Pith Number
pith:6I53KRLZ
pith:2024:6I53KRLZHCM6CI7UZ7W3XTJK7R
not attested
not anchored
not stored
refs pending
Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints
arxiv:2408.13918 v4 · 2024-08-25 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6I53KRLZHCM6CI7UZ7W3XTJK7R}
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 | 2026-07-05T10:54:35.680779Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f23bb545793899e123f4cfedbbcd2afc4f0a1b2d80d132e33a8811d315c92ce2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6I53KRLZHCM6CI7UZ7W3XTJK7R \
| 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: f23bb545793899e123f4cfedbbcd2afc4f0a1b2d80d132e33a8811d315c92ce2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "43e12b344b84664f7fd3f577d87aff22673b5be8cb8496f8f384285c62059030",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-08-25T19:03:46Z",
"title_canon_sha256": "5d17d720b3f4a451ef3c93ac5c2d67aa4795377dcfedd4a6458ffd26c9ea64d7"
},
"schema_version": "1.0",
"source": {
"id": "2408.13918",
"kind": "arxiv",
"version": 4
}
}