Pith Number
pith:A6QBSDCS
pith:2024:A6QBSDCSTYHWR3TUFLBEDVIQRN
not attested
not anchored
not stored
refs pending
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
arxiv:2407.17033 v1 · 2024-07-24 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A6QBSDCSTYHWR3TUFLBEDVIQRN}
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Record completeness
1
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 | 2026-07-05T08:48:01.342467Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
07a0190c529e0f68ee742ac241d5108b4ea84035d36a921315cea1b39f2721d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A6QBSDCSTYHWR3TUFLBEDVIQRN \
| 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: 07a0190c529e0f68ee742ac241d5108b4ea84035d36a921315cea1b39f2721d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f58aae9a47eed5263a920af5e168f6ec1050702610eb1c9db0e5f088cbf78fba",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-24T06:39:58Z",
"title_canon_sha256": "a8e4337763a42ad2bb66bce6a33e28023181d16bbc794938bf514eebc73f7536"
},
"schema_version": "1.0",
"source": {
"id": "2407.17033",
"kind": "arxiv",
"version": 1
}
}