Pith Number
pith:HCHRNTQG
pith:2022:HCHRNTQG35KBIQ6R22MZYHVR7C
not attested
not anchored
not stored
refs pending
Structural constrained virtual histology staining for human coronary imaging using deep learning
arxiv:2211.06737 v1 · 2022-11-12 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HCHRNTQG35KBIQ6R22MZYHVR7C}
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 | 2026-07-05T05:15:44.754849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
388f16ce06df541443d1d6999c1eb1f8bc7df9ea3667a0da62da26c9a79a1068
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HCHRNTQG35KBIQ6R22MZYHVR7C \
| 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: 388f16ce06df541443d1d6999c1eb1f8bc7df9ea3667a0da62da26c9a79a1068
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39ceb31a8186d45d6369f94df60ebd26e026ce1654069187d72e601c6f070919",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-11-12T20:25:04Z",
"title_canon_sha256": "839a1277dc3b0a5e4e62b6376bd6150cc5ee1211dc0a9534ae9ed62fe61db155"
},
"schema_version": "1.0",
"source": {
"id": "2211.06737",
"kind": "arxiv",
"version": 1
}
}