Pith Number
pith:I6K4PE2E
pith:2017:I6K4PE2EP3M6IKPKEIDWOS22MC
not attested
not anchored
not stored
refs pending
How well can machine learning predict demographics of social media users?
arxiv:1702.01807 v2 · 2017-02-06 · cs.SI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I6K4PE2EP3M6IKPKEIDWOS22MC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:14:34.784848Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4795c793447ed9e429ea2207674b5a609e5e801548886c6c638964a8097371bf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I6K4PE2EP3M6IKPKEIDWOS22MC \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4795c793447ed9e429ea2207674b5a609e5e801548886c6c638964a8097371bf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e80986919a61e3c86712d61319277b46160605fc790824cbb12b66d71811410",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2017-02-06T22:19:58Z",
"title_canon_sha256": "84e2d763d0107076cf89fb9eb8ad5fc10402fff301bc95d38eaea3527054b1c0"
},
"schema_version": "1.0",
"source": {
"id": "1702.01807",
"kind": "arxiv",
"version": 2
}
}