Pith Number
pith:LYDLMTT4
pith:2026:LYDLMTT4AFFAJ265246TLZ642V
not attested
not anchored
not stored
refs pending
L-Learning : A Lyapunov-Based Approach Leveraging Lagrangian Mechanics for Efficient and Stable Robot Tracking
arxiv:2605.26648 v1 · 2026-05-26 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LYDLMTT4AFFAJ265246TLZ642V}
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 | 2026-05-27T01:06:04.018623Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e06b64e7c014a04ebddd73d35e7dcd562bfec16bea8f55c5d37b9d7c0fa1a41
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYDLMTT4AFFAJ265246TLZ642V \
| 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: 5e06b64e7c014a04ebddd73d35e7dcd562bfec16bea8f55c5d37b9d7c0fa1a41
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3a863166ae067fe51763fad41dd97e9650ed3118d0563ea23a6227b3ff35c5d6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2026-05-26T07:31:01Z",
"title_canon_sha256": "4a0a1b956e0d4a8e4eb8e728d9020d3918897edb317afe8001694ee5aa9581c6"
},
"schema_version": "1.0",
"source": {
"id": "2605.26648",
"kind": "arxiv",
"version": 1
}
}