Pith Number
pith:GUZPXFHF
pith:2011:GUZPXFHFGRTM2IC3HHEBGPW4GY
not attested
not anchored
not stored
refs pending
A Classical Fuzzy Approach for Software Effort Estimation on Machine Learning Technique
arxiv:1112.3877 v1 · 2011-12-16 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GUZPXFHFGRTM2IC3HHEBGPW4GY}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T04:06:08.550168Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3532fb94e53466cd205b39c8133edc3614da62daa26b0d25fa158b135695b9d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GUZPXFHFGRTM2IC3HHEBGPW4GY \
| 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: 3532fb94e53466cd205b39c8133edc3614da62daa26b0d25fa158b135695b9d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "972ac8cbfd2d4608f35bd366d9ac4d18ea80bbea538b8cd309e645fac6e37631",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2011-12-16T16:22:55Z",
"title_canon_sha256": "f52c2985702563a183234f064c9827f30614f9e16cb053dcabc4ccf595f7704a"
},
"schema_version": "1.0",
"source": {
"id": "1112.3877",
"kind": "arxiv",
"version": 1
}
}