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/110411760629740566",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2023-05-22T10:02:45Z",
"url": "https://scipost.social/@physics/110411760629740566",
"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/110411760629740566",
"inReplyToAtomUri": null,
"conversation": "tag:scipost.social,2023-05-22:objectId=221208: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-inspired tempering for ground state approximation using artificial neural networks</p><p>Tameem Albash, Conor Smith, Quinn Campbell, Andrew D. Baczewski<br />SciPost Phys. 14, 121 (2023)<br /><a href=\"https://scipost.org/SciPostPhys.14.5.121\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">scipost.org/SciPostPhys.14.5.1</span><span class=\"invisible\">21</span></a></p><p><a href=\"https://scipost.social/tags/UNM\" class=\"mention hashtag\" rel=\"tag\">#<span>UNM</span></a> <a href=\"https://scipost.social/tags/SNL\" class=\"mention hashtag\" rel=\"tag\">#<span>SNL</span></a><br /><a href=\"https://scipost.social/tags/AFOSR\" class=\"mention hashtag\" rel=\"tag\">#<span>AFOSR</span></a> <a href=\"https://scipost.social/tags/NSF\" class=\"mention hashtag\" rel=\"tag\">#<span>NSF</span></a> <a href=\"https://scipost.social/tags/DOE\" class=\"mention hashtag\" rel=\"tag\">#<span>DOE</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-inspired tempering for ground state approximation using artificial neural networks</p><p>Tameem Albash, Conor Smith, Quinn Campbell, Andrew D. Baczewski<br />SciPost Phys. 14, 121 (2023)<br /><a href=\"https://scipost.org/SciPostPhys.14.5.121\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">scipost.org/SciPostPhys.14.5.1</span><span class=\"invisible\">21</span></a></p><p><a href=\"https://scipost.social/tags/UNM\" class=\"mention hashtag\" rel=\"tag\">#<span>UNM</span></a> <a href=\"https://scipost.social/tags/SNL\" class=\"mention hashtag\" rel=\"tag\">#<span>SNL</span></a><br /><a href=\"https://scipost.social/tags/AFOSR\" class=\"mention hashtag\" rel=\"tag\">#<span>AFOSR</span></a> <a href=\"https://scipost.social/tags/NSF\" class=\"mention hashtag\" rel=\"tag\">#<span>NSF</span></a> <a href=\"https://scipost.social/tags/DOE\" class=\"mention hashtag\" rel=\"tag\">#<span>DOE</span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://scipost.social/system/media_attachments/files/110/411/753/363/100/365/original/9c5a40ff20f18c59.png",
"name": null,
"blurhash": "U2S?DV.8IURPk@%MV@RjD,M_-ptR_1IT%MtR",
"width": 962,
"height": 656
}
],
"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/UNM",
"name": "#UNM"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/snl",
"name": "#snl"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/AFOSR",
"name": "#AFOSR"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/NSF",
"name": "#NSF"
},
{
"type": "Hashtag",
"href": "https://scipost.social/tags/doe",
"name": "#doe"
}
],
"replies": {
"id": "https://scipost.social/users/physics/statuses/110411760629740566/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://scipost.social/users/physics/statuses/110411760629740566/replies?only_other_accounts=true&page=true",
"partOf": "https://scipost.social/users/physics/statuses/110411760629740566/replies",
"items": []
}
}
}