Pith Number
pith:KJ2Q2VK6
pith:2017:KJ2Q2VK6K3ZIDHLNKQG2GIFOLN
not attested
not anchored
not stored
refs pending
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
arxiv:1711.02413 v1 · 2017-11-07 · cs.NI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KJ2Q2VK6K3ZIDHLNKQG2GIFOLN}
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 | 2026-05-18T00:31:07.955077Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
52750d555e56f2819d6d540da320ae5b4f730dc18dc6522adce4ffe78e58bd57
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KJ2Q2VK6K3ZIDHLNKQG2GIFOLN \
| 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: 52750d555e56f2819d6d540da320ae5b4f730dc18dc6522adce4ffe78e58bd57
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "810a5b2167fa2cde6c97a56a4485a705ac0292ec318635e4a1bc42bd353d0604",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2017-11-07T11:38:11Z",
"title_canon_sha256": "03f229c1b483265d7ca0a8aaeb85ba736ab42a8fa7b0384fe3ee172a48dd8881"
},
"schema_version": "1.0",
"source": {
"id": "1711.02413",
"kind": "arxiv",
"version": 1
}
}