Pith Number
pith:TUMVQYR4
pith:2020:TUMVQYR47XQNBAV4W54FMDXQAF
not attested
not anchored
not stored
refs pending
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
arxiv:2007.15897 v1 · 2020-07-31 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TUMVQYR47XQNBAV4W54FMDXQAF}
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
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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.
Receipt and verification
| First computed | 2026-07-05T01:23:39.537950Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d1958623cfde0d082bcb778560ef0016154f391ebfc72c8876efc4b1619f44d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TUMVQYR47XQNBAV4W54FMDXQAF \
| 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: 9d1958623cfde0d082bcb778560ef0016154f391ebfc72c8876efc4b1619f44d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "950f1700dbf99cb02d2a7e827e0a3977dc684c0c93241eab07f324bbb0679bf2",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-07-31T08:24:34Z",
"title_canon_sha256": "4f01afe15f6c91116c18a30d1f790a63d94508f725a044c804453081295ad1e1"
},
"schema_version": "1.0",
"source": {
"id": "2007.15897",
"kind": "arxiv",
"version": 1
}
}