Pith Number
pith:XFV5HIGJ
pith:2017:XFV5HIGJIY7AD47BJFH4DANHUM
not attested
not anchored
not stored
refs pending
An Optimal Dimensionality Multi-shell Sampling Scheme with Accurate and Efficient Transforms for Diffusion MRI
arxiv:1705.04336 v1 · 2017-04-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XFV5HIGJIY7AD47BJFH4DANHUM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-05-18T00:44:38.355081Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b96bd3a0c9463e01f3e1494fc181a7a30c7e436fd6606859ebd0f7e4ee27e0e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XFV5HIGJIY7AD47BJFH4DANHUM \
| 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: b96bd3a0c9463e01f3e1494fc181a7a30c7e436fd6606859ebd0f7e4ee27e0e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f6309b18711d7766e1998ddc2b89b02f5e809b1ab013432305f86bbc0f350dad",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-20T22:08:45Z",
"title_canon_sha256": "76e89580dd3bcc48a38dee963ee07b1a6c4b6c706a12a5984d8785e1777cf92c"
},
"schema_version": "1.0",
"source": {
"id": "1705.04336",
"kind": "arxiv",
"version": 1
}
}