Pith Number
pith:4UKVRHX2
pith:2025:4UKVRHX2OTW7L6BSROSH2TDZY2
not attested
not anchored
not stored
refs pending
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
arxiv:2503.15629 v1 · 2025-03-19 · cs.RO · cs.AI · cs.CG · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4UKVRHX2OTW7L6BSROSH2TDZY2}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:35:54.638061Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e515589efa74edf5f8328ba47d4c79c692fe441cc305073ed3c19b062f15fb49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4UKVRHX2OTW7L6BSROSH2TDZY2 \
| 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: e515589efa74edf5f8328ba47d4c79c692fe441cc305073ed3c19b062f15fb49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a250994cb3d4e81feaa7279314b40f4dae2192524dce9792e6c1f2ff7c19904",
"cross_cats_sorted": [
"cs.AI",
"cs.CG",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-03-19T18:29:25Z",
"title_canon_sha256": "f924867c6a033aa2fedc114214f92dfe685076e5c019aef54f6a04027cb4518a"
},
"schema_version": "1.0",
"source": {
"id": "2503.15629",
"kind": "arxiv",
"version": 1
}
}