Pith Number
pith:ZFXHW4LQ
pith:2026:ZFXHW4LQACXWN6JWBWOJG24UJL
not attested
not anchored
not stored
refs pending
CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation
arxiv:2603.09316 v2 · 2026-03-10 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZFXHW4LQACXWN6JWBWOJG24UJL}
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 | 2026-06-23T02:13:22.300702Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c96e7b717000af66f9360d9c936b944ad76b11b667f47bf07109f1e97f6f72c6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZFXHW4LQACXWN6JWBWOJG24UJL \
| 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: c96e7b717000af66f9360d9c936b944ad76b11b667f47bf07109f1e97f6f72c6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fcdea8321d0e27dca319a0fa3351c742dff9a239374fec1500d141146a31ddce",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-03-10T07:49:58Z",
"title_canon_sha256": "595e81155630935b4de22ab42731e126b7f4d0c29ac886cffc164bb6f0bb4243"
},
"schema_version": "1.0",
"source": {
"id": "2603.09316",
"kind": "arxiv",
"version": 2
}
}