Pith Number
pith:3K52SJPS
pith:2025:3K52SJPSKLVFZBHSH5XYSYGLFR
not attested
not anchored
not stored
refs pending
A Driving Regime-Embedded Deep Learning Framework for Modeling Intra-Driver Heterogeneity in Multi-Scale Car-Following Dynamics
arxiv:2506.05902 v1 · 2025-06-06 · cs.LG · physics.soc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3K52SJPSKLVFZBHSH5XYSYGLFR}
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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 | 2026-07-05T11:17:12.440258Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dabba925f252ea5c84f23f6f8960cb2c5eeb16a1207e89531367b9ca93fa494f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3K52SJPSKLVFZBHSH5XYSYGLFR \
| 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: dabba925f252ea5c84f23f6f8960cb2c5eeb16a1207e89531367b9ca93fa494f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1dc0b9389b2426f2ab084afd5971007d04722df9917fd2d4e3542b79396ae848",
"cross_cats_sorted": [
"physics.soc-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-06T09:19:33Z",
"title_canon_sha256": "7707b0378a2f731f41e414a93c57019bf3e635d922e25335842aad9cd41a6fe6"
},
"schema_version": "1.0",
"source": {
"id": "2506.05902",
"kind": "arxiv",
"version": 1
}
}