Pith Number
pith:T2K6VPIY
pith:2022:T2K6VPIYYDLY4EJSWTFAGXFFBL
not attested
not anchored
not stored
refs pending
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
arxiv:2203.11203 v2 · 2022-03-19 · cs.LG · cs.AI · cs.CG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T2K6VPIYYDLY4EJSWTFAGXFFBL}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
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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 | 2026-07-05T08:27:59.325376Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e95eabd18c0d78e1132b4ca035ca50acda40087bd1b4ba2ef2df871c2b63f7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T2K6VPIYYDLY4EJSWTFAGXFFBL \
| 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: 9e95eabd18c0d78e1132b4ca035ca50acda40087bd1b4ba2ef2df871c2b63f7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a5e5cc92ec0d56dd2b475ba1eb4dc2745afb5e08a3375ed1e71c9ef5ab46c5c4",
"cross_cats_sorted": [
"cs.AI",
"cs.CG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-03-19T21:49:05Z",
"title_canon_sha256": "0ac6958c6a5ba2c64031056cd05fd489b33da089ddc6203dc4d0c7330f478571"
},
"schema_version": "1.0",
"source": {
"id": "2203.11203",
"kind": "arxiv",
"version": 2
}
}