Pith. sign in
Pith Number

pith:LX63BDTK

pith:2020:LX63BDTKLROXTG4XX3PZYXMHXJ
not attested not anchored not stored refs pending

M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning

Andreas Bucher, Anirban Mukhopadhyay, Camila Gonzalez, Karol Gotkowski

arxiv:2007.00453 v1 · 2020-07-01 · cs.CV · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LX63BDTKLROXTG4XX3PZYXMHXJ}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T01:15:32.009780Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5dfdb08e6a5c5d799b97bedf9c5d87ba5d3222176bcf78913d8a94b51033fffc

Aliases

arxiv: 2007.00453 · arxiv_version: 2007.00453v1 · doi: 10.48550/arxiv.2007.00453 · pith_short_12: LX63BDTKLROX · pith_short_16: LX63BDTKLROXTG4X · pith_short_8: LX63BDTK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LX63BDTKLROXTG4XX3PZYXMHXJ \
  | 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: 5dfdb08e6a5c5d799b97bedf9c5d87ba5d3222176bcf78913d8a94b51033fffc
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f493918d0110806557b82f6a8a9fc50561d8d672410e9d5a6fe01ba10527653b",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2020-07-01T12:55:57Z",
    "title_canon_sha256": "a6bfe3b2b92c9ab5aff9098ff093765cc0ae199592ca7e1be5ecee8eec33c6eb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2007.00453",
    "kind": "arxiv",
    "version": 1
  }
}