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Pith Number

pith:74PMNHER

pith:2018:74PMNHERNYZFSCFMMF7MWARCLF
not attested not anchored not stored refs pending

Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization

Gesualdo Scutari, Ying Sun

arxiv:1805.06963 v1 · 2018-05-17 · math.OC · cs.DC

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\usepackage{pith}
\pithnumber{74PMNHERNYZFSCFMMF7MWARCLF}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T00:15:42.635971Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ff1ec69c916e325908ac617ecb02225970f7bb7e1891261052bfb0bef28ffd4f

Aliases

arxiv: 1805.06963 · arxiv_version: 1805.06963v1 · doi: 10.48550/arxiv.1805.06963 · pith_short_12: 74PMNHERNYZF · pith_short_16: 74PMNHERNYZFSCFM · pith_short_8: 74PMNHER
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/74PMNHERNYZFSCFMMF7MWARCLF \
  | 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: ff1ec69c916e325908ac617ecb02225970f7bb7e1891261052bfb0bef28ffd4f
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d765cc9b57218a2501420893b2a7dd48db9c42ab143916220732ebe3785b3a56",
    "cross_cats_sorted": [
      "cs.DC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.OC",
    "submitted_at": "2018-05-17T20:44:36Z",
    "title_canon_sha256": "fadb4dded395ae57eba859c04800e7b46ff3dc4f980e771c1712354500bc6ce8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1805.06963",
    "kind": "arxiv",
    "version": 1
  }
}