Pith Number
pith:W4J4EYQD
pith:2023:W4J4EYQD7P7NTNEVN5PJHXYBOS
not attested
not anchored
not stored
refs pending
Where Would I Go Next? Large Language Models as Human Mobility Predictors
arxiv:2308.15197 v2 · 2023-08-29 · cs.AI · cs.SI · physics.soc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W4J4EYQD7P7NTNEVN5PJHXYBOS}
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 | 2026-07-05T07:31:31.061837Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b713c26203fbfed9b4956f5e93df017486bf52a777a77f9848a609c484a35d95
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W4J4EYQD7P7NTNEVN5PJHXYBOS \
| 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: b713c26203fbfed9b4956f5e93df017486bf52a777a77f9848a609c484a35d95
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39bc17dd52e658ea05f36ccb5b9957670ba1bc00fac66bcb1ab35c2d9827e83f",
"cross_cats_sorted": [
"cs.SI",
"physics.soc-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-08-29T10:24:23Z",
"title_canon_sha256": "08114528aea27c54113ac03db8919b37b738f92fc2bd1b7e27440fd5f162215e"
},
"schema_version": "1.0",
"source": {
"id": "2308.15197",
"kind": "arxiv",
"version": 2
}
}