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Pith Number

pith:VWGNN6ZH

pith:2017:VWGNN6ZHP3JHYVPIG7V7OWU5Q5
not attested not anchored not stored refs pending

Catalyst design using actively learned machine with non-ab initio input features towards CO2 reduction reactions

Jaehoon Kim, Juhwan Noh, Seoin Back, Yousung Jung

arxiv:1709.04576 v1 · 2017-09-14 · cond-mat.mtrl-sci · physics.chem-ph · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VWGNN6ZHP3JHYVPIG7V7OWU5Q5}

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 2026-05-18T00:35:11.234785Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ad8cd6fb277ed27c55e837ebf75a9d87740f212394c5a5341cd17658e6ad43c9

Aliases

arxiv: 1709.04576 · arxiv_version: 1709.04576v1 · doi: 10.48550/arxiv.1709.04576 · pith_short_12: VWGNN6ZHP3JH · pith_short_16: VWGNN6ZHP3JHYVPI · pith_short_8: VWGNN6ZH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VWGNN6ZHP3JHYVPIG7V7OWU5Q5 \
  | 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: ad8cd6fb277ed27c55e837ebf75a9d87740f212394c5a5341cd17658e6ad43c9
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "05b0e783070120e143fd26928091a133717f7dd9859d33c7050b01c61dfd5d51",
    "cross_cats_sorted": [
      "physics.chem-ph",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cond-mat.mtrl-sci",
    "submitted_at": "2017-09-14T01:35:00Z",
    "title_canon_sha256": "a1acfb3f457ef071eebea51f8ecaaf7ccbbc80c1f4e16ea566dfd3ae73e85748"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.04576",
    "kind": "arxiv",
    "version": 1
  }
}