Pith Number
pith:X7HDCO7N
pith:2017:X7HDCO7NRYO3D6NAO7MXBQSCET
not attested
not anchored
not stored
refs pending
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
arxiv:1705.08302 v4 · 2017-05-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X7HDCO7NRYO3D6NAO7MXBQSCET}
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 | 2026-05-18T00:28:40.787044Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bfce313bed8e1db1f9a077d970c24224f0a85ad0a94480c90bc988d6df695e5c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X7HDCO7NRYO3D6NAO7MXBQSCET \
| 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: bfce313bed8e1db1f9a077d970c24224f0a85ad0a94480c90bc988d6df695e5c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b332c81198331d1200a2e596e06036ad984956d8b5adf79a1800a8c3360cc18",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-05-22T12:32:25Z",
"title_canon_sha256": "c8339299b6008ef7d3ca648b5ea9e43dd7920cf51565dd8d9448087570307524"
},
"schema_version": "1.0",
"source": {
"id": "1705.08302",
"kind": "arxiv",
"version": 4
}
}