Pith Number
pith:HS7MQZTJ
pith:2024:HS7MQZTJGU7FM5LMPLXMQM7VXF
not attested
not anchored
not stored
refs pending
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
arxiv:2411.06491 v1 · 2024-11-10 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HS7MQZTJGU7FM5LMPLXMQM7VXF}
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 | 2026-07-05T09:33:47.125870Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3cbec86669353e56756c7aeec833f5b94afe6076e4a1b451d129b6c4536844f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HS7MQZTJGU7FM5LMPLXMQM7VXF \
| 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: 3cbec86669353e56756c7aeec833f5b94afe6076e4a1b451d129b6c4536844f2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b821ae74e49ba328017c07b714dfb15fce018c8449a2b0bc8153b1c614131d8d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2024-11-10T15:17:15Z",
"title_canon_sha256": "3a057f4b2aec8c14f5da098288dad8467096c32ba6a73c9846f783a47401f93c"
},
"schema_version": "1.0",
"source": {
"id": "2411.06491",
"kind": "arxiv",
"version": 1
}
}