Pith. sign in
Pith Number

pith:VZC6KZSW

pith:2024:VZC6KZSWTXC2TQ7Y4PSMEHQBEH
not attested not anchored not stored refs pending

Deep Learning for GWP Prediction: A Framework Using PCA, Quantile Transformation, and Ensemble Modeling

Kotaro Kawajiri, Navin Rajapriya

arxiv:2411.19124 v1 · 2024-11-28 · cs.LG · cond-mat.mtrl-sci · physics.chem-ph

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VZC6KZSWTXC2TQ7Y4PSMEHQBEH}

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 2026-07-05T09:41:57.570783Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ae45e566569dc5a9c3f8e3e4c21e0121dc957622ca0dfe09a1996de1b23526ea

Aliases

arxiv: 2411.19124 · arxiv_version: 2411.19124v1 · doi: 10.48550/arxiv.2411.19124 · pith_short_12: VZC6KZSWTXC2 · pith_short_16: VZC6KZSWTXC2TQ7Y · pith_short_8: VZC6KZSW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VZC6KZSWTXC2TQ7Y4PSMEHQBEH \
  | 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: ae45e566569dc5a9c3f8e3e4c21e0121dc957622ca0dfe09a1996de1b23526ea
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "45f784e8a88d3a368c4942ee16e9486474a28875c16b6c2e814792a711d387c7",
    "cross_cats_sorted": [
      "cond-mat.mtrl-sci",
      "physics.chem-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-11-28T13:16:12Z",
    "title_canon_sha256": "9a9b619e24e3546c5fd93b23e728d4d73a095f7e63978a5471df34d7810e7cf5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2411.19124",
    "kind": "arxiv",
    "version": 1
  }
}