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",
"Hashtag": "as:Hashtag"
}
],
"id": "https://sigmoid.social/users/rope/statuses/109738649308308193/replies",
"type": "Collection",
"first": {
"id": "https://sigmoid.social/users/rope/statuses/109738649308308193/replies?page=true",
"type": "CollectionPage",
"next": "https://sigmoid.social/users/rope/statuses/109738649308308193/replies?only_other_accounts=true&page=true",
"partOf": "https://sigmoid.social/users/rope/statuses/109738649308308193/replies",
"items": [
{
"id": "https://sigmoid.social/users/rope/statuses/109738651110395806",
"type": "Note",
"summary": null,
"inReplyTo": "https://sigmoid.social/users/rope/statuses/109738649308308193",
"published": "2023-01-23T13:02:09Z",
"url": "https://sigmoid.social/@rope/109738651110395806",
"attributedTo": "https://sigmoid.social/users/rope",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://sigmoid.social/users/rope/followers"
],
"sensitive": false,
"atomUri": "https://sigmoid.social/users/rope/statuses/109738651110395806",
"inReplyToAtomUri": "https://sigmoid.social/users/rope/statuses/109738649308308193",
"conversation": "tag:sigmoid.social,2023-01-23:objectId=5344355:objectType=Conversation",
"content": "<p>The same score can be derived for probabilistic circuits (PCs), or actually, for the sub-class of deterministic PCs! We use the score in a simple cutset learning algorithm and achieve excellent trade-offs between learning speed and test log-likelihoods.</p><p>Stay tuned for the paper, or catch up with us at <a href=\"https://sigmoid.social/tags/aistats23\" class=\"mention hashtag\" rel=\"tag\">#<span>aistats23</span></a> in April! 😀</p>",
"contentMap": {
"en": "<p>The same score can be derived for probabilistic circuits (PCs), or actually, for the sub-class of deterministic PCs! We use the score in a simple cutset learning algorithm and achieve excellent trade-offs between learning speed and test log-likelihoods.</p><p>Stay tuned for the paper, or catch up with us at <a href=\"https://sigmoid.social/tags/aistats23\" class=\"mention hashtag\" rel=\"tag\">#<span>aistats23</span></a> in April! 😀</p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/aistats23",
"name": "#aistats23"
}
],
"replies": {
"id": "https://sigmoid.social/users/rope/statuses/109738651110395806/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://sigmoid.social/users/rope/statuses/109738651110395806/replies?only_other_accounts=true&page=true",
"partOf": "https://sigmoid.social/users/rope/statuses/109738651110395806/replies",
"items": []
}
},
"likes": {
"id": "https://sigmoid.social/users/rope/statuses/109738651110395806/likes",
"type": "Collection",
"totalItems": 0
},
"shares": {
"id": "https://sigmoid.social/users/rope/statuses/109738651110395806/shares",
"type": "Collection",
"totalItems": 0
}
}
]
}
}