Pith Number
pith:ILIWBCKN
pith:2021:ILIWBCKNX6XFKIFVDPVDFWVY3H
not attested
not anchored
not stored
refs pending
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning
arxiv:2111.03063 v1 · 2021-11-04 · eess.IV · cs.CV · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ILIWBCKNX6XFKIFVDPVDFWVY3H}
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 | 2026-07-05T03:29:20.047965Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
42d160894dbfae5520b51bea32dab8d9d2f5c816dc3deafad838827b5b8a91ac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ILIWBCKNX6XFKIFVDPVDFWVY3H \
| 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: 42d160894dbfae5520b51bea32dab8d9d2f5c816dc3deafad838827b5b8a91ac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "875d533656b68dcc6ac14bbd82ba3d9d0d60f2a39bb113f901ff24076ff6feef",
"cross_cats_sorted": [
"cs.CV",
"q-bio.QM"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-11-04T09:35:12Z",
"title_canon_sha256": "4ea4e6ec7b78830306b3f99adc81908e69afff50672f123c9aa97c6f0ef49157"
},
"schema_version": "1.0",
"source": {
"id": "2111.03063",
"kind": "arxiv",
"version": 1
}
}