Pith Number
pith:62CZQNSS
pith:2012:62CZQNSSL4M2R2IY6GKTWBDZL5
not attested
not anchored
not stored
refs pending
Adaptive Layered Approach using Machine Learning Techniques with Gain Ratio for Intrusion Detection Systems
arxiv:1210.7650 v1 · 2012-10-29 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{62CZQNSSL4M2R2IY6GKTWBDZL5}
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 | 2026-05-18T03:42:09.237487Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f6859836525f19a8e918f1953b04795f7f2c423f40ffbec51a28c04c10c4dccd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/62CZQNSSL4M2R2IY6GKTWBDZL5 \
| 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: f6859836525f19a8e918f1953b04795f7f2c423f40ffbec51a28c04c10c4dccd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "72978ef8d03f9baf9f26568e34acac49ad789562906811615e1d7544fb27ae08",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2012-10-29T13:24:50Z",
"title_canon_sha256": "6904b1d0cd37a271c8b6e483d37e8ddd4a84710c82d914f95c3aaba7b3846b2c"
},
"schema_version": "1.0",
"source": {
"id": "1210.7650",
"kind": "arxiv",
"version": 1
}
}