A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"blurhash": "toot:blurhash",
"focalPoint": {
"@container": "@list",
"@id": "toot:focalPoint"
},
"Hashtag": "as:Hashtag"
}
],
"id": "https://scipost.social/users/physics/statuses/110389174699499129",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2023-05-18T10:18:51Z",
"url": "https://scipost.social/@physics/110389174699499129",
"attributedTo": "https://scipost.social/users/physics",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://scipost.social/users/physics/followers"
],
"sensitive": false,
"atomUri": "https://scipost.social/users/physics/statuses/110389174699499129",
"inReplyToAtomUri": null,
"conversation": "tag:scipost.social,2023-05-18:objectId=219216:objectType=Conversation",
"content": "<p>New <a href=\"https://scipost.social/tags/openaccess\" class=\"mention hashtag\" rel=\"tag\">#<span>openaccess</span></a> publication <a href=\"https://scipost.social/tags/SciPost\" class=\"mention hashtag\" rel=\"tag\">#<span>SciPost</span></a> <a href=\"https://scipost.social/tags/Physics\" class=\"mention hashtag\" rel=\"tag\">#<span>Physics</span></a> </p><p>Quantum annealing for neural network optimization problems: A new approach via tensor network simulations</p><p>Guglielmo Lami, Pietro Torta, Giuseppe E. Santoro, Mario Collura<br />SciPost Phys. 14, 117 (2023)<br /><a href=\"https://scipost.org/SciPostPhys.14.5.117\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">scipost.org/SciPostPhys.14.5.1</span><span class=\"invisible\">17</span></a></p><p><a href=\"https://scipost.social/tags/SISSA\" class=\"mention hashtag\" rel=\"tag\">#<span>SISSA</span></a> <a href=\"https://scipost.social/tags/ICTP\" class=\"mention hashtag\" rel=\"tag\">#<span>ICTP</span></a> <a href=\"https://scipost.social/tags/IOM\" class=\"mention hashtag\" rel=\"tag\">#<span>IOM</span></a> <br /><a href=\"https://scipost.social/tags/INFNTrieste\" class=\"mention hashtag\" rel=\"tag\">#<span>INFNTrieste</span></a><br /><a href=\"https://scipost.social/tags/Horizon2020\" class=\"mention hashtag\" rel=\"tag\">#<span>Horizon2020</span></a> <a href=\"https://scipost.social/tags/EC\" class=\"mention hashtag\" rel=\"tag\">#<span>EC</span></a></p>",
"contentMap": {
"en": "<p>New <a href=\"https://scipost.social/tags/openaccess\" class=\"mention hashtag\" rel=\"tag\">#<span>openaccess</span></a> publication <a href=\"https://scipost.social/tags/SciPost\" class=\"mention hashtag\" rel=\"tag\">#<span>SciPost</span></a> <a href=\"https://scipost.social/tags/Physics\" class=\"mention hashtag\" rel=\"tag\">#<span>Physics</span></a> </p><p>Quantum annealing for neural network optimization problems: A new approach via tensor network simulations</p><p>Guglielmo Lami, Pietro Torta, Giuseppe E. Santoro, Mario Collura<br />SciPost Phys. 14, 117 (2023)<br /><a href=\"https://scipost.org/SciPostPhys.14.5.117\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">scipost.org/SciPostPhys.14.5.1</span><span class=\"invisible\">17</span></a></p><p><a href=\"https://scipost.social/tags/SISSA\" class=\"mention hashtag\" rel=\"tag\">#<span>SISSA</span></a> <a href=\"https://scipost.social/tags/ICTP\" class=\"mention hashtag\" rel=\"tag\">#<span>ICTP</span></a> <a href=\"https://scipost.social/tags/IOM\" class=\"mention hashtag\" rel=\"tag\">#<span>IOM</span></a> <br /><a href=\"https://scipost.social/tags/INFNTrieste\" class=\"mention hashtag\" rel=\"tag\">#<span>INFNTrieste</span></a><br /><a href=\"https://scipost.social/tags/Horizon2020\" class=\"mention hashtag\" rel=\"tag\">#<span>Horizon2020</span></a> <a href=\"https://scipost.social/tags/EC\" class=\"mention hashtag\" rel=\"tag\">#<span>EC</span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://scipost.social/system/media_attachments/files/110/389/156/235/361/198/original/ec750e3eefd46c88.png",
"name": null,
"blurhash": "URQv?xWByCRjV[oyoyaf?[oyVtaztQWBaLfj",
"width": 1024,
"height": 728
}
],
"tag": [
{
"type": "Hashtag",
"href": "https://scipost.social/tags/openaccess",
"name": "#openaccess"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/SciPost",
"name": "#SciPost"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/physics",
"name": "#physics"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/SISSA",
"name": "#SISSA"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/ICTP",
"name": "#ICTP"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/IOM",
"name": "#IOM"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/INFNTrieste",
"name": "#INFNTrieste"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/Horizon2020",
"name": "#Horizon2020"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/ec",
"name": "#ec"
}
],
"replies": {
"id": "https://scipost.social/users/physics/statuses/110389174699499129/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://scipost.social/users/physics/statuses/110389174699499129/replies?only_other_accounts=true&page=true",
"partOf": "https://scipost.social/users/physics/statuses/110389174699499129/replies",
"items": []
}
}
}