Pith Number
pith:NSLBADGH
pith:2025:NSLBADGHCERJMKX4ALUTD5EOAC
not attested
not anchored
not stored
refs pending
How to Mitigate Overfitting in Weak-to-strong Generalization?
arxiv:2503.04249 v1 · 2025-03-06 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NSLBADGHCERJMKX4ALUTD5EOAC}
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 | 2026-07-05T10:25:33.479189Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c96100cc71122962afc02e931f48e00821efedcb695e05409fe27959ed7ab24
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NSLBADGHCERJMKX4ALUTD5EOAC \
| 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: 6c96100cc71122962afc02e931f48e00821efedcb695e05409fe27959ed7ab24
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe1c89b8247b62fdd349885ceeb27bc8053136f2e0762cd0b9ac12b3a22e49d0",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-06T09:32:39Z",
"title_canon_sha256": "71b92cc6f12a4b0117e9720e3ba330600e4979cde0e1fa1041d85294c02f66a8"
},
"schema_version": "1.0",
"source": {
"id": "2503.04249",
"kind": "arxiv",
"version": 1
}
}