Pith Number
pith:GC3TUYHX
pith:2025:GC3TUYHXJ3THCIMUBE73JITLQT
not attested
not anchored
not stored
refs pending
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
arxiv:2506.07861 v1 · 2025-06-09 · cs.LG · cs.AI · cs.IT · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GC3TUYHXJ3THCIMUBE73JITLQT}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-07-05T11:18:34.634230Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30b73a60f74ee6712194093fb4a26b84f20ea1d5d00a6f1f85bdd52b6d681378
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GC3TUYHXJ3THCIMUBE73JITLQT \
| 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: 30b73a60f74ee6712194093fb4a26b84f20ea1d5d00a6f1f85bdd52b6d681378
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4fea2075bcb331f740a7620a515c9f6277b3a4ef0ab3af04b4ce2fe40e0588e7",
"cross_cats_sorted": [
"cs.AI",
"cs.IT",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-09T15:24:56Z",
"title_canon_sha256": "2f7aa8ac83b5ac9faaa58455d4bb5d4c0ed4e93de8f94452933836094096f291"
},
"schema_version": "1.0",
"source": {
"id": "2506.07861",
"kind": "arxiv",
"version": 1
}
}