pith:F4GLMDB7
A Unified Fractional Regularization Framework for Sparse Recovery
The ℓ1/ℓp^q fractional regularizer has first-order stationary points equivalent to those of the subtractive ℓ1 - α ℓp model and admits a new RIP recovery condition for high-coherence matrices.
arxiv:2604.23184 v2 · 2026-04-25 · cs.IT · cs.LG · math.IT
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\usepackage{pith}
\pithnumber{F4GLMDB7HEYSVLNHHD7ZFV24DH}
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Record completeness
Claims
The first-order stationary points of the ℓ1/ℓp^q formulation are equivalent to those of the subtractive ℓ1 - α ℓp model, and the framework admits a new sufficient recovery condition under the RIP that holds even for high-coherence sensing matrices.
The RIP-based recovery condition and the equivalence both rely on the parameters p and q being chosen in (0,1) and on the sensing matrix satisfying a restricted isometry property whose constants are not quantified in the abstract; the abstract does not state how sensitive the guarantees are to the choice of these parameters.
A unified ℓ1/ℓp^q fractional regularizer equates to the subtractive ℓ1 - α ℓp model at stationary points, supplies a new RIP-based recovery condition, and is solved by a provably convergent majorization-minimization algorithm.
Receipt and verification
| First computed | 2026-05-28T01:04:40.711362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2f0cb60c3f39312aada738ff92d75c19f104f42de15eb4541c13624751aa3beb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F4GLMDB7HEYSVLNHHD7ZFV24DH \
| 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: 2f0cb60c3f39312aada738ff92d75c19f104f42de15eb4541c13624751aa3beb
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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"submitted_at": "2026-04-25T07:32:39Z",
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