Pith Number
pith:OPBXTMPM
pith:2023:OPBXTMPMMN62RWRN3B6DGDREY7
not attested
not anchored
not stored
refs pending
Transfer Learning for Bayesian Optimization: A Survey
arxiv:2302.05927 v1 · 2023-02-12 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OPBXTMPMMN62RWRN3B6DGDREY7}
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
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:41:00.113800Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73c379b1ec637da8da2dd87c330e24c7da58fe028dd1454d50c72e60048bb589
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OPBXTMPMMN62RWRN3B6DGDREY7 \
| 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: 73c379b1ec637da8da2dd87c330e24c7da58fe028dd1454d50c72e60048bb589
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25ef0bc4b700cbc7801fbcfc6d71ea7b6dc3fc1aa74a0a3acdb5ede320d1413e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-12T14:37:25Z",
"title_canon_sha256": "7ce01131a847e5cd75011d296f76a44ee732a84ef8d6dd13174affdf266dd21d"
},
"schema_version": "1.0",
"source": {
"id": "2302.05927",
"kind": "arxiv",
"version": 1
}
}