Pith Number
pith:P3LIY27J
pith:2019:P3LIY27J3AJB5IQULCZRP6CPE5
not attested
not anchored
not stored
refs pending
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation
arxiv:1904.13281 v1 · 2019-04-30 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P3LIY27J3AJB5IQULCZRP6CPE5}
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
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claim
4
Citations
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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 | 2026-05-17T23:47:21.751649Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7ed68c6be9d8121ea21458b317f84f277b04674e2476680b80341f1a262d7b69
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P3LIY27J3AJB5IQULCZRP6CPE5 \
| 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: 7ed68c6be9d8121ea21458b317f84f277b04674e2476680b80341f1a262d7b69
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "875a64f9ff0f9b114759e2cbaa135d6493c025990862e577582f94e10bff6eb4",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-04-30T14:42:53Z",
"title_canon_sha256": "ce1a00e6a67d2c1c4899d36ec661ee1ee283c028322b531cea0783970fa2431e"
},
"schema_version": "1.0",
"source": {
"id": "1904.13281",
"kind": "arxiv",
"version": 1
}
}