Pith Number
pith:OFDSUASH
pith:2019:OFDSUASHJ56ZG4WHADGGAOZWFP
not attested
not anchored
not stored
refs pending
Petrophysical Property Estimation from Seismic Data Using Recurrent Neural Networks
arxiv:1901.08623 v2 · 2019-01-24 · physics.geo-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OFDSUASHJ56ZG4WHADGGAOZWFP}
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 | 2026-05-17T23:54:53.088347Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
71472a02474f7d9372c700cc603b362bd3a13ab2ef89dc7274381deedcfdc7fa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OFDSUASHJ56ZG4WHADGGAOZWFP \
| 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: 71472a02474f7d9372c700cc603b362bd3a13ab2ef89dc7274381deedcfdc7fa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15a8a8418dce17f80499d67d8590f354c1444190e9b32e71566a9e9ffdbe0d29",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.geo-ph",
"submitted_at": "2019-01-24T19:44:30Z",
"title_canon_sha256": "48fa4ed2d4f17eca141dc04dea8cb9e5e7eea021825886d5fd63f8cdb59af0d7"
},
"schema_version": "1.0",
"source": {
"id": "1901.08623",
"kind": "arxiv",
"version": 2
}
}