Lukas Böhme, Tobias Wuttke, Ralf Teusner, Michael Perscheid, Sebastian Baltes, Christoph Matthies, Benedict Bender
Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and small and medium-sized enterprises that grow quickly and require adaptable solutions with low barriers to entry. Drawing upon 15 explorative interviews with industry experts, we examine the challenges of current ERP systems using the task technology fit theory across companies of varying sizes. We describe high entry barriers, high costs of implementing implicit processes, and insufficient interoperability of already employed tools. We present a vision of a future business process platform based on three enablers: Business processes as first-class entities, semantic data and processes, and cloud-native elasticity and high availability. We discuss how these enablers address current ERP systems' challenges and how they may be used for research on the next generation of business software for tomorrow's enterprises.
{"title":"From Full-fledged ERP Systems Towards Process-centric Business Process Platforms","authors":"Lukas Böhme, Tobias Wuttke, Ralf Teusner, Michael Perscheid, Sebastian Baltes, Christoph Matthies, Benedict Bender","doi":"arxiv-2306.02995","DOIUrl":"https://doi.org/arxiv-2306.02995","url":null,"abstract":"Enterprise Resource Planning (ERP) systems are critical to the success of\u0000enterprises, facilitating business operations through standardized digital\u0000processes. However, existing ERP systems are unsuitable for startups and small\u0000and medium-sized enterprises that grow quickly and require adaptable solutions\u0000with low barriers to entry. Drawing upon 15 explorative interviews with\u0000industry experts, we examine the challenges of current ERP systems using the\u0000task technology fit theory across companies of varying sizes. We describe high\u0000entry barriers, high costs of implementing implicit processes, and insufficient\u0000interoperability of already employed tools. We present a vision of a future\u0000business process platform based on three enablers: Business processes as\u0000first-class entities, semantic data and processes, and cloud-native elasticity\u0000and high availability. We discuss how these enablers address current ERP\u0000systems' challenges and how they may be used for research on the next\u0000generation of business software for tomorrow's enterprises.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Filippo Mantovani, Pablo Vizcaino, Fabio Banchelli, Marta Garcia-Gasulla, Roger Ferrer, Giorgos Ieronymakis, Nikos Dimou, Vassilis Papaefstathiou, Jesus Labarta
Prototyping HPC systems with low-to-mid technology readiness level (TRL) systems is critical for providing feedback to hardware designers, the system software team (e.g., compiler developers), and early adopters from the scientific community. The typical approach to hardware design and HPC system prototyping often limits feedback or only allows it at a late stage. In this paper, we present a set of tools for co-designing HPC systems, called software development vehicles (SDV). We use an innovative RISC-V design as a demonstrator, which includes a scalar CPU and a vector processing unit capable of operating large vectors up to 16 kbits. We provide an incremental methodology and early tangible evidence of the co-design process that provide feedback to improve both architecture and system software at a very early stage of system development.
{"title":"Software Development Vehicles to enable extended and early co-design: a RISC-V and HPC case of study","authors":"Filippo Mantovani, Pablo Vizcaino, Fabio Banchelli, Marta Garcia-Gasulla, Roger Ferrer, Giorgos Ieronymakis, Nikos Dimou, Vassilis Papaefstathiou, Jesus Labarta","doi":"arxiv-2306.01797","DOIUrl":"https://doi.org/arxiv-2306.01797","url":null,"abstract":"Prototyping HPC systems with low-to-mid technology readiness level (TRL)\u0000systems is critical for providing feedback to hardware designers, the system\u0000software team (e.g., compiler developers), and early adopters from the\u0000scientific community. The typical approach to hardware design and HPC system\u0000prototyping often limits feedback or only allows it at a late stage. In this\u0000paper, we present a set of tools for co-designing HPC systems, called software\u0000development vehicles (SDV). We use an innovative RISC-V design as a\u0000demonstrator, which includes a scalar CPU and a vector processing unit capable\u0000of operating large vectors up to 16 kbits. We provide an incremental\u0000methodology and early tangible evidence of the co-design process that provide\u0000feedback to improve both architecture and system software at a very early stage\u0000of system development.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In sequential circuits, the current output may depend on both past and current inputs. However, certain kinds of sequential circuits do not refer to all of the past inputs to generate the current output; they only refer to a subset of past inputs. This paper investigates which subset of past inputs a sequential circuit refers to, and proposes a new classification of sequential circuits based on this criterion. The conventional classification of sequential circuits distinguishes between synchronous and asynchronous circuits. In contrast, the new classification consolidates synchronous circuits and multiple clock domain circuits into the same category.
