Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:06:01.554032Z
Paper Citation Record · LEDGER
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems
As of 20 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2506.03450.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact10
- verified fuzzy39
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fc0f8a93-546c-472e-a99e-60f4e76e4504 · outbound
This paper cites SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.270238Z
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 a705cc82-6b7d-4168-90e3-121220ad8b71 · outbound
This paper cites A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs),.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs),
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.258790Z
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 44d50dd2-c722-4733-9b4d-1fed75c6413c · outbound
This paper cites Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.245875Z
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 dbfb302d-50c9-434c-ba1f-092ab6feb2f5 · outbound
This paper cites Gyro: A Digital Spiking Neural Network Architecture for Multi-Sensory Data Analytics,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Gyro: A Digital Spiking Neural Network Architecture for Multi-Sensory Data Analytics,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.232635Z
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 2e437113-3051-4fb1-96d9-ae73efaef741 · outbound
This paper cites Accelerated Analog Neuromorphic Computing.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Accelerated Analog Neuromorphic Computing
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.816678Z
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 f322f470-855d-4e1b-b9c8-cd5a8a1a1612 · outbound
This paper cites Lava Software Framework — Lava documentation.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Lava Software Framework — Lava documentation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.220891Z
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 e4edb763-fd36-47a9-9739-ad7239df6dce · outbound
This paper cites PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.799803Z
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 90547db1-47fe-443c-88ca-1e7e06168208 · outbound
This paper cites Nengo: a Python tool for building large-scale functional brain models,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Nengo: a Python tool for building large-scale functional brain models,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.208537Z
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 72776e93-80f4-4a50-94d8-f3f6f77ed96b · outbound
This paper cites Networks of spiking neurons: The third generation of neural network models,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Networks of spiking neurons: The third generation of neural network models,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.196485Z
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 6914edcc-e6dc-4359-8a61-10c09e451e33 · outbound
This paper cites Towards artificial general intelligence with hybrid Tianjic chip architecture,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Towards artificial general intelligence with hybrid Tianjic chip architecture,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.186276Z
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 88340813-60ee-4b3e-86d7-3389289d1b3d · outbound
This paper cites Darwin: A neuromorphic hardware co-processor based on spiking neural networks,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Darwin: A neuromorphic hardware co-processor based on spiking neural networks,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.175330Z
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 01b5b8ba-d708-419e-8ab7-fa398195d547 · outbound
This paper cites sPyNNaker: A Software Package for Running PyNN Simulations on SpiNNaker,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems sPyNNaker: A Software Package for Running PyNN Simulations on SpiNNaker,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.165934Z
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 a24185a2-5aad-48d6-b9bd-0bb2c46cd68c · outbound
This paper cites Mapping Spiking Neural Networks to Neuromorphic Hardware,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Mapping Spiking Neural Networks to Neuromorphic Hardware,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.156148Z
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 f077d744-caf9-4aea-83e4-a1663619e9de · outbound
This paper cites DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.783473Z
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 db07958a-dd77-47d2-8870-d8ac8d481897 · outbound
This paper cites Deep Spiking Networks.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Deep Spiking Networks
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.769114Z
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 e9cf6b80-fd3a-4b04-a2bd-d5c8880ed5a2 · outbound
This paper cites Going Deeper With Directly-Trained Larger Spiking Neural Networks.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Going Deeper With Directly-Trained Larger Spiking Neural Networks
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.754389Z
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 2545957c-d4a0-40ed-a3cb-2d9ff89f7900 · outbound
This paper cites Spiking Deep Residual Network,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Spiking Deep Residual Network,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.145563Z
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 2b49777e-f236-4240-8b25-2790d1463ec5 · outbound
This paper cites Deep Residual Learning for Image Recognition.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Deep Residual Learning for Image Recognition
