Pith Number
pith:G3PBFQPD
pith:2025:G3PBFQPDS7Z2MOUMS6FFR4YJMR
not attested
not anchored
not stored
refs pending
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
arxiv:2509.14380 v3 · 2025-09-17 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G3PBFQPDS7Z2MOUMS6FFR4YJMR}
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 | 2026-06-08T01:05:02.979424Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36de12c1e397f3a63a8c978a58f30964466ecc5aaed91df4e3ae1c4c4619c7cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G3PBFQPDS7Z2MOUMS6FFR4YJMR \
| 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: 36de12c1e397f3a63a8c978a58f30964466ecc5aaed91df4e3ae1c4c4619c7cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10123f820de9c9cc70a63e57ba4d4385d4ae9773dd0e0df8c412195ccc0f7bf3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-09-17T19:30:27Z",
"title_canon_sha256": "bf0ae994bb55fb88a299bdc462173a44513772ec20f20c3ad60254716174069f"
},
"schema_version": "1.0",
"source": {
"id": "2509.14380",
"kind": "arxiv",
"version": 3
}
}