Pith Number
pith:XSYH43G7
pith:2017:XSYH43G75S6PZJ6FLDP5K6ZGOU
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Tversky loss function for image segmentation using 3D fully convolutional deep networks
arxiv:1706.05721 v1 · 2017-06-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XSYH43G75S6PZJ6FLDP5K6ZGOU}
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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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:42:09.105269Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bcb07e6cdfecbcfca7c558dfd57b26750e20262482b621e1bdcd2c286f638226
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XSYH43G75S6PZJ6FLDP5K6ZGOU \
| 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: bcb07e6cdfecbcfca7c558dfd57b26750e20262482b621e1bdcd2c286f638226
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "685d8da8e2354ff5fb0e9f18f9ae139cdd62071b2a77c63dfbcb829c6d5ea62a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-06-18T20:35:27Z",
"title_canon_sha256": "61e5ef8eb8648edc482481cc9e25d6263291522046980c92bc4c3b2a95548956"
},
"schema_version": "1.0",
"source": {
"id": "1706.05721",
"kind": "arxiv",
"version": 1
}
}