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:06:00.928647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 263df979-8731-47f2-b16a-2ec9080aacfa · outbound
This paper cites SENSIM: An Event- driven Parallel Simulator for Multi-core Neuromorphic Systems,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems SENSIM: An Event- driven Parallel Simulator for Multi-core Neuromorphic Systems,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.133926Z
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 82775c19-f15f-456c-9a8b-87de72f7d64a · outbound
This paper cites Yousefzadeh, G.-J.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Yousefzadeh, G.-J
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.122891Z
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 b0582845-6fad-47aa-87f5-70e381d9b85c · outbound
This paper cites SENECA: building a fully digital neuromorphic processor, design trade- offs and challenges,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems SENECA: building a fully digital neuromorphic processor, design trade- offs and challenges,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.111536Z
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 e0085244-80a7-4dc7-9dba-dfd757c8a611 · outbound
This paper cites Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.697132Z
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 f9691285-6626-4d4a-ab92-e6495ca91c9c · outbound
This paper cites Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.100074Z
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 a10e26b7-b4aa-488b-9248-cd512970eead · outbound
This paper cites CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.088366Z
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 84730157-d6ed-42b1-bc9d-f9d916fc88d8 · outbound
This paper cites Mapping spiking neural networks onto a manycore neuromorphic architecture,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Mapping spiking neural networks onto a manycore neuromorphic architecture,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.076804Z
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 2f80fbe2-d418-451d-b3f5-d02c39bd5a8f · outbound
This paper cites SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems SNEAP: A Fast and Efficient Toolchain for Mapping Large-Scale Spiking Neural Network onto NoC-based Neuromorphic Platform
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.672674Z
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 2ed971d0-d776-4557-b590-6a1e73ef37b4 · outbound
This paper cites Mapping Deep Neural Networks on SpiNNaker2,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Mapping Deep Neural Networks on SpiNNaker2,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.065543Z
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 8326bda5-341f-4069-8791-c01ec64eac61 · outbound
This paper cites Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.650653Z
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 b10d8b28-66ab-4e28-a475-768498be007a · outbound
This paper cites Compiling Spiking Neural Networks to Neuromorphic Hardware.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Compiling Spiking Neural Networks to Neuromorphic Hardware
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.626089Z
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 7209b07a-6b27-48f2-ba4f-4c47ffa20e82 · outbound
This paper cites Mapping of Spiking Neural Network Topologies on Neuromorphic Hardware|TU Delft Repository,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Mapping of Spiking Neural Network Topologies on Neuromorphic Hardware|TU Delft Repository,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.055292Z
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 f41a2a7f-a033-41f6-85f4-f326189e67a8 · outbound
This paper cites Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.044797Z
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 7e6f79ee-cbb4-4676-ab3b-a4d3e0ded650 · outbound
This paper cites Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Optimal Mapping of Spiking Neural Network to Neuromorphic Hardware for Edge-AI,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.033949Z
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 8a433e11-7f3e-4054-9321-6ffda7410b45 · outbound
This paper cites Mapping Very Large Scale Spiking Neuron Network to Neuromorphic Hardware,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Mapping Very Large Scale Spiking Neuron Network to Neuromorphic Hardware,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.022132Z
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 08bc033b-81d0-4a89-81a1-f42483fed388 · outbound
This paper cites R-MaS3N: Robust Mapping of Spiking Neural Networks to 3D-NoC-Based Neuromorphic Systems for Enhanced Reliability,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems R-MaS3N: Robust Mapping of Spiking Neural Networks to 3D-NoC-Based Neuromorphic Systems for Enhanced Reliability,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:02.009710Z
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 e280fffa-3c8e-43c5-bede-277f54f9bd9f · outbound
This paper cites EdgeMap: An Optimized Mapping Toolchain for Spiking Neural Network in Edge Computing,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems EdgeMap: An Optimized Mapping Toolchain for Spiking Neural Network in Edge Computing,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.997408Z
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 7beb55bf-bc76-4894-bf28-28b5dcae8f70 · outbound
This paper cites Pymoo: Multi-Objective Optimization in Python,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Pymoo: Multi-Objective Optimization in Python,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.986359Z
