Pith Number
pith:METER2DI
pith:2017:METER2DIDFQ2G2EUUMBCUE2XL5
not attested
not anchored
not stored
refs pending
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
arxiv:1709.04496 v2 · 2017-09-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{METER2DIDFQ2G2EUUMBCUE2XL5}
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 | 2026-05-18T00:33:12.966974Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
612648e8681961a36894a3022a13575f7e7b49a16a86754bd4f1405ab8cb026d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/METER2DIDFQ2G2EUUMBCUE2XL5 \
| 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: 612648e8681961a36894a3022a13575f7e7b49a16a86754bd4f1405ab8cb026d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "54d3e581dbe2784547ad38901c0de084d3e395b972b11b52b8c52cd5751bebc1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-09-13T18:36:48Z",
"title_canon_sha256": "7d1ab7f5847198c0e1cddb79ac7bbc414a2cae6762b2d9a00e639b40ff3a110c"
},
"schema_version": "1.0",
"source": {
"id": "1709.04496",
"kind": "arxiv",
"version": 2
}
}