Pith Number
pith:HCF5WOK5
pith:2024:HCF5WOK5YJ2JEYWBUJCXDMU2OL
not attested
not anchored
not stored
refs pending
Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images
arxiv:2411.04004 v2 · 2024-11-06 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HCF5WOK5YJ2JEYWBUJCXDMU2OL}
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
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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 | 2026-07-05T11:43:58.406814Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
388bdb395dc2749262c1a24571b29a72d13a6c03e39319aa699df21fae068310
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HCF5WOK5YJ2JEYWBUJCXDMU2OL \
| 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: 388bdb395dc2749262c1a24571b29a72d13a6c03e39319aa699df21fae068310
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f5bdbb64612b335aaaa438d081ca9c71b29ba034f8bcec674efd5875560ca43",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-11-06T15:43:51Z",
"title_canon_sha256": "7c8b9c3eebbe4fa66f408ac799253f6f254d0d73ea85271a0b0560fe56fec1d3"
},
"schema_version": "1.0",
"source": {
"id": "2411.04004",
"kind": "arxiv",
"version": 2
}
}