Pith Number
pith:QNWA7FJW
pith:2016:QNWA7FJWYHGFNHTAUUUMGDU2ME
not attested
not anchored
not stored
refs pending
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
arxiv:1605.07334 v2 · 2016-05-24 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QNWA7FJWYHGFNHTAUUUMGDU2ME}
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.
Receipt and verification
| First computed | 2026-05-18T01:11:17.173928Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
836c0f9536c1cc569e60a528c30e9a612407f51f950c296ec290aa4d551376ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QNWA7FJWYHGFNHTAUUUMGDU2ME \
| 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: 836c0f9536c1cc569e60a528c30e9a612407f51f950c296ec290aa4d551376ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "859f88607fbbed512c8190ee0f7f13d6d9b647aec048211da2e764f99b702259",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-05-24T08:25:27Z",
"title_canon_sha256": "e49a6ad13afc3378d8b2c76ff77ad975606180d9bee4654877c0ddd05acc90fd"
},
"schema_version": "1.0",
"source": {
"id": "1605.07334",
"kind": "arxiv",
"version": 2
}
}