pith:OLZKI52B
Testing properties of trees in graphical models with covariance queries
Global structural properties of trees in graphical models can be tested with sub-quadratic covariance queries.
arxiv:2605.15996 v1 · 2026-05-15 · stat.ML · cs.LG · math.ST · stat.TH
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\pithnumber{OLZKI52BARBBFEJJPDAJ6XCOCK}
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Claims
The main results of the paper show that, while reconstructing the entire tree may be costly, certain global structural properties can be tested efficiently. In particular, we design randomized tests for global structural properties that use a sub-quadratic number of queries.
The underlying graph is exactly a tree and the covariance query model introduced in the cited 2021 work applies directly to the testing procedures.
The paper presents randomized tests with explicit query bounds for properties including number of leaves, maximum degree, typical distance, and diameter in tree-structured graphical models.
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Receipt and verification
| First computed | 2026-05-20T00:01:48.232580Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72f2a47741044212912978c09f5c4e12bd363bb6d4e0fb0d9b9d338cee2d7c12
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OLZKI52BARBBFEJJPDAJ6XCOCK \
| 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: 72f2a47741044212912978c09f5c4e12bd363bb6d4e0fb0d9b9d338cee2d7c12
Canonical record JSON
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