Pith Number
pith:M73IPTH7
pith:2018:M73IPTH7MSNCOPCN5VJX2D64PE
not attested
not anchored
not stored
refs pending
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
arxiv:1808.06573 v3 · 2018-08-20 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M73IPTH7MSNCOPCN5VJX2D64PE}
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
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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 | 2026-05-18T00:03:36.567328Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67f687ccff649a273c4ded537d0fdc793592a31e009f494e21641798b1ecf4ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M73IPTH7MSNCOPCN5VJX2D64PE \
| 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: 67f687ccff649a273c4ded537d0fdc793592a31e009f494e21641798b1ecf4ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "875ed39bf0c7f16e7880ad5a25cbfa4fbbb702a813a2b0eaee6956ba07349a32",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-08-20T17:18:25Z",
"title_canon_sha256": "2bdeda2fbad0b228db7efbb0038fa1571f48ab2bd25fa229f4faa8ba57510811"
},
"schema_version": "1.0",
"source": {
"id": "1808.06573",
"kind": "arxiv",
"version": 3
}
}