pith:C5KGNOKK
The information bottleneck method
Compressing a signal X through limited codewords can preserve all the information it provides about another signal Y.
arxiv:physics/0004057 v1 · 2000-04-24 · physics.data-an · cond-mat.dis-nn · cs.LG · nlin.AO
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\pithnumber{C5KGNOKKSCK4AD565NCV7CDUVA}
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Claims
This constrained optimization problem can be seen as a generalization of rate distortion theory in which the distortion measure d(x, x̃) emerges from the joint statistics of X and Y. This approach yields an exact set of self consistent equations for the coding rules X → X̃ and X̃ → Y.
The joint distribution p(x,y) is known or can be reliably estimated from data, allowing the mutual information terms and the iterative re-estimation procedure to be computed exactly.
The information bottleneck method finds a compressed representation T of X that preserves maximal mutual information with Y by solving a variational optimization problem that generalizes rate-distortion theory.
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| First computed | 2026-07-04T14:43:14.754516Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
175466b94a9095c00fbeeb455f8874a822daaf87c76038dd73ef348c7d00abbf
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C5KGNOKKSCK4AD565NCV7CDUVA \
| 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: 175466b94a9095c00fbeeb455f8874a822daaf87c76038dd73ef348c7d00abbf
Canonical record JSON
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