Pith Number
pith:34NOQBYC
pith:2023:34NOQBYC654AHXCYUVRU4SDC6E
not attested
not anchored
not stored
refs pending
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations
arxiv:2310.01252 v1 · 2023-10-02 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{34NOQBYC654AHXCYUVRU4SDC6E}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-07-05T06:56:24.562819Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df1ae80702f77803dc58a5634e4862f10768ff186e725daa9d44c94685a83aa2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/34NOQBYC654AHXCYUVRU4SDC6E \
| 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: df1ae80702f77803dc58a5634e4862f10768ff186e725daa9d44c94685a83aa2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "30de83b476bd5faab2ec79988797f2c7f3a6b9659f6e373a06b5a7626417bd63",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-10-02T14:40:24Z",
"title_canon_sha256": "9e7da719e0b5c350041fefec6aea756475b23bcf8d7bcb1e43768aa06de23112"
},
"schema_version": "1.0",
"source": {
"id": "2310.01252",
"kind": "arxiv",
"version": 1
}
}