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Pith Number

pith:GOKQG64V

pith:2017:GOKQG64VG3TH4TBWEKUCXMCGD2
not attested not anchored not stored refs pending

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

Artus Krohn-Grimberghe, Naimish Agarwal, Ranjana Vyas

arxiv:1710.00977 v1 · 2017-10-03 · cs.CV · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GOKQG64VG3TH4TBWEKUCXMCGD2}

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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 2026-05-18T00:33:43.105290Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3395037b9536e67e4c3622a82bb0461eb026c50bb5c2864dd180d6288e764be5

Aliases

arxiv: 1710.00977 · arxiv_version: 1710.00977v1 · doi: 10.48550/arxiv.1710.00977 · pith_short_12: GOKQG64VG3TH · pith_short_16: GOKQG64VG3TH4TBW · pith_short_8: GOKQG64V
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GOKQG64VG3TH4TBWEKUCXMCGD2 \
  | 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: 3395037b9536e67e4c3622a82bb0461eb026c50bb5c2864dd180d6288e764be5
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "628c626deaa1d2740d9aa0b0b8ffa76be86deca0d5217428f2a2c3c92626b28b",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-10-03T04:23:08Z",
    "title_canon_sha256": "4f2f8cad9b1dc0e64a316867c0ead37c40c6995f1ae93f97aed22fe7b52a5757"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.00977",
    "kind": "arxiv",
    "version": 1
  }
}