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Pith Number

pith:ADI2TK7X

pith:2017:ADI2TK7XJEFUL3TJRTLZLLHF3S
not attested not anchored not stored refs pending

Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks

Brady Kieffer, H.R.Tizhoosh, Morteza Babaie, Shivam Kalra

arxiv:1710.05726 v1 · 2017-10-11 · cs.CV

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\usepackage{pith}
\pithnumber{ADI2TK7XJEFUL3TJRTLZLLHF3S}

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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 2026-05-18T00:32:48.386982Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

00d1a9abf7490b45ee698cd795ace5dcbc4d355d5433c9cf016225185ea98c3e

Aliases

arxiv: 1710.05726 · arxiv_version: 1710.05726v1 · doi: 10.48550/arxiv.1710.05726 · pith_short_12: ADI2TK7XJEFU · pith_short_16: ADI2TK7XJEFUL3TJ · pith_short_8: ADI2TK7X
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ADI2TK7XJEFUL3TJRTLZLLHF3S \
  | 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: 00d1a9abf7490b45ee698cd795ace5dcbc4d355d5433c9cf016225185ea98c3e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "c6fb500c94bd6df8946d1600d97ad9660f20d25705b082e7c2e614e9f16849f9",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-10-11T00:02:53Z",
    "title_canon_sha256": "096174dc48f78a679bcbc45b9790c0b8cc94e60370d8de8c65c0865f22c7b896"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.05726",
    "kind": "arxiv",
    "version": 1
  }
}