Pith Number
pith:TZQSV3VZ
pith:2015:TZQSV3VZUSQWDVUAB5PMLBOT35
not attested
not anchored
not stored
refs pending
Using Twitter to Predict Sales: A Case Study
arxiv:1503.04599 v1 · 2015-03-16 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TZQSV3VZUSQWDVUAB5PMLBOT35}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T02:23:24.569074Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e612aeeb9a4a161d6800f5ec585d3df48d49ade9b9bfab1e2819e98295ead7d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TZQSV3VZUSQWDVUAB5PMLBOT35 \
| 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: 9e612aeeb9a4a161d6800f5ec585d3df48d49ade9b9bfab1e2819e98295ead7d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fdb03b23854b73deeb995ea918244326d5ad8c284d30dcfde4b3696ec4eed359",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2015-03-16T10:52:38Z",
"title_canon_sha256": "2dab19dd963d0637a075b05b4815c275b7ea866b483115feeb182b989f91ea67"
},
"schema_version": "1.0",
"source": {
"id": "1503.04599",
"kind": "arxiv",
"version": 1
}
}