Components

3 Twig Components
5 Render Count
2 ms Render Time
74.0 MiB Memory Usage

Components

Name Metadata Render Count Render Time
ProductState
"App\Twig\Components\ProductState"
components/ProductState.html.twig
2 0.56ms
ProductMostRecent
"App\Twig\Components\ProductMostRecent"
components/ProductMostRecent.html.twig
2 1.43ms
ProductType
"App\Twig\Components\ProductType"
components/ProductType.html.twig
1 0.24ms

Render calls

ProductState App\Twig\Components\ProductState 68.0 MiB 0.35 ms
Input props
[
  "product" => App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  "showFullLabel" => "true"
]
Attributes
[
  "showFullLabel" => "true"
]
Component
App\Twig\Components\ProductState {#92877
  +product: App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +appearance: "state-active"
  +labels: [
    "Active"
  ]
  -stateAttributeCode: "state"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductType App\Twig\Components\ProductType 68.0 MiB 0.24 ms
Input props
[
  "product" => App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
]
Attributes
[]
Component
App\Twig\Components\ProductType {#93055
  +product: App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +label: "Standard"
  -typeAttributeCode: "type"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductMostRecent App\Twig\Components\ProductMostRecent 68.0 MiB 0.73 ms
Input props
[
  "product" => App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
]
Attributes
[]
Component
App\Twig\Components\ProductMostRecent {#93122
  +product: App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +label: "Most Recent"
  +icon: "check-xs"
  -mostRecentAttributeCode: "most_recent"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductState App\Twig\Components\ProductState 74.0 MiB 0.21 ms
Input props
[
  "product" => App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  "showFullLabel" => "true"
]
Attributes
[
  "showFullLabel" => "true"
]
Component
App\Twig\Components\ProductState {#100050
  +product: App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +appearance: "state-active"
  +labels: [
    "Active"
  ]
  -stateAttributeCode: "state"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductMostRecent App\Twig\Components\ProductMostRecent 74.0 MiB 0.70 ms
Input props
[
  "product" => App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
]
Attributes
[]
Component
App\Twig\Components\ProductMostRecent {#100134
  +product: App\Entity\Product\Product {#7310
    #id: 13188
    #code: "IEEE00011382"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040937 {#7274
      date: 2025-06-27 18:15:37.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1754608190 {#7322
      date: 2025-08-08 01:09:50.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 47761
        #name: "IEEE 3410:2025"
        #slug: "ieee-p3410-ieee00011382-496262"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.<br />\n
          \t\t\t\t<br />\n
          This guide provides guidance of large scale Artificial Intelligence (AI) models in financial risk management. For the application of such models, the guide provides applicable scenarios, basic conditions, model creation, iterations, and suggested capabilities. The guide is specifically aimed at providing help to financial organizations by giving directions on planning, building, deploying, and maintaining these AI models, with respect to algorithms, in financial lending scenarios.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Draft Guide for Large Scale Financial Risk Models"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7311 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1754517600 {#7317
      date: 2025-08-07 00:00:00.0 Europe/Paris (+02:00)
    }
    -lastUpdatedAt: DateTime @1752616800 {#7292
      date: 2025-07-16 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1752789600 {#7318
      date: 2025-07-18 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3410"
    -bookCollection: ""
    -pageCount: 26
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +label: "Most Recent"
  +icon: "check-xs"
  -mostRecentAttributeCode: "most_recent"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}