Pith Number
pith:KWGABH6F
pith:2016:KWGABH6FF6MRALBB5E6X6GVKTC
not attested
not anchored
not stored
refs pending
Predicting Coronal Mass Ejections Using Machine Learning Methods
arxiv:1603.03775 v1 · 2016-03-11 · astro-ph.SR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KWGABH6FF6MRALBB5E6X6GVKTC}
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
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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 | 2026-05-18T01:16:29.189866Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
558c009fc52f99102c21e93d7f1aaa989d6c3f5f5c894232548dfcf74523ea0c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KWGABH6FF6MRALBB5E6X6GVKTC \
| 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: 558c009fc52f99102c21e93d7f1aaa989d6c3f5f5c894232548dfcf74523ea0c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5f97e17408a4220aaca5c519ff74ec277fe088ecf6f0f49c6a27b7b7214e9a15",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.SR",
"submitted_at": "2016-03-11T21:00:02Z",
"title_canon_sha256": "fa0fb86660f39b5d54ad7c256941c9ad37359fede3b920fe5a697ccb418c09a3"
},
"schema_version": "1.0",
"source": {
"id": "1603.03775",
"kind": "arxiv",
"version": 1
}
}