Pith Number
pith:AF6MNWKR
pith:2015:AF6MNWKR3BIENT4KHEMZ5OA7JM
not attested
not anchored
not stored
refs pending
Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling
arxiv:1510.06549 v1 · 2015-10-22 · cs.CL · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AF6MNWKR3BIENT4KHEMZ5OA7JM}
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 | 2026-05-18T01:29:30.659827Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
017cc6d951d85046cf8a39199eb81f4b3aa8ffc1f99c28404bfdadefa14e53e4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AF6MNWKR3BIENT4KHEMZ5OA7JM \
| 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: 017cc6d951d85046cf8a39199eb81f4b3aa8ffc1f99c28404bfdadefa14e53e4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e2dc9cfe55f438d2eb306df04481d6e1837fa61c2e15399a133be23cb5f078af",
"cross_cats_sorted": [
"cs.DC",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2015-10-22T09:40:54Z",
"title_canon_sha256": "99e4b5ed9e2b16ee441db3d2501ecec00d5c3c6fcf42a28e495a0ab161efeeaa"
},
"schema_version": "1.0",
"source": {
"id": "1510.06549",
"kind": "arxiv",
"version": 1
}
}