Pith Number
pith:N7DGQ7DZ
pith:2021:N7DGQ7DZXBLSG5DYTTY2OBZHLN
not attested
not anchored
not stored
refs pending
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
arxiv:2109.10900 v2 · 2021-09-22 · cs.AI · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N7DGQ7DZXBLSG5DYTTY2OBZHLN}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:33:49.940904Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6fc6687c79b8572374789cf1a707275b4f4517f78754f44ace85e071128bc2f1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N7DGQ7DZXBLSG5DYTTY2OBZHLN \
| 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: 6fc6687c79b8572374789cf1a707275b4f4517f78754f44ace85e071128bc2f1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "66f4b502e53daa7ab0f614c321255d08a1367b1f645b52ee5c3de9fd4e55e762",
"cross_cats_sorted": [
"cs.MA"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2021-09-22T17:59:24Z",
"title_canon_sha256": "850fa97327d58fddd4c946fb6c8292da50e5f04ce7dccfda5601bd417fa159d2"
},
"schema_version": "1.0",
"source": {
"id": "2109.10900",
"kind": "arxiv",
"version": 2
}
}