Pith Number
pith:IDDXPVK2
pith:2023:IDDXPVK2G6KSS4KVLPNLKZO2ZQ
not attested
not anchored
not stored
refs pending
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
arxiv:2310.16794 v2 · 2023-10-25 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IDDXPVK2G6KSS4KVLPNLKZO2ZQ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:17:29.138528Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
40c777d55a37952971555bdab565dacc3a43f22b347ab8252ec09884e5c7e819
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IDDXPVK2G6KSS4KVLPNLKZO2ZQ \
| 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: 40c777d55a37952971555bdab565dacc3a43f22b347ab8252ec09884e5c7e819
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6dd4b852a75ae33fc526bd3b6c9bb4149096ac6cd537d279e17b95875163f39",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-10-25T17:24:38Z",
"title_canon_sha256": "ce43dd6cb0ea33616efd7505bdc3957824c07ac59cf3cf9aaf88a2e47e26da29"
},
"schema_version": "1.0",
"source": {
"id": "2310.16794",
"kind": "arxiv",
"version": 2
}
}