Pith Number
pith:3IWVQKD5
pith:2026:3IWVQKD5GODZCIBTXGBTIUZO6P
not attested
not anchored
not stored
refs pending
CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting
arxiv:2606.05413 v1 · 2026-06-03 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3IWVQKD5GODZCIBTXGBTIUZO6P}
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 | 2026-06-05T00:13:56.963332Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da2d58287d3387912033b98334532ef3ef93dc12c3d3bca56231876c9a10c245
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IWVQKD5GODZCIBTXGBTIUZO6P \
| 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: da2d58287d3387912033b98334532ef3ef93dc12c3d3bca56231876c9a10c245
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a77831cf67dfae3c76f861cb86394276d6cf9912e07f689473bbf5dfcf65fc8e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-03T20:27:48Z",
"title_canon_sha256": "ba4426795cbfdd73b236dc0bc62af5afcbcf6c67ea7a31090fe191e873c1c3a0"
},
"schema_version": "1.0",
"source": {
"id": "2606.05413",
"kind": "arxiv",
"version": 1
}
}