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Pith Number

pith:7PFO2ECJ

pith:2017:7PFO2ECJXUT4FRHSNB7HVJ4NGA
not attested not anchored not stored refs pending

Predicting bioaccumulation using molecular theory: A machine learning approach

Maksim Misin, Maxim V. Fedorov, Sergey Sosnin

arxiv:1710.08174 v1 · 2017-10-23 · physics.chem-ph

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7PFO2ECJXUT4FRHSNB7HVJ4NGA}

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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 2026-05-18T00:32:17.002341Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fbcaed1049bd27c2c4f2687e7aa78d30164dc5dc9c0e81c00c0918844c74c6c2

Aliases

arxiv: 1710.08174 · arxiv_version: 1710.08174v1 · doi: 10.48550/arxiv.1710.08174 · pith_short_12: 7PFO2ECJXUT4 · pith_short_16: 7PFO2ECJXUT4FRHS · pith_short_8: 7PFO2ECJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7PFO2ECJXUT4FRHSNB7HVJ4NGA \
  | 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: fbcaed1049bd27c2c4f2687e7aa78d30164dc5dc9c0e81c00c0918844c74c6c2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a55ec7736d5cf5433525e63b7a4fee6af33c6df053d248665ec96981a33caad6",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "physics.chem-ph",
    "submitted_at": "2017-10-23T10:00:51Z",
    "title_canon_sha256": "202f7b618c0baff5cac08688dedda239716ddbc5287a45d86eb2a549d79d2990"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.08174",
    "kind": "arxiv",
    "version": 1
  }
}