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/111970300948014976",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-02-21T16:00:03Z",
"url": "https://scipost.social/@physics/111970300948014976",
"attributedTo": "https://scipost.social/users/physics",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://scipost.social/users/physics/followers",
"https://xn--baw-joa.social/users/uniheidelberg",
"https://bird.makeup/users/sorbonne_univ_"
],
"sensitive": false,
"atomUri": "https://scipost.social/users/physics/statuses/111970300948014976",
"inReplyToAtomUri": null,
"conversation": "tag:scipost.social,2024-02-21:objectId=429444: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> Core</p><p>An unfolding method based on conditional invertible neural networks (cINN) using iterative training</p><p>Mathias Backes, Anja Butter, Monica Dunford, Bogdan Malaescu<br />SciPost Phys. Core 7, 007 (2024)<br /><a href=\"https://scipost.org/SciPostPhysCore.7.1.007\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">scipost.org/SciPostPhysCore.7.</span><span class=\"invisible\">1.007</span></a></p><p><span class=\"h-card\"><a href=\"https://xn--baw-joa.social/@uniheidelberg\" class=\"u-url mention\">@<span>uniheidelberg</span></a></span> <span class=\"h-card\"><a href=\"https://bird.makeup/users/sorbonne_univ_\" class=\"u-url mention\">@<span>sorbonne_univ_</span></a></span><br /><a href=\"https://scipost.social/tags/ParisUniversity\" class=\"mention hashtag\" rel=\"tag\">#<span>ParisUniversity</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> Core</p><p>An unfolding method based on conditional invertible neural networks (cINN) using iterative training</p><p>Mathias Backes, Anja Butter, Monica Dunford, Bogdan Malaescu<br />SciPost Phys. Core 7, 007 (2024)<br /><a href=\"https://scipost.org/SciPostPhysCore.7.1.007\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">scipost.org/SciPostPhysCore.7.</span><span class=\"invisible\">1.007</span></a></p><p><span class=\"h-card\"><a href=\"https://xn--baw-joa.social/@uniheidelberg\" class=\"u-url mention\">@<span>uniheidelberg</span></a></span> <span class=\"h-card\"><a href=\"https://bird.makeup/users/sorbonne_univ_\" class=\"u-url mention\">@<span>sorbonne_univ_</span></a></span><br /><a href=\"https://scipost.social/tags/ParisUniversity\" class=\"mention hashtag\" rel=\"tag\">#<span>ParisUniversity</span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://scipost.social/system/media_attachments/files/111/970/298/435/949/601/original/e4ee7691c89d4a97.png",
"name": null,
"blurhash": "UQRfa=bcxtn$lobHWBj[IUWVWBoerqfQaya{",
"width": 1912,
"height": 1030
}
],
"tag": [
{
"type": "Mention",
"href": "https://xn--baw-joa.social/users/uniheidelberg",
"name": "@uniheidelberg@xn--baw-joa.social"
},
{
"type": "Mention",
"href": "https://bird.makeup/users/sorbonne_univ_",
"name": "@sorbonne_univ_@bird.makeup"
},
{
"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/ParisUniversity",
"name": "#ParisUniversity"
}
],
"replies": {
"id": "https://scipost.social/users/physics/statuses/111970300948014976/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://scipost.social/users/physics/statuses/111970300948014976/replies?only_other_accounts=true&page=true",
"partOf": "https://scipost.social/users/physics/statuses/111970300948014976/replies",
"items": []
}
}
}