pith. sign in
Pith Number

pith:WBUJJT75

pith:2017:WBUJJT75UN5XBTVBWWFIBSQ6K5
not attested not anchored not stored refs pending

Block-diagonal Hessian-free Optimization for Training Neural Networks

Caiming Xiong, Huishuai Zhang, James Bradbury, Richard Socher

arxiv:1712.07296 v1 · 2017-12-20 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WBUJJT75UN5XBTVBWWFIBSQ6K5}

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

1 paper in Pith

Receipt and verification
First computed 2026-05-18T00:27:34.939004Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b06894cffda37b70cea1b58a80ca1e575882c7ed015f68f5d29dc1e4e27fe3b9

Aliases

arxiv: 1712.07296 · arxiv_version: 1712.07296v1 · doi: 10.48550/arxiv.1712.07296 · pith_short_12: WBUJJT75UN5X · pith_short_16: WBUJJT75UN5XBTVB · pith_short_8: WBUJJT75
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WBUJJT75UN5XBTVBWWFIBSQ6K5 \
  | 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: b06894cffda37b70cea1b58a80ca1e575882c7ed015f68f5d29dc1e4e27fe3b9
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "210434054c17101dbf1e4b4e187f39a6cc2bc12633eca5c62897d623cf05094e",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-12-20T02:52:35Z",
    "title_canon_sha256": "d2c1f6d836aea76c78e77946ce8baa657e264cb9063ac1b66e82f3b5d1380d9f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1712.07296",
    "kind": "arxiv",
    "version": 1
  }
}