Pith Number
pith:APOHT7C4
pith:2019:APOHT7C4EO3J4HSO2SVUMOAVOZ
not attested
not anchored
not stored
refs pending
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
arxiv:1901.11369 v2 · 2019-01-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{APOHT7C4EO3J4HSO2SVUMOAVOZ}
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 | 2026-05-17T23:39:30.472208Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
03dc79fc5c23b69e1e4ed4ab46381576458fc623768cc15ad5d9e64d5bb3952c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/APOHT7C4EO3J4HSO2SVUMOAVOZ \
| 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: 03dc79fc5c23b69e1e4ed4ab46381576458fc623768cc15ad5d9e64d5bb3952c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3ab2e0d484eff3020cd39be3b6f68ab2df478eb10595f7b3ea9c120ef972dd04",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-31T14:17:36Z",
"title_canon_sha256": "8315e390d185f24c1da2b4cea43b637b11b81211387c24191f78a37e9627f348"
},
"schema_version": "1.0",
"source": {
"id": "1901.11369",
"kind": "arxiv",
"version": 2
}
}