Pith. sign in
Pith Number

pith:LMVXYASM

pith:2025:LMVXYASMCTLGPWJWF7HAV7Y375
not attested not anchored not stored refs pending

STL-based Optimization of Biomolecular Neural Networks for Regression and Control

Calin Belta, Eric Palanques-Tost, Hanna Krasowski, Murat Arcak, Ron Weiss

arxiv:2509.05481 v1 · 2025-09-05 · cs.LG · q-bio.MN · q-bio.QM

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LMVXYASMCTLGPWJWF7HAV7Y375}

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 2026-07-05T12:05:48.338646Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5b2b7c024c14d667d9362fce0aff1bff4617d5c74ec9916e9ca26dbe4efceda0

Aliases

arxiv: 2509.05481 · arxiv_version: 2509.05481v1 · doi: 10.48550/arxiv.2509.05481 · pith_short_12: LMVXYASMCTLG · pith_short_16: LMVXYASMCTLGPWJW · pith_short_8: LMVXYASM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LMVXYASMCTLGPWJWF7HAV7Y375 \
  | 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: 5b2b7c024c14d667d9362fce0aff1bff4617d5c74ec9916e9ca26dbe4efceda0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "db208ef7e97d41fa1f62970646dd65fef38b5e20371f354eb9fddfd45f6ce02c",
    "cross_cats_sorted": [
      "q-bio.MN",
      "q-bio.QM"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-09-05T20:13:24Z",
    "title_canon_sha256": "cee2f9fbb9a914d2f7153c72068e94cee70ba47e02d6c3cdf8fb57460bbf8b38"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.05481",
    "kind": "arxiv",
    "version": 1
  }
}