Pith Number
pith:FX222MDN
pith:2022:FX222MDNIWQB355F7UPQEPYX6L
not attested
not anchored
not stored
refs pending
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning
arxiv:2205.07000 v1 · 2022-05-14 · cs.LG · cs.AI · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FX222MDNIWQB355F7UPQEPYX6L}
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
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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 | 2026-07-05T04:23:10.918857Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2df5ad306d45a01df7a5fd1f023f17f2c0553e5234295ed312af5832bcda7828
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FX222MDNIWQB355F7UPQEPYX6L \
| 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: 2df5ad306d45a01df7a5fd1f023f17f2c0553e5234295ed312af5832bcda7828
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2bf10b00d973d97f7584ca1cc716176a8a98ed2df9314b4d0e91ae58030942b7",
"cross_cats_sorted": [
"cs.AI",
"cs.AR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-14T08:06:55Z",
"title_canon_sha256": "31db07206bafcc65b489b350b8e32dd4a98bebe85923b6d2c2feff3ae3a88d94"
},
"schema_version": "1.0",
"source": {
"id": "2205.07000",
"kind": "arxiv",
"version": 1
}
}