Pith Number
pith:HGNAYS5T
pith:2017:HGNAYS5TTWWGZ7JAU5B2C2R5CM
not attested
not anchored
not stored
refs pending
Towards CT-quality Ultrasound Imaging using Deep Learning
arxiv:1710.06304 v1 · 2017-10-17 · cs.CV · eess.IV · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HGNAYS5TTWWGZ7JAU5B2C2R5CM}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:32:32.295394Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
399a0c4bb39dac6cfd20a743a16a3d13055c678c2ec63009da35c9ccf47e44c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HGNAYS5TTWWGZ7JAU5B2C2R5CM \
| 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: 399a0c4bb39dac6cfd20a743a16a3d13055c678c2ec63009da35c9ccf47e44c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be7db69c659a1875883a247c92832429a4d4191ddef84358873300b079a859a6",
"cross_cats_sorted": [
"eess.IV",
"physics.med-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-17T14:11:57Z",
"title_canon_sha256": "8d355337b32e44dda08410b3e802a7596d0acf54922be1b7c3a4abaa1033baf1"
},
"schema_version": "1.0",
"source": {
"id": "1710.06304",
"kind": "arxiv",
"version": 1
}
}