Pith Number
pith:DW3IZJMQ
pith:2024:DW3IZJMQRLYFLLHZRXIPZZGCPZ
not attested
not anchored
not stored
refs pending
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model
arxiv:2408.06350 v2 · 2024-07-24 · cs.HC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DW3IZJMQRLYFLLHZRXIPZZGCPZ}
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 | 2026-06-23T01:11:52.671864Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1db68ca5908af055acf98dd0fce4c27e672e067401ee4c2c1a37a8f6909a0392
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DW3IZJMQRLYFLLHZRXIPZZGCPZ \
| 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: 1db68ca5908af055acf98dd0fce4c27e672e067401ee4c2c1a37a8f6909a0392
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cba0ae2c67fa6cb4df5181c8d166b21395eedcad0b0172e62ce1bf7d6d245933",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2024-07-24T04:08:59Z",
"title_canon_sha256": "7b779d9373e3ccfb73ca0a73545a9fb04aed23c5bdf28a62fe457a4a6df924ae"
},
"schema_version": "1.0",
"source": {
"id": "2408.06350",
"kind": "arxiv",
"version": 2
}
}