Pith Number
pith:5FIACYF2
pith:2022:5FIACYF2YT5HBHF2ZQEZCAMJ47
not attested
not anchored
not stored
refs pending
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images
arxiv:2203.00641 v1 · 2022-03-01 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5FIACYF2YT5HBHF2ZQEZCAMJ47}
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 | 2026-07-05T04:01:19.453976Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9500160bac4fa709cbacc09910189e7c4d15dc6fd6a35717a19e963966c4d82
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5FIACYF2YT5HBHF2ZQEZCAMJ47 \
| 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: e9500160bac4fa709cbacc09910189e7c4d15dc6fd6a35717a19e963966c4d82
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c6961f14348a9561953c4b070ea3f78f44e63874099dc68628c004e93c696e0",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-03-01T17:30:28Z",
"title_canon_sha256": "ba4ce531af38b25b561f9361108638da92b8b8a9f06bf84043168deae13221ab"
},
"schema_version": "1.0",
"source": {
"id": "2203.00641",
"kind": "arxiv",
"version": 1
}
}