Pith Number
pith:MIZYZMEN
pith:2024:MIZYZMEN5H356CDAKKQCTWF4YC
not attested
not anchored
not stored
refs pending
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
arxiv:2403.03891 v1 · 2024-03-06 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MIZYZMEN5H356CDAKKQCTWF4YC}
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 | 2026-07-05T07:53:02.756342Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62338cb08de9f7df086052a029d8bcc09705a7610a3a2c82ee84267f995e3d27
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MIZYZMEN5H356CDAKKQCTWF4YC \
| 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: 62338cb08de9f7df086052a029d8bcc09705a7610a3a2c82ee84267f995e3d27
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5905b5ad254b5df9dcb1789ecb7171a02642a23501e5a0fd854621714e3db5c4",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-03-06T17:51:04Z",
"title_canon_sha256": "ed8b7c32e5e9387a9991b6d81d9126149defbea0ff00b55a161e876dc2a46dbc"
},
"schema_version": "1.0",
"source": {
"id": "2403.03891",
"kind": "arxiv",
"version": 1
}
}