Pith Number
pith:LTT5MXV6
pith:2018:LTT5MXV6HTC3KQCOSA7QZGNVDQ
not attested
not anchored
not stored
refs pending
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
arxiv:1802.09640 v3 · 2018-02-26 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTT5MXV6HTC3KQCOSA7QZGNVDQ}
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 | 2026-05-18T00:20:13.553973Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ce7d65ebe3cc5b5404e903f0c99b51c2604b3004dd6766f1063bbd96dcb7540
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTT5MXV6HTC3KQCOSA7QZGNVDQ \
| 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: 5ce7d65ebe3cc5b5404e903f0c99b51c2604b3004dd6766f1063bbd96dcb7540
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "010624116b7483c913934b4358233327e2117dff8faf4116c3d43a5288a233f3",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2018-02-26T23:27:53Z",
"title_canon_sha256": "2b70ae7a1297ef304ec06c2e3b350fd80a1f5dc51f165aa1dd6c540534df96ef"
},
"schema_version": "1.0",
"source": {
"id": "1802.09640",
"kind": "arxiv",
"version": 3
}
}