Pith Number
pith:JLOBCHJI
pith:2025:JLOBCHJIZMQQFO65SF2BZDDMGU
not attested
not anchored
not stored
refs pending
CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning
arxiv:2501.08071 v1 · 2025-01-14 · cs.AR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JLOBCHJIZMQQFO65SF2BZDDMGU}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:00:55.298355Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4adc111d28cb2102bbdd91741c8c6c3534f8c127a4d23a3868c0a8d4fb82cf03
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JLOBCHJIZMQQFO65SF2BZDDMGU \
| 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: 4adc111d28cb2102bbdd91741c8c6c3534f8c127a4d23a3868c0a8d4fb82cf03
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "32aa8763b025c2b453f4358350e944a6f60ed70a991d526954a532f4be43e6f5",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.AR",
"submitted_at": "2025-01-14T12:36:18Z",
"title_canon_sha256": "1a4e38a0b356beedcefb41d179f87e70441d64eb6661a79268bc7755ed3b2f1d"
},
"schema_version": "1.0",
"source": {
"id": "2501.08071",
"kind": "arxiv",
"version": 1
}
}