Pith Number
pith:65KMTEJW
pith:2024:65KMTEJW3YNLXBWDLCGNNMTKLR
not attested
not anchored
not stored
refs pending
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation
arxiv:2405.14444 v1 · 2024-05-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{65KMTEJW3YNLXBWDLCGNNMTKLR}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:22:14.699276Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f754c99136de1abb86c3588cd6b26a5c5cb98c965aecd72dc8bbd90976121ac4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/65KMTEJW3YNLXBWDLCGNNMTKLR \
| 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: f754c99136de1abb86c3588cd6b26a5c5cb98c965aecd72dc8bbd90976121ac4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bed6a184b041382fbef8867a421cfabc770517172833419f1d119760b9b06296",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-05-23T11:23:57Z",
"title_canon_sha256": "77636c64ef97383cf09a97dba57632e42168391aa1deb7ae27725f4b24e47ef6"
},
"schema_version": "1.0",
"source": {
"id": "2405.14444",
"kind": "arxiv",
"version": 1
}
}