Pith Number
pith:PF7DTRSH
pith:2025:PF7DTRSHYLV7YAJ4I5JP4QHCDR
not attested
not anchored
not stored
refs pending
Deep learning enhanced initial model prediction in elastic FWI: application to marine streamer data
arxiv:2501.12992 v1 · 2025-01-22 · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PF7DTRSHYLV7YAJ4I5JP4QHCDR}
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 | 2026-07-05T10:04:01.433763Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
797e39c647c2ebfc013c4752fe40e21c4a4f6d530eacdf8247f122de22e56534
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PF7DTRSHYLV7YAJ4I5JP4QHCDR \
| 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: 797e39c647c2ebfc013c4752fe40e21c4a4f6d530eacdf8247f122de22e56534
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6556d7f46aa11f3114b75312fd15c4144855802bb62b3b1fbc519c55be2552c3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.geo-ph",
"submitted_at": "2025-01-22T16:28:15Z",
"title_canon_sha256": "cf0e0ab54d7203ccb9320b2e641c49a39802119b47ad5c232d41c1f3f4246c4b"
},
"schema_version": "1.0",
"source": {
"id": "2501.12992",
"kind": "arxiv",
"version": 1
}
}