pith. sign in
Pith Number

pith:AEAK4QPN

pith:2015:AEAK4QPNEXWQBERJYKID2UTFVW
not attested not anchored not stored refs pending

Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods

Anima Anandkumar, Hanie Sedghi, Majid Janzamin

arxiv:1506.08473 v3 · 2015-06-28 · cs.LG · cs.NE · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AEAK4QPNEXWQBERJYKID2UTFVW}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

6 papers in Pith

Receipt and verification
First computed 2026-05-18T01:23:03.811390Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0100ae41ed25ed009229c2903d5265adb1a806a737e3dedb42d914abede87e46

Aliases

arxiv: 1506.08473 · arxiv_version: 1506.08473v3 · doi: 10.48550/arxiv.1506.08473 · pith_short_12: AEAK4QPNEXWQ · pith_short_16: AEAK4QPNEXWQBERJ · pith_short_8: AEAK4QPN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AEAK4QPNEXWQBERJYKID2UTFVW \
  | 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: 0100ae41ed25ed009229c2903d5265adb1a806a737e3dedb42d914abede87e46
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "bdbf0c10fc461acfb20e23d96d7a451be72c849ade62c3eabd3e8acf81c1c67b",
    "cross_cats_sorted": [
      "cs.NE",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2015-06-28T23:19:49Z",
    "title_canon_sha256": "030efa5187853fe6d86e366df27387612541ee3d7a7042c8101432b1f4dc1200"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1506.08473",
    "kind": "arxiv",
    "version": 3
  }
}