{"title":"Classification of Sequential Circuits as Causal Functions","authors":"Shunji Nishimura","doi":"arxiv-2306.17583","DOIUrl":"https://doi.org/arxiv-2306.17583","url":null,"abstract":"In sequential circuits, the current output may depend on both past and\u0000current inputs. However, certain kinds of sequential circuits do not refer to\u0000all of the past inputs to generate the current output; they only refer to a\u0000subset of past inputs. This paper investigates which subset of past inputs a\u0000sequential circuit refers to, and proposes a new classification of sequential\u0000circuits based on this criterion. The conventional classification of sequential\u0000circuits distinguishes between synchronous and asynchronous circuits. In\u0000contrast, the new classification consolidates synchronous circuits and multiple\u0000clock domain circuits into the same category.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sebastian Fajardo, Paul R. B. Kozowyk, Geeske H. J. Langejans
We implement a method from computer sciences to address a challenge in Paleolithic archaeology: how to infer cognition differences from material culture. Archaeological material culture is linked to cognition: more complex ancient technologies are assumed to have required complex cognition. We present an application of Petri net analysis to compare Neanderthal tar production technologies and tie the results to cognitive requirements. We applied three complexity metrics, each relying on their own unique definitions of complexity, to the modelled production sequences. Based on the results, we suggest that Neanderthal working memory requirements may have been similar to human preferences regarding working memory use today. This method also enables us to distinguish the high-order cognitive functions combining traits like planning, inhibitory control, and learnings that were likely required by different ancient technological processes. The Petri net approach can contribute to our understanding of technology and cognitive evolution as it can be used on different materials and technologies, across time and species.
{"title":"Measuring ancient technological complexity and its cognitive implications using Petri nets","authors":"Sebastian Fajardo, Paul R. B. Kozowyk, Geeske H. J. Langejans","doi":"arxiv-2305.09751","DOIUrl":"https://doi.org/arxiv-2305.09751","url":null,"abstract":"We implement a method from computer sciences to address a challenge in\u0000Paleolithic archaeology: how to infer cognition differences from material\u0000culture. Archaeological material culture is linked to cognition: more complex\u0000ancient technologies are assumed to have required complex cognition. We present\u0000an application of Petri net analysis to compare Neanderthal tar production\u0000technologies and tie the results to cognitive requirements. We applied three\u0000complexity metrics, each relying on their own unique definitions of complexity,\u0000to the modelled production sequences. Based on the results, we suggest that\u0000Neanderthal working memory requirements may have been similar to human\u0000preferences regarding working memory use today. This method also enables us to\u0000distinguish the high-order cognitive functions combining traits like planning,\u0000inhibitory control, and learnings that were likely required by different\u0000ancient technological processes. The Petri net approach can contribute to our\u0000understanding of technology and cognitive evolution as it can be used on\u0000different materials and technologies, across time and species.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138542773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The electronic design industry has undergone a significant transformation, transitioning from traditional hand-drawn designs to modern automated design processes. While Computer-Aided Design (CAD) tools emerged alongside the electronic industry, the current building design process has little to no automation. There is a need for a unified platform to address the complexity of building design and provide a more systematic approach. Platform-based design (PBD), originally developed in the electronic industry, enables efficient design processes by promoting the reuse of hardware and software systems. It also facilitates design space exploration while optimizing performance. This paper proposes a modular approach that divides the building into various disciplines and introduces a design flow using the PBD framework to streamline the design process. We also present a case study that demonstrates the use of the PBD framework in the Heating, Ventilation, and Air Conditioning (HVAC) systems design.
{"title":"Toward Platform-based Building Design","authors":"Yu-Wen Lin, Tsz Ling Elaine Tang, Stefano Schiavon, Costas J. Spanos","doi":"arxiv-2305.10949","DOIUrl":"https://doi.org/arxiv-2305.10949","url":null,"abstract":"The electronic design industry has undergone a significant transformation,\u0000transitioning from traditional hand-drawn designs to modern automated design\u0000processes. While Computer-Aided Design (CAD) tools emerged alongside the\u0000electronic industry, the current building design process has little to no\u0000automation. There is a need for a unified platform to address the complexity of\u0000building design and provide a more systematic approach. Platform-based design\u0000(PBD), originally developed in the electronic industry, enables efficient\u0000design processes by promoting the reuse of hardware and software systems. It\u0000also facilitates design space exploration while optimizing performance. This\u0000paper proposes a modular approach that divides the building into various\u0000disciplines and introduces a design flow using the PBD framework to streamline\u0000the design process. We also present a case study that demonstrates the use of\u0000the PBD framework in the Heating, Ventilation, and Air Conditioning (HVAC)\u0000systems design.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu-Wen Lin, Tsz Ling Elaine Tang, Alberto L. Sangiovanni-Vincentelli, Stefano Schiavon, Costas J. Spanos
Design automation, which involves the use of software tools and technologies to streamline the design process, has been widely adopted in the electronics industry, resulting in significant advancements in product development and manufacturing. However, building design, which involves the creation of complex structures and systems, has traditionally lagged behind in leveraging design automation technologies. Despite extensive research on design automation in the building industry, its application in the current design of buildings is limited. This paper aims to (1) compare the design processes between electronics and building design, (2) highlight similarities and differences in their approaches, and (3) examine challenges and opportunities associated with bringing the concept of design automation from electronics to building design.
