Pith Number
pith:O63SPJNJ
pith:2024:O63SPJNJMQHQ3G24PADNLMNDW5
not attested
not anchored
not stored
refs pending
A deep-learning model for one-shot transcranial ultrasound simulation and phase aberration correction
arxiv:2410.19995 v1 · 2024-10-25 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O63SPJNJMQHQ3G24PADNLMNDW5}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:26:37.047541Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
77b727a5a9640f0d9b5c7806d5b1a3b768cb1b7b2f276924fc6af49dd677f103
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O63SPJNJMQHQ3G24PADNLMNDW5 \
| 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: 77b727a5a9640f0d9b5c7806d5b1a3b768cb1b7b2f276924fc6af49dd677f103
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b11a5ecaa97520c070e3dcaddd94c1994c028dbb12a74bb337786dada3728dd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2024-10-25T22:38:39Z",
"title_canon_sha256": "b60493540a60590d195154426d0cf58629e288fe03197cefa509283a219df9d6"
},
"schema_version": "1.0",
"source": {
"id": "2410.19995",
"kind": "arxiv",
"version": 1
}
}