Pith Number
pith:Z5VMBQRR
pith:2025:Z5VMBQRR3HQTJHHVCJ4BWLXQX4
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refs pending
Novel Multi-Agent Action Masked Deep Reinforcement Learning for General Industrial Assembly Lines Balancing Problems
arxiv:2507.16635 v1 · 2025-07-22 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z5VMBQRR3HQTJHHVCJ4BWLXQX4}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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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 | 2026-07-05T11:41:28.061728Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cf6ac0c231d9e1349cf512781b2ef0bf193dcbde097bd896edff039e6448cf3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z5VMBQRR3HQTJHHVCJ4BWLXQX4 \
| 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: cf6ac0c231d9e1349cf512781b2ef0bf193dcbde097bd896edff039e6448cf3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee7af2f8655cb477f6e18a5824f1353c4918d3c98d1c288015a04c21da4267cd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-07-22T14:34:36Z",
"title_canon_sha256": "e4fd12fe250c704bfd8bcee593b7c8ff1fec7af87e0772fafc4fcf17ef51e288"
},
"schema_version": "1.0",
"source": {
"id": "2507.16635",
"kind": "arxiv",
"version": 1
}
}