Pith Number
pith:NEGZSS4X
pith:2019:NEGZSS4XL2FURXIJPD3YEDTMFG
not attested
not anchored
not stored
refs pending
A Machine-learning Based Ensemble Method For Anti-patterns Detection
arxiv:1903.01899 v3 · 2019-01-29 · cs.SE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NEGZSS4XL2FURXIJPD3YEDTMFG}
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 | 2026-07-05T00:12:37.561484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
690d994b975e8b48dd0978f7820e6c29aa373706c9f754de8b9ae982bcb27e34
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NEGZSS4XL2FURXIJPD3YEDTMFG \
| 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: 690d994b975e8b48dd0978f7820e6c29aa373706c9f754de8b9ae982bcb27e34
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "03967d9a2fb5e9bcff347cf4d9eaaf03e2d8962bf1587446a5834dacd550155f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2019-01-29T21:29:05Z",
"title_canon_sha256": "29e07df2c80e2410806baa3e48cc7cbc731d673d0b290a3f0932abaacc53e9b4"
},
"schema_version": "1.0",
"source": {
"id": "1903.01899",
"kind": "arxiv",
"version": 3
}
}