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 4f506609-eb17-4c52-9c04-063174d7b979 · outbound
This paper cites Search biases in constrained evolutionary optimization,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Search biases in constrained evolutionary optimization,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.975891Z
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 80f0d398-ba03-46fd-90a3-aa7d361a792b · outbound
This paper cites Reference Point Based NSGA-III for Preferred Solutions,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Reference Point Based NSGA-III for Preferred Solutions,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.965577Z
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 2c8beba8-6e59-404d-a927-1931328a16a9 · outbound
This paper cites MOEA/D: A Multiobjective Evolu- tionary Algorithm Based on Decomposition.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems MOEA/D: A Multiobjective Evolu- tionary Algorithm Based on Decomposition
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.955213Z
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 debfd9c8-cb91-4438-a80c-166153cb1c11 · outbound
This paper cites jMetalPy: A Python framework for multi-objective opti- mization with metaheuristics,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems jMetalPy: A Python framework for multi-objective opti- mization with metaheuristics,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.944125Z
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 89aae513-7c32-4539-adab-2b6d2cf6b3b5 · outbound
This paper cites A parallel global multiobjective framework for optimization: pagmo,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems A parallel global multiobjective framework for optimization: pagmo,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.933173Z
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 5b0e6c4c-3f82-4df1-b14f-55b21ba2b2c9 · outbound
This paper cites Open BEAGLE: a new C++ Evolutionary Computation framework,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Open BEAGLE: a new C++ Evolutionary Computation framework,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.921095Z
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 a0e6c935-0f1a-4c61-95b7-81cf9b91b51d · outbound
This paper cites Opt4J: a modular framework for meta-heuristic optimization,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Opt4J: a modular framework for meta-heuristic optimization,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.907992Z
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 07a1576f-90a8-4d4c-ab67-031901d65c5c · outbound
This paper cites Efficient mapping of large scale SNN and rate-based DNN on SENeCA|TU Delft Repository.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Efficient mapping of large scale SNN and rate-based DNN on SENeCA|TU Delft Repository
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.896506Z
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 b38fce92-0532-4192-b048-4696c3835d31 · outbound
This paper cites Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.883863Z
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 6aa90141-f718-48dc-8771-856e52a9e3c1 · outbound
This paper cites Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:06:01.537428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25281cbe-a748-4c5b-9211-47511c7d910f · outbound
This paper cites Particle swarm optimization,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Particle swarm optimization,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.871809Z
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 3a3d9e3b-7247-4468-8581-083eb7fcbaea · outbound
This paper cites Dask: Parallel Computation with Blocked algorithms and Task Scheduling,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Dask: Parallel Computation with Blocked algorithms and Task Scheduling,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.860895Z
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 71ff4208-51c0-4b36-a87e-ed3b0f88615e · outbound
This paper cites End to End Learning for Self-Driving Cars.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems End to End Learning for Self-Driving Cars
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:06:01.547510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02446c46-5a77-4e09-b40c-9efa27158dab · outbound
This paper cites Simple Explanation of the No-Free-Lunch Theorem and Its Implications,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Simple Explanation of the No-Free-Lunch Theorem and Its Implications,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.848970Z
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 9fa51d10-f400-4e63-8c2e-706c37e0867c · outbound
This paper cites Challenges and recent prospectives of 3D heterogeneous integration,.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Challenges and recent prospectives of 3D heterogeneous integration,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:06:01.838495Z
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 a04c2497-51a8-4fe3-8d39-040625d85292 · outbound
This paper cites SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:05:59.354087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0120cf0b-8f3c-40f7-8c05-d66c64ae5ab2 · outbound
This paper cites Spiking Deep Residual Network.
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems Spiking Deep Residual Network
Reference 2020
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:06:01.733970Z
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.
Pith citing papers
No inbound Pith citation observations are available.