Pith Number

pith:64VPN3U2

pith:2017:64VPN3U2U7EATTMGVM6P5SRKQC

not attested not anchored not stored refs pending

An Effective Training Method For Deep Convolutional Neural Network

Jie Cao, Kun Gao, Qun Hao, Xi Chen, Yang Jiang, Zeyang Dou

arxiv:1708.01666 v5 · 2017-07-31 · cs.LG · cs.AI · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{64VPN3U2U7EATTMGVM6P5SRKQC}

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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.

Receipt and verification

First computed	2026-05-18T00:32:39.521716Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f72af6ee9aa7c809cd86ab3cfeca2a80a898b3e1c4a9a5c204f8da563a14891a

Aliases

arxiv: 1708.01666 · arxiv_version: 1708.01666v5 · doi: 10.48550/arxiv.1708.01666 · pith_short_12: 64VPN3U2U7EA · pith_short_16: 64VPN3U2U7EATTMG · pith_short_8: 64VPN3U2

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/64VPN3U2U7EATTMGVM6P5SRKQC \
  | 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: f72af6ee9aa7c809cd86ab3cfeca2a80a898b3e1c4a9a5c204f8da563a14891a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "10bfa16a3fdf89e00f3e08174c12003c756d9f9771d17b6d821f86fa02e20c15",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-07-31T23:19:03Z",
    "title_canon_sha256": "dc4283e35c32b3091247690c0ffc435017b27bc7f3d538af2dad2bcff5471cdc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1708.01666",
    "kind": "arxiv",
    "version": 5
  }
}