pith. sign in
Pith Number

pith:JDIWHCQC

pith:2019:JDIWHCQCNPRWNMPP7LABOTTCNO
not attested not anchored not stored refs pending

SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only

Anand Shah, Elsa Angelini, Marcello Di Paolo, Mario Zusag, Sujal Desai, Thomas Semple

arxiv:1902.02629 v1 · 2019-02-06 · eess.IV · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JDIWHCQCNPRWNMPP7LABOTTCNO}

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 2026-05-17T23:54:32.664150Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

48d1638a026be366b1effac0174e626b96a3dbee1d253ed61c99ca57ac604260

Aliases

arxiv: 1902.02629 · arxiv_version: 1902.02629v1 · doi: 10.48550/arxiv.1902.02629 · pith_short_12: JDIWHCQCNPRW · pith_short_16: JDIWHCQCNPRWNMPP · pith_short_8: JDIWHCQC
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JDIWHCQCNPRWNMPP7LABOTTCNO \
  | 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: 48d1638a026be366b1effac0174e626b96a3dbee1d253ed61c99ca57ac604260
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e844f1b04bba979fd3b04a3c81170f74491e1948d29bf2f927dcf65d31442465",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2019-02-06T13:17:03Z",
    "title_canon_sha256": "0c267d65810aa6acc44070503e92b1d9138914fbc858a3e253c198c0da66917a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1902.02629",
    "kind": "arxiv",
    "version": 1
  }
}