Pith. sign in
Pith Number

pith:FGUVWFJL

pith:2024:FGUVWFJLNG6JDOWBBK2CQLFIWS
not attested not anchored not stored refs pending

Link Prediction with Physics-Inspired Graph Neural Networks

Andrea Giuseppe Di Francesco, Fabrizio Silvestri, Francesco Caso, Maria Sofia Bucarelli

arxiv:2402.14802 v3 · 2024-02-22 · cs.LG · cs.IR · cs.SI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FGUVWFJLNG6JDOWBBK2CQLFIWS}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T11:27:48.651977Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

29a95b152b69bc91bac10ab4282ca8b48292b68a06be71895f80734ec42ed9f1

Aliases

arxiv: 2402.14802 · arxiv_version: 2402.14802v3 · doi: 10.48550/arxiv.2402.14802 · pith_short_12: FGUVWFJLNG6J · pith_short_16: FGUVWFJLNG6JDOWB · pith_short_8: FGUVWFJL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FGUVWFJLNG6JDOWBBK2CQLFIWS \
  | 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: 29a95b152b69bc91bac10ab4282ca8b48292b68a06be71895f80734ec42ed9f1
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "178f5575571745d426f403d7e7ed9feefaacac1c748eec0469e07bb32e3360b7",
    "cross_cats_sorted": [
      "cs.IR",
      "cs.SI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-02-22T18:56:31Z",
    "title_canon_sha256": "487ebe0df82baed0feae6f63b7bb9a548425cc481dd3e1a403c80e1c287089bb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.14802",
    "kind": "arxiv",
    "version": 3
  }
}