Pith Number
pith:BDAMB6DV
pith:2023:BDAMB6DVWDA32OVZJV7OOKZDZ2
not attested
not anchored
not stored
refs pending
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
arxiv:2305.14109 v3 · 2023-05-23 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BDAMB6DVWDA32OVZJV7OOKZDZ2}
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
· sign in to
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 | 2026-07-05T10:04:09.743175Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
08c0c0f875b0c1bd3ab94d7ee72b23ceb466ceafa42668810a9872333f4d7b9d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BDAMB6DVWDA32OVZJV7OOKZDZ2 \
| 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: 08c0c0f875b0c1bd3ab94d7ee72b23ceb466ceafa42668810a9872333f4d7b9d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d3dad5453699a4c2b570b93783b9cb493749e49836f75ee5ff74041ff46efbb0",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-23T14:31:52Z",
"title_canon_sha256": "679d2e80c1ed0d607356f6b1f2b247d4562b66e0e0814c2a0850bca4e8e66f36"
},
"schema_version": "1.0",
"source": {
"id": "2305.14109",
"kind": "arxiv",
"version": 3
}
}