{"title":"From Electronic Design Automation to Building Design Automation: Challenges and Opportunities","authors":"Yu-Wen Lin, Tsz Ling Elaine Tang, Alberto L. Sangiovanni-Vincentelli, Stefano Schiavon, Costas J. Spanos","doi":"arxiv-2305.06380","DOIUrl":"https://doi.org/arxiv-2305.06380","url":null,"abstract":"Design automation, which involves the use of software tools and technologies\u0000to streamline the design process, has been widely adopted in the electronics\u0000industry, resulting in significant advancements in product development and\u0000manufacturing. However, building design, which involves the creation of complex\u0000structures and systems, has traditionally lagged behind in leveraging design\u0000automation technologies. Despite extensive research on design automation in the\u0000building industry, its application in the current design of buildings is\u0000limited. This paper aims to (1) compare the design processes between\u0000electronics and building design, (2) highlight similarities and differences in\u0000their approaches, and (3) examine challenges and opportunities associated with\u0000bringing the concept of design automation from electronics to building design.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic
Consider the problem of reducing the time needed by healthcare professionals to understand patient medical history via the next generation of biomedical decision support. This problem is societally important because it has the potential to improve healthcare quality and patient outcomes. However, it is challenging due to the high patient-doctor ratio, the potential long medical histories, the urgency of treatment for some medical conditions, and patient variability. The current system provides a longitudinal view of patient medical history, which is time-consuming to browse, and doctors often need to engage nurses, residents, and others for initial analysis. To overcome this limitation, our vision, Atlas EHR, is an alternative spatial representation of patients' histories (e.g., electronic health records (EHRs)) and other biomedical data. Just like Google Maps allows a global, national, regional, and local view, the Atlas-EHR may start with the overview of the patient's anatomy and history before drilling down to spatially anatomical sub-systems, their individual components, or sub-components. It will also use thoughtful cartography (e.g., urgency color, disease icons, and symbols) to highlight critical information for improving task efficiency and decision quality, analogous to how it is used in designing task-specific maps. Atlas-EHR presents a compelling opportunity for spatial computing since health is almost a fifth of the US economy. However, the traditional spatial computing designed for geographic use cases (e.g., navigation, land survey, mapping) faces many hurdles in the biomedical domain, presenting several research questions. This paper presents some open research questions under this theme in broad areas of spatial computing.
{"title":"Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision","authors":"Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic","doi":"arxiv-2305.09675","DOIUrl":"https://doi.org/arxiv-2305.09675","url":null,"abstract":"Consider the problem of reducing the time needed by healthcare professionals\u0000to understand patient medical history via the next generation of biomedical\u0000decision support. This problem is societally important because it has the\u0000potential to improve healthcare quality and patient outcomes. However, it is\u0000challenging due to the high patient-doctor ratio, the potential long medical\u0000histories, the urgency of treatment for some medical conditions, and patient\u0000variability. The current system provides a longitudinal view of patient medical\u0000history, which is time-consuming to browse, and doctors often need to engage\u0000nurses, residents, and others for initial analysis. To overcome this\u0000limitation, our vision, Atlas EHR, is an alternative spatial representation of\u0000patients' histories (e.g., electronic health records (EHRs)) and other\u0000biomedical data. Just like Google Maps allows a global, national, regional, and\u0000local view, the Atlas-EHR may start with the overview of the patient's anatomy\u0000and history before drilling down to spatially anatomical sub-systems, their\u0000individual components, or sub-components. It will also use thoughtful\u0000cartography (e.g., urgency color, disease icons, and symbols) to highlight\u0000critical information for improving task efficiency and decision quality,\u0000analogous to how it is used in designing task-specific maps. Atlas-EHR presents\u0000a compelling opportunity for spatial computing since health is almost a fifth\u0000of the US economy. However, the traditional spatial computing designed for\u0000geographic use cases (e.g., navigation, land survey, mapping) faces many\u0000hurdles in the biomedical domain, presenting several research questions. This\u0000paper presents some open research questions under this theme in broad areas of\u0000spatial computing.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crafting, adhering to, and maintaining standards is an ongoing challenge. This paper uses a framework based on common models to explore the standard problem: the impossibility of creating, implementing or maintain definitive common models in an open system. The problem arises from uncertainty driven by variations in operating context, standard quality, differences in implementation, and drift over time. Fitting work by conformance services repairs these gaps between a standard and what is required for interoperation, using several strategies: (a) Universal conformance (all agents access the same standard); (b) Mediated conformance (an interoperability layer supports heterogeneous agents) and (c) Localized conformance, (autonomous adaptive agents manage their own needs). Conformance methods include incremental design, modular design, adaptors, and creating interactive and adaptive agents. Machine learning should have a major role in adaptive fitting. Choosing a conformance service depends on the stability and homogeneity of shared tasks, and whether common models are shared ahead of time or are adjusted at task time. This analysis thus decouples interoperability and standardization. While standards facilitate interoperability, interoperability is achievable without standardization.
