Pith Number
pith:6YXUD6V2
pith:2019:6YXUD6V2VJRAH6VALS3WXNEZB5
not attested
not anchored
not stored
refs pending
Deep-learning inversion: a next generation seismic velocity-model building method
arxiv:1902.06267 v1 · 2019-02-17 · physics.geo-ph · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6YXUD6V2VJRAH6VALS3WXNEZB5}
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 | 2026-05-17T23:53:46.032560Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f62f41fabaaa6203faa05cb76bb4990f496ed09d08c1809c05d088f6dd31b2f0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6YXUD6V2VJRAH6VALS3WXNEZB5 \
| 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: f62f41fabaaa6203faa05cb76bb4990f496ed09d08c1809c05d088f6dd31b2f0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "97f735b05e2858479696dd5c9ad3e43c3be60c7b174a6c7f999f8d942516ed73",
"cross_cats_sorted": [
"cs.LG",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.geo-ph",
"submitted_at": "2019-02-17T14:52:02Z",
"title_canon_sha256": "ba68801545880d146c4d16029358d36bd18b76a4df1dc0808957c3669931843f"
},
"schema_version": "1.0",
"source": {
"id": "1902.06267",
"kind": "arxiv",
"version": 1
}
}