Pith Number
pith:YYSRUFPI
pith:2025:YYSRUFPIQXS26LNFLEOLII6YBU
not attested
not anchored
not stored
refs pending
Computed Tomography (CT)-derived Cardiovascular Flow Estimation Using Physics-Informed Neural Networks Improves with Sinogram-based Training: A Simulation Study
arxiv:2511.03876 v1 · 2025-11-05 · eess.IV · cs.CV · cs.LG · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YYSRUFPIQXS26LNFLEOLII6YBU}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-06-19T16:09:52.046748Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c6251a15e885e5af2da5591cb423d80d3f4282d3747540d39cf855fad666bfec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YYSRUFPIQXS26LNFLEOLII6YBU \
| 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: c6251a15e885e5af2da5591cb423d80d3f4282d3747540d39cf855fad666bfec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a55f36cc17bbcfe7f4de69405b8a149da1e2930978e69b30438a972eb3ed3196",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"physics.med-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-11-05T21:44:47Z",
"title_canon_sha256": "d9d2cdb439e675e14ac50c9bf20819718c7862335943c61e2ec6b44a057a64ed"
},
"schema_version": "1.0",
"source": {
"id": "2511.03876",
"kind": "arxiv",
"version": 1
}
}