Pith Number
pith:P2IKPGBY
pith:2017:P2IKPGBYH65DYDDOOWO4MOJD7N
not attested
not anchored
not stored
refs pending
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling
arxiv:1710.07831 v1 · 2017-10-21 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P2IKPGBYH65DYDDOOWO4MOJD7N}
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
Author claim
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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 | 2026-05-18T00:32:19.601982Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7e90a798383fba3c0c6e759dc63923fb769036fb85c5d363d8adccf315efc1c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P2IKPGBYH65DYDDOOWO4MOJD7N \
| 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: 7e90a798383fba3c0c6e759dc63923fb769036fb85c5d363d8adccf315efc1c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00f7e4966297d83fa7f5e1c979f9991241000c6e8f2c678533c9dea7490a4bf8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-21T17:40:12Z",
"title_canon_sha256": "2e7ccd214736a3653ab6c647de8bb1c676e6ebcaa8dc0c0bb343979fa740fc99"
},
"schema_version": "1.0",
"source": {
"id": "1710.07831",
"kind": "arxiv",
"version": 1
}
}