Pith Number
pith:EPA2E2O3
pith:2021:EPA2E2O3HOYO4VKC4F3Q6HNOTW
not attested
not anchored
not stored
refs pending
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
arxiv:2111.11629 v2 · 2021-11-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EPA2E2O3HOYO4VKC4F3Q6HNOTW}
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 | 2026-07-05T03:36:58.695403Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23c1a269db3bb0ee5542e1770f1dae9d906ea4627163759687b44f23ea148268
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EPA2E2O3HOYO4VKC4F3Q6HNOTW \
| 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: 23c1a269db3bb0ee5542e1770f1dae9d906ea4627163759687b44f23ea148268
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a43e1cb51c1645609d3e036e230a08bec96c0f46b062cb36ac74811e4fe369c8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-11-23T03:26:24Z",
"title_canon_sha256": "e1f7bf97c187db58a6dc91bf5ca0f7d82c15e49386d33bd1204201074115342f"
},
"schema_version": "1.0",
"source": {
"id": "2111.11629",
"kind": "arxiv",
"version": 2
}
}