Pith Number
pith:FAMZCTEZ
pith:2018:FAMZCTEZB44TPUPIX2V6EIDZUJ
not attested
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not stored
refs pending
Machine learning architectures to predict motion sickness using a Virtual Reality rollercoaster simulation tool
arxiv:1811.01106 v1 · 2018-11-02 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FAMZCTEZB44TPUPIX2V6EIDZUJ}
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 | 2026-05-18T00:01:37.112340Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2819914c990f3937d1e8beabe22079a25de36ace37a790c67bc492f4be1e1de6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FAMZCTEZB44TPUPIX2V6EIDZUJ \
| 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: 2819914c990f3937d1e8beabe22079a25de36ace37a790c67bc492f4be1e1de6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d951605fd585b0896902723d16e08ee3dd5ebe35c996a69a8eebefdbfb716ab",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2018-11-02T22:02:40Z",
"title_canon_sha256": "2a4fc09239189f2e7fcf031669ed6fedddaf1138ce81cf4b0dbeb7f0f69d4c80"
},
"schema_version": "1.0",
"source": {
"id": "1811.01106",
"kind": "arxiv",
"version": 1
}
}