Pith Number
pith:43QTNR7F
pith:2017:43QTNR7FC4XALM3QQLKCFI67JB
not attested
not anchored
not stored
refs pending
Malicious URL Detection using Machine Learning: A Survey
arxiv:1701.07179 v3 · 2017-01-25 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{43QTNR7FC4XALM3QQLKCFI67JB}
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.
Cited by
Receipt and verification
| First computed | 2026-07-04T23:58:54.461338Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6e136c7e5172e05b37082d422a3df486e5ef44e668f4326a63ccb640373a27c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/43QTNR7FC4XALM3QQLKCFI67JB \
| 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: e6e136c7e5172e05b37082d422a3df486e5ef44e668f4326a63ccb640373a27c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e0b9b6cc4bcf25dbb32a40c43af995e094e7d6c35b70cb1e03614957069787f4",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-01-25T06:46:14Z",
"title_canon_sha256": "f59ad47df5889604dc2d3f152e6c26ecb0d3d404639f24085c99bba3845822ea"
},
"schema_version": "1.0",
"source": {
"id": "1701.07179",
"kind": "arxiv",
"version": 3
}
}