Pith Number
pith:F5PHF4LO
pith:2025:F5PHF4LOLD7RWQTTJJKNRX242D
not attested
not anchored
not stored
refs pending
DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography
arxiv:2505.22685 v2 · 2025-05-27 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F5PHF4LOLD7RWQTTJJKNRX242D}
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 | 2026-07-05T11:19:27.341421Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2f5e72f16e58ff1b42734a54d8df5cd0efc1417fedfb811b1ea6868b28469d13
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F5PHF4LOLD7RWQTTJJKNRX242D \
| 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: 2f5e72f16e58ff1b42734a54d8df5cd0efc1417fedfb811b1ea6868b28469d13
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "175af3174dedffd7f21b43e1dcb1d8bf1dc79162dd2e13033535f9dee32b84a7",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-05-27T10:56:37Z",
"title_canon_sha256": "b4905f2ccac2340c0012bc8c6feb3f734ab0d90adc1b1d79862ccae909fe712a"
},
"schema_version": "1.0",
"source": {
"id": "2505.22685",
"kind": "arxiv",
"version": 2
}
}