Pith Number
pith:5L3X7TNT
pith:2019:5L3X7TNTOQM6J5SIAQQWOH47DH
not attested
not anchored
not stored
refs pending
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics
arxiv:1905.05162 v1 · 2019-05-13 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5L3X7TNTOQM6J5SIAQQWOH47DH}
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 | 2026-05-17T23:46:22.368461Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eaf77fcdb37419e4f6480421671f9f19fba8858e3519839b937a9e25a967a37d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5L3X7TNTOQM6J5SIAQQWOH47DH \
| 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: eaf77fcdb37419e4f6480421671f9f19fba8858e3519839b937a9e25a967a37d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8cd35e85076c659d396fe81154348b0fab4262c93b5127ac5e0c53c021a0046e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2019-05-13T17:45:02Z",
"title_canon_sha256": "123e9b264f8d4f8d0f5e59c92427bf15ad21d7f852e9caa8f3cc5a669ac4094c"
},
"schema_version": "1.0",
"source": {
"id": "1905.05162",
"kind": "arxiv",
"version": 1
}
}