pith:Y5VVQRJ2
Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale
For any bounded real-valued function class, uniform convergence at scale γ is equivalent to agnostic learnability at scale γ/2 and finite fat-shattering dimension at all scales above γ.
arxiv:2605.13684 v1 · 2026-05-13 · cs.LG · cs.IT · math.IT
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\usepackage{pith}
\pithnumber{Y5VVQRJ27EHDSTDVRFSWWNC4VI}
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Record completeness
Claims
for every bounded real-valued class and every γ>0, uniform convergence at scale γ, agnostic learnability at scale γ/2, and finiteness of the fat-shattering dimension at every scale γ'>γ are equivalent
The real-valued function class must be bounded, which is required for the scale-sensitive notions of uniform convergence and learnability to be well-defined.
For bounded real-valued function classes, uniform convergence at scale γ, agnostic learnability at γ/2, and finite fat-shattering dimension above γ are equivalent.
References
Formal links
Receipt and verification
| First computed | 2026-05-18T02:44:17.009589Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c76b58453af90e394c7589656b345caa1447f6be81b1b38a57220f8da413fb63
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y5VVQRJ27EHDSTDVRFSWWNC4VI \
| 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: c76b58453af90e394c7589656b345caa1447f6be81b1b38a57220f8da413fb63
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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