Pith Number
pith:5Q2QZ43Q
pith:2017:5Q2QZ43QR63PTGPV3VDQ67WBRH
not attested
not anchored
not stored
refs pending
Online learnability of Statistical Relational Learning in anomaly detection
arxiv:1705.06573 v1 · 2017-05-18 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5Q2QZ43QR63PTGPV3VDQ67WBRH}
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 | 2026-05-18T00:44:14.391221Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec350cf3708fb6f999f5dd470f7ec189e0c48e6db8b77f545e3fd174f9110788
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5Q2QZ43QR63PTGPV3VDQ67WBRH \
| 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: ec350cf3708fb6f999f5dd470f7ec189e0c48e6db8b77f545e3fd174f9110788
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "749c0e165353d8359cbac36adce04905587cf7648c184df7ca31c9b8f746617d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-05-18T13:14:43Z",
"title_canon_sha256": "1b5016c7a7591f3cd6a3486059eb61739e313f5ff85ec4009d5b1936a2aad9b5"
},
"schema_version": "1.0",
"source": {
"id": "1705.06573",
"kind": "arxiv",
"version": 1
}
}