Pith Number
pith:BFB2SMWO
pith:2019:BFB2SMWOQ4LGYOWDCP7LDCAORD
not attested
not anchored
not stored
refs pending
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
arxiv:1903.05697 v1 · 2019-03-13 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BFB2SMWOQ4LGYOWDCP7LDCAORD}
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 | 2026-05-17T23:51:16.512003Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0943a932ce87166c3ac313feb1880e88fd19940c14041c69857959f6eaf49d9d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BFB2SMWOQ4LGYOWDCP7LDCAORD \
| 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: 0943a932ce87166c3ac313feb1880e88fd19940c14041c69857959f6eaf49d9d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "655df736911b06e65f7a49eadf1675dfa807ff7e7a14ce6f2b4cbe22b24799d7",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2019-03-13T19:47:36Z",
"title_canon_sha256": "a07bc710490b4e3a3d911e7a374643e5f43564ac7dfb5519698ad3c97f1c8746"
},
"schema_version": "1.0",
"source": {
"id": "1903.05697",
"kind": "arxiv",
"version": 1
}
}