Pith Number
pith:SOOR6KVC
pith:2024:SOOR6KVCQCD5GYQ2ID7VSDKAWX
not attested
not anchored
not stored
refs pending
Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
arxiv:2412.07698 v1 · 2024-12-10 · cs.SE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SOOR6KVCQCD5GYQ2ID7VSDKAWX}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:47:14.069841Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
939d1f2aa28087d3621a40ff590d40b5f91b6ca7aa94833751085124fe7d839a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SOOR6KVCQCD5GYQ2ID7VSDKAWX \
| 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: 939d1f2aa28087d3621a40ff590d40b5f91b6ca7aa94833751085124fe7d839a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "46c077e3cb1e02c9ba7a8d469f2bb4aa946f5daa60ff0873cd9bab6a8c65e31e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2024-12-10T17:38:36Z",
"title_canon_sha256": "fc47b3e61bf8bfaa8e451a48a6b3bbdfbf2ac692161798f2d37f7a889f7fc6a6"
},
"schema_version": "1.0",
"source": {
"id": "2412.07698",
"kind": "arxiv",
"version": 1
}
}