Pith Number
pith:O6WHBX3I
pith:2025:O6WHBX3I62FK7PLGFOBZK27NFP
not attested
not anchored
not stored
refs pending
Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation
arxiv:2508.05008 v2 · 2025-08-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O6WHBX3I62FK7PLGFOBZK27NFP}
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 | 2026-05-17T23:39:17.765284Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
77ac70df68f68aafbd662b83956bed2bc6bc242d9210fae3df489bacb51ef0c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O6WHBX3I62FK7PLGFOBZK27NFP \
| 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: 77ac70df68f68aafbd662b83956bed2bc6bc242d9210fae3df489bacb51ef0c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "32a6927857636552a2236aa6f223efa65b5b5c571d820b630c4f9bac2933a4a5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-07T03:41:41Z",
"title_canon_sha256": "e5fee44cfc94a51e8564feaf35827c740b36a6a7503dcc12775617becadef379"
},
"schema_version": "1.0",
"source": {
"id": "2508.05008",
"kind": "arxiv",
"version": 2
}
}