Pith Number
pith:HDWYG3LN
pith:2026:HDWYG3LNHPPFVUNENT7OE6VN4V
not attested
not anchored
not stored
refs pending
Predicting Response to Neoadjuvant Chemotherapy in Ovarian Cancer from CT Baseline Using Multi-Loss Deep Learning
arxiv:2605.14991 v1 · 2026-05-14 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HDWYG3LNHPPFVUNENT7OE6VN4V}
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
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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 | 2026-05-17T23:38:55.015683Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
38ed836d6d3bde5ad1a46cfee27aade57a2748f982d44778bbe69b21be662e0e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HDWYG3LNHPPFVUNENT7OE6VN4V \
| 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: 38ed836d6d3bde5ad1a46cfee27aade57a2748f982d44778bbe69b21be662e0e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fcceb61d78200677d859086dcf8943ae4e3bc41383787962af2b77fccd6abcd7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-14T15:53:57Z",
"title_canon_sha256": "e1bfd9903701a6c5950bd2885831d44854ef4b890cee3650db2746a2b38c3f87"
},
"schema_version": "1.0",
"source": {
"id": "2605.14991",
"kind": "arxiv",
"version": 1
}
}