Pith Number
pith:NTTAOMFC
pith:2023:NTTAOMFCTRLLA3SYMEVHGZEKUD
not attested
not anchored
not stored
refs pending
TIAGo RL: Simulated Reinforcement Learning Environments with Tactile Data for Mobile Robots
arxiv:2311.07260 v1 · 2023-11-13 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NTTAOMFCTRLLA3SYMEVHGZEKUD}
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 | 2026-07-05T07:12:10.544064Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ce60730a29c56b06e58612a73648aa0ed8c17a6685d97968f2099f6cd59ef17
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NTTAOMFCTRLLA3SYMEVHGZEKUD \
| 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: 6ce60730a29c56b06e58612a73648aa0ed8c17a6685d97968f2099f6cd59ef17
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c5ecb1ac6fc67894f560d06d35db6d45dd912a8f88d959490b83e6102d03889",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2023-11-13T11:50:30Z",
"title_canon_sha256": "a7eb989c2220e09fb8f80482606e2f1baa101db184df057808918fd3e928797b"
},
"schema_version": "1.0",
"source": {
"id": "2311.07260",
"kind": "arxiv",
"version": 1
}
}