Pith. sign in
Pith Number

pith:DGP5VF3L

pith:2024:DGP5VF3L5PQGZBSZBZSKEMK74P
not attested not anchored not stored refs pending

Graph Neural Networks for Job Shop Scheduling Problems: A Survey

Cong Zhang, Igor G. Smit, Jianan Zhou, Jian Chen, Robbert Reijnen, Wim Nuijten, Yaoxin Wu, Yingqian Zhang, Zaharah Bukhsh

arxiv:2406.14096 v3 · 2024-06-20 · cs.AI · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DGP5VF3L5PQGZBSZBZSKEMK74P}

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 2026-07-05T09:45:11.017395Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

199fda976bebe06c86590e64a2315fe3eeccc6af39ec43bc55004aee4b2a3dee

Aliases

arxiv: 2406.14096 · arxiv_version: 2406.14096v3 · doi: 10.48550/arxiv.2406.14096 · pith_short_12: DGP5VF3L5PQG · pith_short_16: DGP5VF3L5PQGZBSZ · pith_short_8: DGP5VF3L
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DGP5VF3L5PQGZBSZBZSKEMK74P \
  | 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: 199fda976bebe06c86590e64a2315fe3eeccc6af39ec43bc55004aee4b2a3dee
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "72c9a71966658e408ea9d310fe4824920884075f07982048f07ed7d5c69ab598",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2024-06-20T08:22:07Z",
    "title_canon_sha256": "44c16c4659d019af78265c28a0d5c692b415e4a1ba69bdc487ce1f9301070591"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.14096",
    "kind": "arxiv",
    "version": 3
  }
}