pith. sign in
Pith Number

pith:IQUTHD6W

pith:2017:IQUTHD6WMBJDO3KN3VYJJKW2AH
not attested not anchored not stored refs pending

Symmetry-Adapted Machine-Learning for Tensorial Properties of Atomistic Systems

Andrea Grisafi, David M. Wilkins, G\'abor Cs\'anyi, Michele Ceriotti

arxiv:1709.06757 v1 · 2017-09-20 · cond-mat.mtrl-sci · cond-mat.stat-mech

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQUTHD6WMBJDO3KN3VYJJKW2AH}

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 2026-05-18T00:25:17.188447Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4429338fd66052376d4ddd7094aada01e5c2b6ffedb95a47cbeb563265089b90

Aliases

arxiv: 1709.06757 · arxiv_version: 1709.06757v1 · doi: 10.48550/arxiv.1709.06757 · pith_short_12: IQUTHD6WMBJD · pith_short_16: IQUTHD6WMBJDO3KN · pith_short_8: IQUTHD6W
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQUTHD6WMBJDO3KN3VYJJKW2AH \
  | 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: 4429338fd66052376d4ddd7094aada01e5c2b6ffedb95a47cbeb563265089b90
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "869df00cf27bfada57cffd2856ac2125f47ab1ca8e7748fbf6a25d52550de929",
    "cross_cats_sorted": [
      "cond-mat.stat-mech"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cond-mat.mtrl-sci",
    "submitted_at": "2017-09-20T08:10:27Z",
    "title_canon_sha256": "5c19ddcfb2c95c73bb82277b8cc0873bae1d1c2037e1f4b19312ffd568ddc6b1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.06757",
    "kind": "arxiv",
    "version": 1
  }
}