{"title":"The Standard Problem","authors":"Enrico Coiera","doi":"arxiv-2304.09114","DOIUrl":"https://doi.org/arxiv-2304.09114","url":null,"abstract":"Crafting, adhering to, and maintaining standards is an ongoing challenge.\u0000This paper uses a framework based on common models to explore the standard\u0000problem: the impossibility of creating, implementing or maintain definitive\u0000common models in an open system. The problem arises from uncertainty driven by\u0000variations in operating context, standard quality, differences in\u0000implementation, and drift over time. Fitting work by conformance services\u0000repairs these gaps between a standard and what is required for interoperation,\u0000using several strategies: (a) Universal conformance (all agents access the same\u0000standard); (b) Mediated conformance (an interoperability layer supports\u0000heterogeneous agents) and (c) Localized conformance, (autonomous adaptive\u0000agents manage their own needs). Conformance methods include incremental design,\u0000modular design, adaptors, and creating interactive and adaptive agents. Machine\u0000learning should have a major role in adaptive fitting. Choosing a conformance\u0000service depends on the stability and homogeneity of shared tasks, and whether\u0000common models are shared ahead of time or are adjusted at task time. This\u0000analysis thus decouples interoperability and standardization. While standards\u0000facilitate interoperability, interoperability is achievable without\u0000standardization.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For the first time, the repeated wear phenomenon of high-frequency power failure on the data block area in intermittent computing file system is found. A method to improve NVM wear in ICFS under high-frequency power failure scenarios is proposed.
{"title":"Manuscript of a method for improving wear in intermittently computing file systems","authors":"Yeteng Liao, Han wang","doi":"arxiv-2304.05399","DOIUrl":"https://doi.org/arxiv-2304.05399","url":null,"abstract":"For the first time, the repeated wear phenomenon of high-frequency power\u0000failure on the data block area in intermittent computing file system is found.\u0000A method to improve NVM wear in ICFS under high-frequency power failure\u0000scenarios is proposed.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Are you an AI researcher at an academic institution? Are you anxious you are not coping with the current pace of AI advancements? Do you feel you have no (or very limited) access to the computational and human resources required for an AI research breakthrough? You are not alone; we feel the same way. A growing number of AI academics can no longer find the means and resources to compete at a global scale. This is a somewhat recent phenomenon, but an accelerating one, with private actors investing enormous compute resources into cutting edge AI research. Here, we discuss what you can do to stay competitive while remaining an academic. We also briefly discuss what universities and the private sector could do improve the situation, if they are so inclined. This is not an exhaustive list of strategies, and you may not agree with all of them, but it serves to start a discussion.
{"title":"Choose Your Weapon: Survival Strategies for Depressed AI Academics","authors":"Julian Togelius, Georgios N. Yannakakis","doi":"arxiv-2304.06035","DOIUrl":"https://doi.org/arxiv-2304.06035","url":null,"abstract":"Are you an AI researcher at an academic institution? Are you anxious you are\u0000not coping with the current pace of AI advancements? Do you feel you have no\u0000(or very limited) access to the computational and human resources required for\u0000an AI research breakthrough? You are not alone; we feel the same way. A growing\u0000number of AI academics can no longer find the means and resources to compete at\u0000a global scale. This is a somewhat recent phenomenon, but an accelerating one,\u0000with private actors investing enormous compute resources into cutting edge AI\u0000research. Here, we discuss what you can do to stay competitive while remaining\u0000an academic. We also briefly discuss what universities and the private sector\u0000could do improve the situation, if they are so inclined. This is not an\u0000exhaustive list of strategies, and you may not agree with all of them, but it\u0000serves to start a discussion.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138522015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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