Pith Number
pith:PEGWUII4
pith:2025:PEGWUII45L7NNMA77LHWWBGESC
not attested
not anchored
not stored
refs pending
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning
arxiv:2501.10698 v1 · 2025-01-18 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PEGWUII45L7NNMA77LHWWBGESC}
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
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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 | 2026-07-05T11:03:55.646502Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
790d6a211ceafed6b01ffacf6b04c490a25e0f4ec78a770538aa40659bd3afda
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PEGWUII45L7NNMA77LHWWBGESC \
| 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: 790d6a211ceafed6b01ffacf6b04c490a25e0f4ec78a770538aa40659bd3afda
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b30e1e18bf0d720ee3e36ef6eae2766cfff8a88ab324b339b7c120c814eaf784",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-01-18T08:37:33Z",
"title_canon_sha256": "355152d4a366376c6d765e81b4fe9dceffc8d1189c2a5db32cc462825f6f92cc"
},
"schema_version": "1.0",
"source": {
"id": "2501.10698",
"kind": "arxiv",
"version": 1
}
}