Pith Number
pith:BLCTQEYP
pith:2018:BLCTQEYPEKPBDINLX2R6RYRQCW
not attested
not anchored
not stored
refs pending
Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems
arxiv:1804.01031 v2 · 2018-04-03 · cs.RO · cs.LG · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BLCTQEYPEKPBDINLX2R6RYRQCW}
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 | 2026-05-18T00:05:56.200397Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ac538130f229e11a1abbea3e8e230158b475cd8f29aead3f3330136969ff0e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BLCTQEYPEKPBDINLX2R6RYRQCW \
| 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: 0ac538130f229e11a1abbea3e8e230158b475cd8f29aead3f3330136969ff0e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "59cdbc09f99e5d6cbfbaac99e08377d1d06a06095ce60e2631585f2c397c1586",
"cross_cats_sorted": [
"cs.LG",
"cs.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2018-04-03T15:18:56Z",
"title_canon_sha256": "477a25f11abbffe162bd6759a15481b854e012f3a966a7bb8bd8381aeeecdc12"
},
"schema_version": "1.0",
"source": {
"id": "1804.01031",
"kind": "arxiv",
"version": 2
}
}