Pith Number
pith:GEPTG72P
pith:2025:GEPTG72PGK7IT2UTCC7MJ7HVPD
not attested
not anchored
not stored
refs pending
SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
arxiv:2509.03973 v1 · 2025-09-04 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GEPTG72PGK7IT2UTCC7MJ7HVPD}
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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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 | 2026-07-05T12:04:50.837724Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
311f337f4f32be89ea9310bec4fcf578e926f445db3045e80129cadbaf5835d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GEPTG72PGK7IT2UTCC7MJ7HVPD \
| 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: 311f337f4f32be89ea9310bec4fcf578e926f445db3045e80129cadbaf5835d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e282a6def8d7bfee107cfed370851c81c161d8e266158d518df587546677d3ac",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-09-04T07:58:52Z",
"title_canon_sha256": "9d19d6728f66d322adbafd7c8472d993e59254f3407224f1ed518956601560f8"
},
"schema_version": "1.0",
"source": {
"id": "2509.03973",
"kind": "arxiv",
"version": 1
}
}