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Pith Number

pith:DRIPFNCN

pith:2016:DRIPFNCNLYOGLI2STHRKFCMHJL
not attested not anchored not stored refs pending

Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information

Antonio Criminisi, Sukrit Shankar, Yoad Lewenberg, Yoram Bachrach

arxiv:1605.09062 v1 · 2016-05-29 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DRIPFNCNLYOGLI2STHRKFCMHJL}

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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 2026-05-18T01:13:22.183180Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1c50f2b44d5e1c65a35299e2a289874afb4cdc3f87cd2272663bc43a448f998f

Aliases

arxiv: 1605.09062 · arxiv_version: 1605.09062v1 · doi: 10.48550/arxiv.1605.09062 · pith_short_12: DRIPFNCNLYOG · pith_short_16: DRIPFNCNLYOGLI2S · pith_short_8: DRIPFNCN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DRIPFNCNLYOGLI2STHRKFCMHJL \
  | 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: 1c50f2b44d5e1c65a35299e2a289874afb4cdc3f87cd2272663bc43a448f998f
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "48a454a6f49759d346e6ecf4503e51b75feeed2447fc41a435885632ace05039",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2016-05-29T21:07:10Z",
    "title_canon_sha256": "c524c39f60199228c7948359ebea8d642c63ee5ff28b17b3dc47385eebb105f3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1605.09062",
    "kind": "arxiv",
    "version": 1
  }
}