Pith Number
pith:ULLFWI4U
pith:2018:ULLFWI4UQ3RZCCRWSMYX6P54EA
not attested
not anchored
not stored
refs pending
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
arxiv:1804.04488 v1 · 2018-04-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ULLFWI4UQ3RZCCRWSMYX6P54EA}
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 | 2026-05-17T23:48:17.444273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a2d65b239486e3910a3693317f3fbc20111faa06fbbad55676e00e35c4feea22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ULLFWI4UQ3RZCCRWSMYX6P54EA \
| 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: a2d65b239486e3910a3693317f3fbc20111faa06fbbad55676e00e35c4feea22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f00c2105216d225d894b9586e2ef724fec5e18a3c0be0662a6be0e3ef8b1cb34",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-12T13:13:29Z",
"title_canon_sha256": "18df4489e05f683081903c9a423bf1b847efc5b69b0d38c11aec7108196b67ce"
},
"schema_version": "1.0",
"source": {
"id": "1804.04488",
"kind": "arxiv",
"version": 1
}
}