Pith Number
pith:4PWMSA7O
pith:2017:4PWMSA7OAI56XREMQ5G6A6CJ3S
not attested
not anchored
not stored
refs pending
On Predicting Geolocation of Tweets using Convolutional Neural Networks
arxiv:1704.05146 v1 · 2017-04-17 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4PWMSA7OAI56XREMQ5G6A6CJ3S}
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 | 2026-05-18T00:30:16.994554Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3ecc903ee023bebc48c874de07849dc90402254953b830ccac0f56bd9ebf057
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4PWMSA7OAI56XREMQ5G6A6CJ3S \
| 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: e3ecc903ee023bebc48c874de07849dc90402254953b830ccac0f56bd9ebf057
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "18b6f9c25272073554655cc04694348baae148cffd56e0cfd38dd7e10cc37949",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2017-04-17T23:18:17Z",
"title_canon_sha256": "af47e10361fc1b428e8aa0d880263a81e4c723a880d2ab7de9bcb94563f5bed8"
},
"schema_version": "1.0",
"source": {
"id": "1704.05146",
"kind": "arxiv",
"version": 1
}
}