Pith Number
pith:MSFEJPQV
pith:2025:MSFEJPQVA4FVNPACKUFPSRMNBN
not attested
not anchored
not stored
refs pending
Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification
arxiv:2502.06878 v1 · 2025-02-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MSFEJPQVA4FVNPACKUFPSRMNBN}
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
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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 | 2026-07-05T10:12:29.491232Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
648a44be15070b56bc02550af9458d0b75c8a6450350dccbf254552037ebf04d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MSFEJPQVA4FVNPACKUFPSRMNBN \
| 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: 648a44be15070b56bc02550af9458d0b75c8a6450350dccbf254552037ebf04d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "85d4a3dc5f30b255ed24b35957131c703605d04d72eeaa2a3fda58cfeb2be232",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-08T13:35:00Z",
"title_canon_sha256": "de49158f22a7a12005a0a2c996a73eb250ce2a2d4925a0157fb52de796f80862"
},
"schema_version": "1.0",
"source": {
"id": "2502.06878",
"kind": "arxiv",
"version": 1
}
}