Pith Number
pith:FC7B2OJA
pith:2022:FC7B2OJAGHCNKKWTFDJ45EGDXG
not attested
not anchored
not stored
refs pending
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
arxiv:2211.00611 v5 · 2022-11-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FC7B2OJAGHCNKKWTFDJ45EGDXG}
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
✓
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 | 2026-07-05T05:33:20.536077Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28be1d392031c4d52ad328d3ce90c3b98b8880b86ac6fe5827bb177e793776d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FC7B2OJAGHCNKKWTFDJ45EGDXG \
| 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: 28be1d392031c4d52ad328d3ce90c3b98b8880b86ac6fe5827bb177e793776d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5811854979660f11cba7ee4263380fdf85a6da9e362aff06a4b8bc6f238e54ca",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-11-01T17:24:44Z",
"title_canon_sha256": "570ac1456d1088483a5af33ff1a1936e32dd7c679829585e6ed40291796808cf"
},
"schema_version": "1.0",
"source": {
"id": "2211.00611",
"kind": "arxiv",
"version": 5
}
}