Pith Number
pith:MYHQHXCK
pith:2024:MYHQHXCKMABBDB5DXVU7HOIIRI
not attested
not anchored
not stored
refs pending
Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation Learning
arxiv:2406.13977 v2 · 2024-06-20 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MYHQHXCKMABBDB5DXVU7HOIIRI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T09:35:49.887986Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
660f03dc4a60021187a3bd69f3b9088a391618f098180fef8d5897d6efc03eec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MYHQHXCKMABBDB5DXVU7HOIIRI \
| 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: 660f03dc4a60021187a3bd69f3b9088a391618f098180fef8d5897d6efc03eec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fbb93c645bd591f51c8a77e02ca22c296a5d6b8b8e305f0031705315c0984c22",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-06-20T03:54:41Z",
"title_canon_sha256": "4b7a27de10facf26ec064a424e25708f9852d567ec21f9fa936726729897bf06"
},
"schema_version": "1.0",
"source": {
"id": "2406.13977",
"kind": "arxiv",
"version": 2
}
}