Pith Number
pith:UPV76H4C
pith:2017:UPV76H4C7BCNGM7WW7CTPJKO3V
not attested
not anchored
not stored
refs pending
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference
arxiv:1707.00380 v1 · 2017-07-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UPV76H4C7BCNGM7WW7CTPJKO3V}
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
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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 | 2026-05-18T00:41:03.545114Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a3ebff1f82f844d333f6b7c537a54edd615aa295d6baaa07c19edf0439d2d820
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UPV76H4C7BCNGM7WW7CTPJKO3V \
| 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: a3ebff1f82f844d333f6b7c537a54edd615aa295d6baaa07c19edf0439d2d820
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "787760f47370b8ef13dad6879dc7d3f79c03e9df441699ec3bf2a67dae97d08b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-07-03T02:35:21Z",
"title_canon_sha256": "bf19c047525bb426667f603602a0c71f828ea69622e8704f350380d9fe5ec6de"
},
"schema_version": "1.0",
"source": {
"id": "1707.00380",
"kind": "arxiv",
"version": 1
}
}