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Pith Number

pith:N2HYFEUT

pith:2016:N2HYFEUT2Z7SSE6MMLKVMJR6VG
not attested not anchored not stored refs pending

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

Anh Tuan Tran, Gerard Medioni, Iacopo Masi, Tal Hassner

arxiv:1612.04904 v1 · 2016-12-15 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N2HYFEUT2Z7SSE6MMLKVMJR6VG}

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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 2026-05-18T00:54:57.390954Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6e8f829293d67f2913cc62d556263ea996eb9e367686030c5ce4a70a4adc56db

Aliases

arxiv: 1612.04904 · arxiv_version: 1612.04904v1 · doi: 10.48550/arxiv.1612.04904 · pith_short_12: N2HYFEUT2Z7S · pith_short_16: N2HYFEUT2Z7SSE6M · pith_short_8: N2HYFEUT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N2HYFEUT2Z7SSE6MMLKVMJR6VG \
  | 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: 6e8f829293d67f2913cc62d556263ea996eb9e367686030c5ce4a70a4adc56db
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1c04c7332fbdaa5b3c714ccdcaf50029867bfb0e67b5272951583ae6764ae8ea",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2016-12-15T02:02:28Z",
    "title_canon_sha256": "9a785d415cb8053c549f39b76a1c11c6f13c8add102efabfbd05597ed543a338"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1612.04904",
    "kind": "arxiv",
    "version": 1
  }
}