pith:NJD47GOD
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization
ATCG matches full continuous greedy objective values while bounding communication via adaptive active-set gating.
arxiv:2604.03419 v2 · 2026-04-03 · cs.LG · math.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NJD47GODWHBX7RUZ6GC5EOUD4N}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
ATCG achieves objective values comparable to those of the full CG method while substantially reducing communication overhead through adaptive active-set expansion, with a curvature-aware approximation guarantee τ_eff = max{τ, 1-c}.
That the per-partition progress ratio η_i can be chosen so that gating gradient evaluations does not cause the captured marginal gains to fall below the level needed for the stated approximation factor to hold.
ATCG adaptively thresholds continuous greedy updates to limit communication in distributed submodular maximization under matroid constraints while retaining a curvature-aware approximation guarantee.
Formal links
Receipt and verification
| First computed | 2026-05-20T01:05:12.489409Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6a47cf99c3b1c37fc699f185d23a83e37d6ea2183de63e530402f54b76030791
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NJD47GODWHBX7RUZ6GC5EOUD4N \
| 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: 6a47cf99c3b1c37fc699f185d23a83e37d6ea2183de63e530402f54b76030791
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "194f8dd957841a1ecae53c9559a8b3cb19882f428a5a36d9522ff25c6079f8bc",
"cross_cats_sorted": [
"math.CO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-04-03T19:32:39Z",
"title_canon_sha256": "1c93551d266895525d9383f41d116482c4e24898bc61c9bbdd6973c67be7ca19"
},
"schema_version": "1.0",
"source": {
"id": "2604.03419",
"kind": "arxiv",
"version": 2
}
}