Pith Number
pith:PGRVAQSG
pith:2018:PGRVAQSGLWPFSCP34NYK22IMBN
not attested
not anchored
not stored
refs pending
Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning
arxiv:1809.05781 v1 · 2018-09-15 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PGRVAQSGLWPFSCP34NYK22IMBN}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:05:36.515397Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79a35042465d9e5909fbe370ad690c0b738e44daf670c3bdc7e96700b32fe2d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PGRVAQSGLWPFSCP34NYK22IMBN \
| 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: 79a35042465d9e5909fbe370ad690c0b738e44daf670c3bdc7e96700b32fe2d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "05597f4b9978308975a5aa76dcd10f4bf2e1c54a8cbcd2a49c1a803b2407fc61",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-09-15T23:57:34Z",
"title_canon_sha256": "5b08f02f97bea3f89154af6b4a40bf86c34c8037d73c4d80cb2e13a5b1de470c"
},
"schema_version": "1.0",
"source": {
"id": "1809.05781",
"kind": "arxiv",
"version": 1
}
}