Pith Number
pith:TYL4ZMKG
pith:2025:TYL4ZMKGASPTRMDDC7KXOBN3VK
not attested
not anchored
not stored
refs pending
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning
arxiv:2505.02483 v1 · 2025-05-05 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TYL4ZMKGASPTRMDDC7KXOBN3VK}
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 | 2026-07-05T10:58:37.754796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e17ccb146049f38b06317d57705bbaa8a5ef2688618578b6c6efb741ba8cbdb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TYL4ZMKGASPTRMDDC7KXOBN3VK \
| 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: 9e17ccb146049f38b06317d57705bbaa8a5ef2688618578b6c6efb741ba8cbdb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8bf398b82248b2df42e08322a375d03e2a201e2b6141a7ea4d312bb16a57ae46",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-05-05T09:06:17Z",
"title_canon_sha256": "99e19e371d6ad7fb4094c83d85b4817dc355cf9710cdbe3e5edacee75eca4003"
},
"schema_version": "1.0",
"source": {
"id": "2505.02483",
"kind": "arxiv",
"version": 1
}
}