Pith Number
pith:BBJ2DKTV
pith:2017:BBJ2DKTV46QYW6X6PTQFWLZI6W
not attested
not anchored
not stored
refs pending
Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions
arxiv:1708.08000 v1 · 2017-08-26 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BBJ2DKTV46QYW6X6PTQFWLZI6W}
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 | 2026-05-18T00:27:04.520465Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0853a1aa75e7a18b7afe7ce05b2f28f59a0e0c38e686ed02c0fee0451766ace2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BBJ2DKTV46QYW6X6PTQFWLZI6W \
| 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: 0853a1aa75e7a18b7afe7ce05b2f28f59a0e0c38e686ed02c0fee0451766ace2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e4a8e61f18b8bd87042d6de6eb18fac972d46b687b5b8a0865a149489d279cee",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2017-08-26T17:48:20Z",
"title_canon_sha256": "926459cbee3f818300ce8b6706bafd7482def19a7bd7128d43b171f8fdc186aa"
},
"schema_version": "1.0",
"source": {
"id": "1708.08000",
"kind": "arxiv",
"version": 1
}
}