Pith Number
pith:B47J64AP
pith:2025:B47J64APFZD6FG7Z74YO3XQNGR
not attested
not anchored
not stored
refs pending
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
arxiv:2510.01532 v2 · 2025-10-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B47J64APFZD6FG7Z74YO3XQNGR}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-06-04T01:08:32.701910Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f3e9f700f2e47e29bf9ff30edde0d3441cc14838fbca8a3fc0a84a119ab6418
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B47J64APFZD6FG7Z74YO3XQNGR \
| 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: 0f3e9f700f2e47e29bf9ff30edde0d3441cc14838fbca8a3fc0a84a119ab6418
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ada79567ef5c6e1e0639d4a4164a2e4600bdd7705cc0b771041d5438648a0ce2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-10-02T00:08:28Z",
"title_canon_sha256": "9ed67d567faa1c4805787738acb2747e207ba3fc29ce382e38619b019fa800a7"
},
"schema_version": "1.0",
"source": {
"id": "2510.01532",
"kind": "arxiv",
"version": 2
}
}