Pith Number
pith:HXWNKQYR
pith:2015:HXWNKQYRXK4BXI2RGUEHO7KZPQ
not attested
not anchored
not stored
refs pending
A Novel Pre-processing Scheme to Improve the Prediction of Sand Fraction from Seismic Attributes using Neural Networks
arxiv:1509.07065 v1 · 2015-09-23 · cs.CE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HXWNKQYRXK4BXI2RGUEHO7KZPQ}
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 | 2026-05-18T01:31:10.444494Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3decd54311bab81ba3513508777d597c05e32657a23d91356c5290943801531e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HXWNKQYRXK4BXI2RGUEHO7KZPQ \
| 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: 3decd54311bab81ba3513508777d597c05e32657a23d91356c5290943801531e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "46d28fb6983032a86b2546ca2a69f574ffc2e6c61cafe9ffb4e4b756a86e0d8c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CE",
"submitted_at": "2015-09-23T17:15:21Z",
"title_canon_sha256": "421ffbb7499a65ab231770498f57a74dac59ba6234b6dcdd7c873c8d231f3dcf"
},
"schema_version": "1.0",
"source": {
"id": "1509.07065",
"kind": "arxiv",
"version": 1
}
}