Pith Number
pith:FJB6CY7R
pith:2023:FJB6CY7RVOJW7MKX4WX6NRM3LX
not attested
not anchored
not stored
refs pending
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
arxiv:2307.00828 v2 · 2023-07-03 · eess.SY · cs.LG · cs.SY · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FJB6CY7RVOJW7MKX4WX6NRM3LX}
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 | 2026-07-05T06:30:47.054131Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a43e163f1ab936fb157e5afe6c59b5dd3a51598bafc327a423428ddce2b5a68
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FJB6CY7RVOJW7MKX4WX6NRM3LX \
| 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: 2a43e163f1ab936fb157e5afe6c59b5dd3a51598bafc327a423428ddce2b5a68
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "749a44bf91dae9ec49ea6b751f59cec31272a82478ee2798b66ee9cb60bb80ed",
"cross_cats_sorted": [
"cs.LG",
"cs.SY",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SY",
"submitted_at": "2023-07-03T08:16:01Z",
"title_canon_sha256": "f06a17e408da122b8a2f2565b11c3f596fadd58d90ec79051376def86fbf07a1"
},
"schema_version": "1.0",
"source": {
"id": "2307.00828",
"kind": "arxiv",
"version": 2
}
}