pith. sign in
Pith Number

pith:MJIIHU6W

pith:2026:MJIIHU6W7CKDETXK55GVPO2TSV
not attested not anchored not stored refs pending

Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark

Daniel Kienzle, Fabian Pauly, Julian Lorenz, Matthias Blaschke, Rainer Lienhart, Zsuzsanna Koczor-Benda

arxiv:2606.30170 v1 · 2026-06-29 · cs.LG · cond-mat.mes-hall · cond-mat.mtrl-sci · cs.AI · cs.CE

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MJIIHU6W7CKDETXK55GVPO2TSV}

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 2026-06-30T02:17:52.469270Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

625083d3d6f894324eeaef4d57bb53955da8f9d3aac49adb736cf8213f3b8d54

Aliases

arxiv: 2606.30170 · arxiv_version: 2606.30170v1 · doi: 10.48550/arxiv.2606.30170 · pith_short_12: MJIIHU6W7CKD · pith_short_16: MJIIHU6W7CKDETXK · pith_short_8: MJIIHU6W
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MJIIHU6W7CKDETXK55GVPO2TSV \
  | 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: 625083d3d6f894324eeaef4d57bb53955da8f9d3aac49adb736cf8213f3b8d54
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9392450a9375cab7702a48acaa3cbce57339f5d6483f6ccd1b39dc414d2f4d3b",
    "cross_cats_sorted": [
      "cond-mat.mes-hall",
      "cond-mat.mtrl-sci",
      "cs.AI",
      "cs.CE"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-06-29T11:46:48Z",
    "title_canon_sha256": "91be88f30988d54196e30fcba0325695d898e7d4225295ec184c823e81124e84"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2606.30170",
    "kind": "arxiv",
    "version": 1
  }
}