Pith Number
pith:O2GZXSGN
pith:2020:O2GZXSGNPKNIP5HCKGGZ6TKEHN
not attested
not anchored
not stored
refs pending
Robustification of Segmentation Models Against Adversarial Perturbations In Medical Imaging
arxiv:2009.11090 v1 · 2020-09-23 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O2GZXSGNPKNIP5HCKGGZ6TKEHN}
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
· sign in to
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.
Receipt and verification
| First computed | 2026-07-05T01:37:36.197190Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
768d9bc8cd7a9a87f4e2518d9f4d443b48ba7b262ed95817af6b87bd984b3b0d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O2GZXSGNPKNIP5HCKGGZ6TKEHN \
| 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: 768d9bc8cd7a9a87f4e2518d9f4d443b48ba7b262ed95817af6b87bd984b3b0d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3079b721f150d849400cd51919a65cd440fd9f919a8b1c42a0a6bfb9e7e692ee",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-09-23T12:18:05Z",
"title_canon_sha256": "ec769cb55002f3582ec52c1a1513c034a9a988d779593b08bdf8908bad12a1ba"
},
"schema_version": "1.0",
"source": {
"id": "2009.11090",
"kind": "arxiv",
"version": 1
}
}