Pith Number
pith:YR6SQWKN
pith:2017:YR6SQWKNPPHPZ2F5QXHQ3VIL5S
not attested
not anchored
not stored
refs pending
A hybrid supervised/unsupervised machine learning approach to solar flare prediction
arxiv:1706.07103 v1 · 2017-06-21 · astro-ph.SR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YR6SQWKNPPHPZ2F5QXHQ3VIL5S}
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 | 2026-05-18T00:24:17.264087Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c47d28594d7bcefce8bd85cf0dd50bec8dd6726192584b35ef1d9797de4a96a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YR6SQWKNPPHPZ2F5QXHQ3VIL5S \
| 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: c47d28594d7bcefce8bd85cf0dd50bec8dd6726192584b35ef1d9797de4a96a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ab2773caca8b58d8b389b206517240b4fd4bee17e643f8e5b57a64a42106add",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.SR",
"submitted_at": "2017-06-21T19:57:20Z",
"title_canon_sha256": "aea4dd09e45db8da7c178faa37d54bfc5e2f13baebf07d62dfadbe0c3fc1cc99"
},
"schema_version": "1.0",
"source": {
"id": "1706.07103",
"kind": "arxiv",
"version": 1
}
}