Pith Number
pith:QVRHYMJS
pith:2025:QVRHYMJSLBONQA7CJBXTD43KD3
not attested
not anchored
not stored
refs pending
Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation
arxiv:2505.08223 v1 · 2025-05-13 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QVRHYMJSLBONQA7CJBXTD43KD3}
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 | 2026-07-05T11:02:26.789278Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
85627c3132585cd803e2486f31f36a1ee0c57b9b3bee048cbcb30788a9bd9203
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QVRHYMJSLBONQA7CJBXTD43KD3 \
| 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: 85627c3132585cd803e2486f31f36a1ee0c57b9b3bee048cbcb30788a9bd9203
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e1c82ca84d4bb7622bd1ed7f74de19ebcafe0dd3258706f5319ececa04bf0ae3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-05-13T04:50:29Z",
"title_canon_sha256": "30a49f1e705de39b114585cf2e2fd1338625101f4fdadba698b6744f04fce928"
},
"schema_version": "1.0",
"source": {
"id": "2505.08223",
"kind": "arxiv",
"version": 1
}
}