Pith Number
pith:X4MSCAOL
pith:2025:X4MSCAOLZSA37QPRM45GFU3DTD
not attested
not anchored
not stored
refs pending
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
arxiv:2505.12029 v1 · 2025-05-17 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X4MSCAOLZSA37QPRM45GFU3DTD}
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 | 2026-07-05T11:04:56.611061Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bf192101cbcc81bfc1f1673a62d36398cb527385d44dad0867b0b17e4bdd387b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X4MSCAOLZSA37QPRM45GFU3DTD \
| 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: bf192101cbcc81bfc1f1673a62d36398cb527385d44dad0867b0b17e4bdd387b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e1acc229614326d3e9e2bfc80471624e2c51355a0a378edf33252d4472ea8c40",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-05-17T14:42:47Z",
"title_canon_sha256": "acbfeb41c2c2d3c50273bda12aba767e554649658b5c5346bd2654e3f14f760f"
},
"schema_version": "1.0",
"source": {
"id": "2505.12029",
"kind": "arxiv",
"version": 1
}
}