Pith Number
pith:57DJGWQY
pith:2025:57DJGWQYYH6XTNH5IGMQGGPHOR
not attested
not anchored
not stored
refs pending
Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety
arxiv:2508.03864 v2 · 2025-08-05 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{57DJGWQYYH6XTNH5IGMQGGPHOR}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T12:05:43.880866Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
efc6935a18c1fd79b4fd41990319e7746125fb521ea4dc659a4e60d9632761f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/57DJGWQYYH6XTNH5IGMQGGPHOR \
| 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: efc6935a18c1fd79b4fd41990319e7746125fb521ea4dc659a4e60d9632761f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd66479f122ffd282d0f6ab8ca8f496927876885d913fff0ee85e3e341a204ae",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-08-05T19:26:55Z",
"title_canon_sha256": "67c9db2f2447bfa56dde0c33e3937204a858f0a308306830ee39635a7a1e51f7"
},
"schema_version": "1.0",
"source": {
"id": "2508.03864",
"kind": "arxiv",
"version": 2
}
}