Pith Number
pith:EMBLF33J
pith:2026:EMBLF33J2DQMOBCEPLZ2LHVL2U
not attested
not anchored
not stored
refs pending
DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning
arxiv:2605.25604 v1 · 2026-05-25 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EMBLF33J2DQMOBCEPLZ2LHVL2U}
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 | 2026-05-26T02:04:46.102837Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2302b2ef69d0e0c704447af3a59eabd528ef56afd23e398f107da270857b35c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EMBLF33J2DQMOBCEPLZ2LHVL2U \
| 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: 2302b2ef69d0e0c704447af3a59eabd528ef56afd23e398f107da270857b35c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e61346bf055a3e243b5ae3d5065f4a01a8d79cafc555bf132896681fe0ffabee",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-05-25T08:55:16Z",
"title_canon_sha256": "f68e9f0dd4ae9d9b7c41f6395a228f2b09967f15c28550c832b4d8b71c4cf039"
},
"schema_version": "1.0",
"source": {
"id": "2605.25604",
"kind": "arxiv",
"version": 1
}
}