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Pith Number

pith:FN4HI3R3

pith:2017:FN4HI3R3JZHJHZ7UIWB2NCQRNO
not attested not anchored not stored refs pending

Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group

Arvind Bansal, Mehdi Ghayoumi

arxiv:1706.07757 v1 · 2017-04-14 · cs.CV · cs.HC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FN4HI3R3JZHJHZ7UIWB2NCQRNO}

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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 2026-05-18T00:37:57.407776Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2b78746e3b4e4e93e7f44583a68a116b85713d12a516ec86a6c6e9ad71d71a41

Aliases

arxiv: 1706.07757 · arxiv_version: 1706.07757v1 · doi: 10.48550/arxiv.1706.07757 · pith_short_12: FN4HI3R3JZHJ · pith_short_16: FN4HI3R3JZHJHZ7U · pith_short_8: FN4HI3R3
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FN4HI3R3JZHJHZ7UIWB2NCQRNO \
  | 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: 2b78746e3b4e4e93e7f44583a68a116b85713d12a516ec86a6c6e9ad71d71a41
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7438acde5236ac8f263e8ff20e26ae317dd19718b9125b27a1bc1e9d816150a8",
    "cross_cats_sorted": [
      "cs.HC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-04-14T14:54:14Z",
    "title_canon_sha256": "93c63a3b77874b5651f73cac4304492fe1d80f9909eb9bae2989935e89e1623b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1706.07757",
    "kind": "arxiv",
    "version": 1
  }
}