Pith Number
pith:GBXFSLLJ
pith:2019:GBXFSLLJYDD3N56V3XGXPJUM7Z
not attested
not anchored
not stored
refs pending
Infringement of Tweets Geo-Location Privacy: an approach based on Graph Convolutional Neural Networks
arxiv:1903.11206 v1 · 2019-03-27 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GBXFSLLJYDD3N56V3XGXPJUM7Z}
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 | 2026-05-17T23:50:03.892630Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
306e592d69c0c7b6f7d5ddcd77a68cfe587765fdc18e562b3822e9c5f620c4ac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GBXFSLLJYDD3N56V3XGXPJUM7Z \
| 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: 306e592d69c0c7b6f7d5ddcd77a68cfe587765fdc18e562b3822e9c5f620c4ac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cd80e8cee1fb178b9aaff776fb5d05009bd646b4d3f99e6d14d78bb2bdac7dbb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2019-03-27T00:50:23Z",
"title_canon_sha256": "a83e933f113b79d5cad09780c7d3ecfd5a65c1cf8b5b98b1c70ecce6c0db58a3"
},
"schema_version": "1.0",
"source": {
"id": "1903.11206",
"kind": "arxiv",
"version": 1
}
}