Pith Number
pith:67EBG4QB
pith:2019:67EBG4QB55JNEOISX3YQV6JNN4
not attested
not anchored
not stored
refs pending
Data augmentation using learned transformations for one-shot medical image segmentation
arxiv:1902.09383 v2 · 2019-02-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{67EBG4QB55JNEOISX3YQV6JNN4}
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 | 2026-05-17T23:49:14.568996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7c8137201ef52d23912bef10af92d6f13b127e35fa684951d166a2b4a620e0b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/67EBG4QB55JNEOISX3YQV6JNN4 \
| 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: f7c8137201ef52d23912bef10af92d6f13b127e35fa684951d166a2b4a620e0b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9faa906261e9939ca7e1b4fcfb7f3c71afb07c00a293582e63d14537c8b0e2ec",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-02-25T15:49:47Z",
"title_canon_sha256": "4e0cc01bc9381e921ac6ef3360583c5840b9212674eb233d4b0d937eb1e5f90a"
},
"schema_version": "1.0",
"source": {
"id": "1902.09383",
"kind": "arxiv",
"version": 2
}
}