nm process nodes using customized convolutional network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.395905Z

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Observation 27ad3514-78c9-4102-8123-a3fca5c4a635 · outbound

This paper cites An Efficient Method of DRC Violation Prediction with a Serial Deep Learning Model,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning An Efficient Method of DRC Violation Prediction with a Serial Deep Learning Model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.380435Z

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Observation 8bfcfaf4-79a7-47d3-b6e5-403193b12873 · outbound

This paper cites Early Stage DRC Prediction Using Ensemble Machine Learn- ing Algorithms,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Early Stage DRC Prediction Using Ensemble Machine Learn- ing Algorithms,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.365498Z

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Observation 88f6946e-b3f4-497f-bd4f-2269b3eb2a84 · outbound

This paper cites Machine Learning based Routing Guide Generation and its Application to Design Rule Violation Reduction,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Machine Learning based Routing Guide Generation and its Application to Design Rule Violation Reduction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.350039Z

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Observation 705de92e-d8ed-4796-978b-892318685fbb · outbound

This paper cites Predicting DRC violations using ensem- ble random forest algorithm,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Predicting DRC violations using ensem- ble random forest algorithm,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.334430Z

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Observation 04f66031-aec8-4fa9-b374-2062081cd5fc · outbound

This paper cites Deep Image Segmentation for Defect Detection in Photo-lithography Fabrication,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Deep Image Segmentation for Defect Detection in Photo-lithography Fabrication,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.318663Z

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Observation 44172f00-8044-45a8-afb1-9c7604793682 · outbound

This paper cites Routability optimization for industrial designs at sub-14nm process nodes using machine learning,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Routability optimization for industrial designs at sub-14nm process nodes using machine learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.302628Z

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Observation 8fa514f2-209c-4764-bea0-55bbcc1a7197 · outbound

This paper cites A learning- based methodology for routability prediction in placement,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning A learning- based methodology for routability prediction in placement,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.287435Z

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Observation c7e88910-1f94-4aca-ad1a-187ac2fd7fca · outbound

This paper cites Detailed routing violation prediction during placement using machine learning,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Detailed routing violation prediction during placement using machine learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.271620Z

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Observation 41942a14-6e55-4051-acc5-edce84f1af25 · outbound

This paper cites BEOL stack-aware routability prediction from placement using data mining techniques,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning BEOL stack-aware routability prediction from placement using data mining techniques,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.256436Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91d67d24-e016-4b79-9d38-8af5136634fb · outbound

This paper cites A Machine Learning Framework to Identify De- tailed Routing Short Violations from a Placed Netlist,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning A Machine Learning Framework to Identify De- tailed Routing Short Violations from a Placed Netlist,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.241607Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8437512f-c9cf-40b9-9752-492c3d0f9492 · outbound

This paper cites GRANNITE: Graph neural network inference for transferable power estimation,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning GRANNITE: Graph neural network inference for transferable power estimation,

Reference 30

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Observation c233e20b-8aa9-4c75-9021-32c17303a9ef · outbound

This paper cites GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.216304Z

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Observation c4e35ca3-d974-4cb0-8006-f27c32dc0713 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning U-net: Convolutional networks for biomedical image segmentation,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:11.726076Z

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Observation d36fb93b-ea70-4c4b-83ca-b34858287b32 · outbound

This paper cites Deep Residual Learning for Image Recognition.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Deep Residual Learning for Image Recognition

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:11.730729Z

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Observation 9b3162a2-d92a-42fd-a70e-aa7311869e5c · outbound

This paper cites Low-power resonant clocking using soft error robust energy recovery flip-flops,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Low-power resonant clocking using soft error robust energy recovery flip-flops,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.189922Z

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Observation 5cab95f4-e1be-420c-8fbe-6ca11e272a4a · outbound

This paper cites Clock aware low power placement,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Clock aware low power placement,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.174596Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94395104-d625-45c3-b44a-056c91945161 · outbound

This paper cites Resonant Energy Recycling SRAM Architecture,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Resonant Energy Recycling SRAM Architecture,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.159886Z

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Observation eee92ba7-4f15-4830-8a56-148ddc1d01ae · outbound

This paper cites Islam,Current-Mode Clocking and Synthesis Considering Low-Power and Skew.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Islam,Current-Mode Clocking and Synthesis Considering Low-Power and Skew

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.145332Z

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Observation 215499a1-78b5-42be-bba8-0a6f0b69e020 · outbound

This paper cites ArXrCiM: Architec- tural Exploration of Application-Specific Resonant SRAM Compute-in- Memory,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning ArXrCiM: Architec- tural Exploration of Application-Specific Resonant SRAM Compute-in- Memory,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.129230Z

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Observation f6663dd0-e474-4b3f-bd30-33463a13e020 · outbound

This paper cites Deep learning-based chip power prediction and optimization: An intelligent EDA approach,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Deep learning-based chip power prediction and optimization: An intelligent EDA approach,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.112603Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7688fcf-5544-47be-8ca2-95b7834b6a4a · outbound

This paper cites Power and skew reduction using resonant energy recycling in 14-nm FinFET clocks,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Power and skew reduction using resonant energy recycling in 14-nm FinFET clocks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.097910Z

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Observation 9cf5ed8c-47a8-4cb5-af5a-eeee3330a09a · outbound

This paper cites TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.080462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3990d10-4e30-4e7d-a253-46dc58640c19 · outbound

This paper cites DCMCS: Highly robust low-power differential current-mode clocking and synthesis,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning DCMCS: Highly robust low-power differential current-mode clocking and synthesis,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.064974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8af965c-f52b-43a3-aa80-080fbb2ddba6 · outbound

This paper cites Restructure- Tolerant Timing Prediction via Multimodal Fusion,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Restructure- Tolerant Timing Prediction via Multimodal Fusion,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.049561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e3e37db-f540-45fc-96b4-23a172ae5516 · outbound

This paper cites Current-mode clock distribution,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Current-mode clock distribution,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:11.784494Z

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Observation 996d96e9-45d0-4db4-b449-0349ffc7d4a8 · outbound

This paper cites Casella and R.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning Casella and R

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.024566Z

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Observation 704fadcf-b6a4-45f1-ada4-ef8bf439e442 · outbound

This paper cites OpenCores: Open source IP-cores,.

PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning OpenCores: Open source IP-cores,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:50:12.008720Z

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