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Pith Number

pith:7NQP4I2X

pith:2017:7NQP4I2XZKBNHSAVVJMRXZ3M7J
not attested not anchored not stored refs pending

Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields

Alessandro Corbetta, Federico Toschi, Vlado Menkovski

arxiv:1706.02850 v1 · 2017-06-09 · cs.CV · cs.NE · physics.soc-ph

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7NQP4I2XZKBNHSAVVJMRXZ3M7J}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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 2026-05-18T00:18:46.491054Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fb60fe2357ca82d3c815aa591be76cfa6b79efa7ddd0098089ba9733031c6a54

Aliases

arxiv: 1706.02850 · arxiv_version: 1706.02850v1 · doi: 10.48550/arxiv.1706.02850 · pith_short_12: 7NQP4I2XZKBN · pith_short_16: 7NQP4I2XZKBNHSAV · pith_short_8: 7NQP4I2X
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7NQP4I2XZKBNHSAVVJMRXZ3M7J \
  | 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: fb60fe2357ca82d3c815aa591be76cfa6b79efa7ddd0098089ba9733031c6a54
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d180c88533695b6ad5ac6aefa2d36fce2fef8b3667fba6e15111acd75da092b1",
    "cross_cats_sorted": [
      "cs.NE",
      "physics.soc-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-06-09T07:14:08Z",
    "title_canon_sha256": "880efb0279aee10b1afecf51fe317af19a57270b3099b1303659b9cc91bee343"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1706.02850",
    "kind": "arxiv",
    "version": 1
  }
}