Pith Number
pith:F5LG4Z7J
pith:2019:F5LG4Z7JJXBZ76YOE3LNQ4WZ2V
not attested
not anchored
not stored
refs pending
Information processing constraints in travel behaviour modelling: A generative learning approach
arxiv:1907.07036 v2 · 2019-07-16 · econ.EM · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F5LG4Z7JJXBZ76YOE3LNQ4WZ2V}
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 | 2026-05-17T23:39:29.917854Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2f566e67e94dc39ffb0e26d6d872d9d5565590a6465e4b0e52420a8436262847
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F5LG4Z7JJXBZ76YOE3LNQ4WZ2V \
| 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: 2f566e67e94dc39ffb0e26d6d872d9d5565590a6465e4b0e52420a8436262847
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "389c90e1689c617ed74fc1aa01ef53f8e1cdfeaf6e52b52519a129abceca056a",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "econ.EM",
"submitted_at": "2019-07-16T14:35:23Z",
"title_canon_sha256": "3bab102bc3cfc574e9fe9a5f5a53f6ed7fe6e7ce983557a095054aeaa069aa12"
},
"schema_version": "1.0",
"source": {
"id": "1907.07036",
"kind": "arxiv",
"version": 2
}
}