pith. sign in
Pith Number

pith:XZTRAGVR

pith:2017:XZTRAGVRJGFEU5BN6JIHG37AH5
not attested not anchored not stored refs pending

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

Afshine Amidi, Dimitrios Vlachakis, Evangelia I. Zacharaki, Nikos Paragios, Shervine Amidi, Vasileios Megalooikonomou

arxiv:1707.06017 v1 · 2017-07-19 · q-bio.QM · cs.CV · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XZTRAGVRJGFEU5BN6JIHG37AH5}

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 2026-05-18T00:39:57.797501Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

be67101ab1498a4a742df250736fe03f64c73381c494cbb4bf36d710db3da5a6

Aliases

arxiv: 1707.06017 · arxiv_version: 1707.06017v1 · doi: 10.48550/arxiv.1707.06017 · pith_short_12: XZTRAGVRJGFE · pith_short_16: XZTRAGVRJGFEU5BN · pith_short_8: XZTRAGVR
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XZTRAGVRJGFEU5BN6JIHG37AH5 \
  | 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: be67101ab1498a4a742df250736fe03f64c73381c494cbb4bf36d710db3da5a6
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9a1445f21654b70cba987a4a1e77dff2ea0dd4220c0c12d569059081e03c96fa",
    "cross_cats_sorted": [
      "cs.CV",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "q-bio.QM",
    "submitted_at": "2017-07-19T10:59:29Z",
    "title_canon_sha256": "23135107f0e9b032a420939974a6d172e2188d3758d884122f56660dec0d1702"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1707.06017",
    "kind": "arxiv",
    "version": 1
  }
}