Pith Number
pith:DNRSHEZQ
pith:2026:DNRSHEZQCP4EHNFCLAFQWZHYUX
not attested
not anchored
not stored
refs pending
The Approximation Ratio for the Risk of Myopic Bayesian Active Learning for Linear Regression
arxiv:2607.06642 v1 · 2026-07-07 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DNRSHEZQCP4EHNFCLAFQWZHYUX}
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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 | 2026-07-09T00:19:21.483375Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b6323933013f843b4a2580b0b64f8a5f54f2eba6f37087f95aee012c160f8ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DNRSHEZQCP4EHNFCLAFQWZHYUX \
| 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: 1b6323933013f843b4a2580b0b64f8a5f54f2eba6f37087f95aee012c160f8ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8e57972d0834d9981eb6df3a18c55a58cfb809714588a78473d70051e1613a19",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-07T15:07:41Z",
"title_canon_sha256": "fd0bb0e71ee117d47018366a27878b541c0cfb2f6a84a3c007e5e047ddd164d5"
},
"schema_version": "1.0",
"source": {
"id": "2607.06642",
"kind": "arxiv",
"version": 1
}
}