Pith Number
pith:2HESH3L3
pith:2019:2HESH3L3EG7YR2PRUKMOMJFEBQ
not attested
not anchored
not stored
refs pending
Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks using Big Data Population Priors
arxiv:1906.07294 v1 · 2019-06-17 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2HESH3L3EG7YR2PRUKMOMJFEBQ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
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4
Citations
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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 | 2026-05-17T23:43:08.268108Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1c923ed7b21bf88e9f1a298e624a40c20505a68ed27cd6e49299e7ecb82aec2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2HESH3L3EG7YR2PRUKMOMJFEBQ \
| 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: d1c923ed7b21bf88e9f1a298e624a40c20505a68ed27cd6e49299e7ecb82aec2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f13b97bb9e82c062ba85d33e66cd1e0ec1e1a5766379957a88a2fd26fec2e063",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2019-06-17T22:40:32Z",
"title_canon_sha256": "0dbd4aa81ff010f26377fddc2478391d7ffb3dd72ebb074a3f94a0beba730a12"
},
"schema_version": "1.0",
"source": {
"id": "1906.07294",
"kind": "arxiv",
"version": 1
}
}