Pith Number
pith:74X662NM
pith:2026:74X662NML2OFMGVEIUW347NDZV
not attested
not anchored
not stored
refs pending
Diffuse to Detect: Generative Diffusion Models for Unsupervised IC Anomaly Detection
arxiv:2605.26468 v1 · 2026-05-26 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{74X662NML2OFMGVEIUW347NDZV}
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.
Receipt and verification
| First computed | 2026-05-27T01:05:19.639104Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff2fef69ac5e9c561aa4452dbe7da3cd523cd07d0a41b0dd35faa224cc85593f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/74X662NML2OFMGVEIUW347NDZV \
| 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: ff2fef69ac5e9c561aa4452dbe7da3cd523cd07d0a41b0dd35faa224cc85593f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9da9f029fe9cecdd5f5d76e1a112c7b07567abbddd3e83d0ef351898b2f0fd06",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-26T02:24:44Z",
"title_canon_sha256": "5330bbb04bccbad423fc1ac5450f09e08e968f417958c6ad5a87ae5ae315eedc"
},
"schema_version": "1.0",
"source": {
"id": "2605.26468",
"kind": "arxiv",
"version": 1
}
}