Pith Number
pith:NB2ORX5C
pith:2024:NB2ORX5CLZNBRVI7F53IAFJ2W5
not attested
not anchored
not stored
refs pending
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
arxiv:2406.13558 v2 · 2024-06-19 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NB2ORX5CLZNBRVI7F53IAFJ2W5}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:35:48.086249Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6874e8dfa25e5a18d51f2f7680153ab7627eb90334bdb8bd2baca0561ef9a8ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NB2ORX5CLZNBRVI7F53IAFJ2W5 \
| 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: 6874e8dfa25e5a18d51f2f7680153ab7627eb90334bdb8bd2baca0561ef9a8ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4fe90ba87414f6aef7874c317b415157f50a36980231c9eaef0cd715a8c6b977",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-06-19T13:46:08Z",
"title_canon_sha256": "0359cb1a0cc38e4d3b05e60d16b0774b6200fa817f267da5d8435c1ea5a7ea22"
},
"schema_version": "1.0",
"source": {
"id": "2406.13558",
"kind": "arxiv",
"version": 2
}
}