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://ellis.social/users/nolovedeeplearning/statuses/111529044646779645/activity",
"type": "Create",
"actor": "https://ellis.social/users/nolovedeeplearning",
"published": "2023-12-05T17:42:46Z",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://ellis.social/users/nolovedeeplearning/followers"
],
"object": {
"id": "https://ellis.social/users/nolovedeeplearning/statuses/111529044646779645",
"type": "Note",
"summary": null,
"inReplyTo": "https://ellis.social/users/nolovedeeplearning/statuses/111529042110180175",
"published": "2023-12-05T17:42:46Z",
"url": "https://ellis.social/@nolovedeeplearning/111529044646779645",
"attributedTo": "https://ellis.social/users/nolovedeeplearning",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://ellis.social/users/nolovedeeplearning/followers"
],
"sensitive": false,
"atomUri": "https://ellis.social/users/nolovedeeplearning/statuses/111529044646779645",
"inReplyToAtomUri": "https://ellis.social/users/nolovedeeplearning/statuses/111529042110180175",
"conversation": "tag:ellis.social,2023-12-05:objectId=6705924:objectType=Conversation",
"content": "<p>GeKCs ensure that triples violating logical constraints will have zero probability. This means that only triples satisfying constraints can be predicted, as they will have positive probability. We build on top of recent breakthroughs in <a href=\"https://ellis.social/tags/NeurosymbolicAI\" class=\"mention hashtag\" rel=\"tag\">#<span>NeurosymbolicAI</span></a> (<a href=\"https://openreview.net/forum?id=o-mxIWAY1T8\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">openreview.net/forum?id=o-mxIW</span><span class=\"invisible\">AY1T8</span></a>)!</p>",
"contentMap": {
"en": "<p>GeKCs ensure that triples violating logical constraints will have zero probability. This means that only triples satisfying constraints can be predicted, as they will have positive probability. We build on top of recent breakthroughs in <a href=\"https://ellis.social/tags/NeurosymbolicAI\" class=\"mention hashtag\" rel=\"tag\">#<span>NeurosymbolicAI</span></a> (<a href=\"https://openreview.net/forum?id=o-mxIWAY1T8\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">openreview.net/forum?id=o-mxIW</span><span class=\"invisible\">AY1T8</span></a>)!</p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "video/mp4",
"url": "https://dmmkeb5lxvle4.cloudfront.net/media_attachments/files/111/529/044/246/927/506/original/9431605c1c7a8304.mp4",
"name": null,
"blurhash": "U4SF;L$y-Sxt?GR5RiRP$fRQMyR*~qx]V^NL",
"width": 1280,
"height": 640
}
],
"tag": [
{
"type": "Hashtag",
"href": "https://ellis.social/tags/neurosymbolicai",
"name": "#neurosymbolicai"
}
],
"replies": {
"id": "https://ellis.social/users/nolovedeeplearning/statuses/111529044646779645/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://ellis.social/users/nolovedeeplearning/statuses/111529044646779645/replies?min_id=111529052374037773&page=true",
"partOf": "https://ellis.social/users/nolovedeeplearning/statuses/111529044646779645/replies",
"items": [
"https://ellis.social/users/nolovedeeplearning/statuses/111529052374037773"
]
}
}
}
}