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Pith Number

pith:IMJV64HO

pith:2017:IMJV64HOGKIC7QRRIVOL34PD6B
not attested not anchored not stored refs pending

Face Detection using Deep Learning: An Improved Faster RCNN Approach

Pengcheng Wu, Steven C.H. Hoi, Xudong Sun

arxiv:1701.08289 v1 · 2017-01-28 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IMJV64HOGKIC7QRRIVOL34PD6B}

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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 2026-05-18T00:51:54.662811Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

43135f70ee32902fc231455cbdf1e3f040aa3653892be5d930b257f916db4bbe

Aliases

arxiv: 1701.08289 · arxiv_version: 1701.08289v1 · doi: 10.48550/arxiv.1701.08289 · pith_short_12: IMJV64HOGKIC · pith_short_16: IMJV64HOGKIC7QRR · pith_short_8: IMJV64HO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IMJV64HOGKIC7QRRIVOL34PD6B \
  | 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: 43135f70ee32902fc231455cbdf1e3f040aa3653892be5d930b257f916db4bbe
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "32b1962fa3d69f0f4d2c65102077894f4ecda151ca3ebc6b2d56ef0a17fa22b7",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-01-28T13:33:24Z",
    "title_canon_sha256": "0cd44b93886df9e1fde2be3e00afa9d2594cf097899373d73553d624525bee07"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1701.08289",
    "kind": "arxiv",
    "version": 1
  }
}