pith. sign in
Pith Number

pith:GG3T56WX

pith:2018:GG3T56WXUUQE2BYYQA55HAIF5W
not attested not anchored not stored refs pending

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction

Abhishek Kumar, Janakiraman Balachandran, Naganand Yadati, Padmini Rajagopalan, Partha Talukdar, Soumya Sanyal, Suchismita Sanyal

arxiv:1811.05660 v1 · 2018-11-14 · cs.LG · cond-mat.mtrl-sci · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GG3T56WXUUQE2BYYQA55HAIF5W}

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 2026-05-18T00:00:42.395675Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

31b73efad7a5204d0718803bd38105ed8b87a18b347efe949f8707ffb5e1a5df

Aliases

arxiv: 1811.05660 · arxiv_version: 1811.05660v1 · doi: 10.48550/arxiv.1811.05660 · pith_short_12: GG3T56WXUUQE · pith_short_16: GG3T56WXUUQE2BYY · pith_short_8: GG3T56WX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GG3T56WXUUQE2BYYQA55HAIF5W \
  | 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: 31b73efad7a5204d0718803bd38105ed8b87a18b347efe949f8707ffb5e1a5df
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1ddcdebdba825263ce88e4aca1dbf7173558f9a2011d8a7d68657a32adb2a59d",
    "cross_cats_sorted": [
      "cond-mat.mtrl-sci",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-11-14T06:13:29Z",
    "title_canon_sha256": "4122212c9c8a907ad89496a1be3dfe15a5659bc3aaa13da4294c03658d684603"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1811.05660",
    "kind": "arxiv",
    "version": 1
  }
}