Pith Number
pith:RZ5X6Z7D
pith:2014:RZ5X6Z7D3H4W24JMKSMDH6ADJD
not attested
not anchored
not stored
refs pending
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems
arxiv:1407.5656 v2 · 2014-07-21 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RZ5X6Z7D3H4W24JMKSMDH6ADJD}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T02:44:55.241776Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8e7b7f67e3d9f96d712c549833f80348c97bfd6159141d6fd9d8dfb829d86e8d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RZ5X6Z7D3H4W24JMKSMDH6ADJD \
| 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: 8e7b7f67e3d9f96d712c549833f80348c97bfd6159141d6fd9d8dfb829d86e8d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "663358c8d9f8d6141cbe8effd7796c2c1c587b1cc26b00fd0a2f6e2dedcd673f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2014-07-21T20:26:32Z",
"title_canon_sha256": "828cfd58a3db13161f1ee0e2005b7d60c0697bb072174b8ecede74e5420f57e3"
},
"schema_version": "1.0",
"source": {
"id": "1407.5656",
"kind": "arxiv",
"version": 2
}
}