pith. sign in
Pith Number

pith:HGNAYS5T

pith:2017:HGNAYS5TTWWGZ7JAU5B2C2R5CM
not attested not anchored not stored refs pending

Towards CT-quality Ultrasound Imaging using Deep Learning

Alex M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Ortal Senouf, Sanketh Vedula

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 1710.06304 · arxiv_version: 1710.06304v1 · doi: 10.48550/arxiv.1710.06304 · pith_short_12: HGNAYS5TTWWG · pith_short_16: HGNAYS5TTWWGZ7JA · pith_short_8: HGNAYS5T
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
  }
}