Pith Number
pith:KPHRABHW
pith:2026:KPHRABHWYRI33XDDIMKK44YLJQ
not attested
not anchored
not stored
refs pending
One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training
arxiv:2608.09403 v1 · 2026-08-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KPHRABHWYRI33XDDIMKK44YLJQ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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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 | 2026-08-11T02:22:30.822128Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53cf1004f6c451bddc634314ae730b4c1315e6f86799ee2e5182a6d483ba10d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPHRABHWYRI33XDDIMKK44YLJQ \
| 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: 53cf1004f6c451bddc634314ae730b4c1315e6f86799ee2e5182a6d483ba10d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a77ac248486b5d4d0e5a7392afd478d4ee0f8c3e42b8fb7739bae8be0d5db30b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-08-10T10:28:43Z",
"title_canon_sha256": "376752686eba24d85618e5e059a1a64002a344b13f5d7f79f9ff6676dea162e8"
},
"schema_version": "1.0",
"source": {
"id": "2608.09403",
"kind": "arxiv",
"version": 1
}
}