Pith Number
pith:ICMWXKSR
pith:2024:ICMWXKSRC5UIFLFCJ5IQRZIYPX
not attested
not anchored
not stored
refs pending
AWARE Narrator and the Utilization of Large Language Models to Extract Behavioral Insights from Smartphone Sensing Data
arxiv:2411.04691 v1 · 2024-11-07 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ICMWXKSRC5UIFLFCJ5IQRZIYPX}
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
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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 | 2026-07-05T09:32:23.913484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
40996baa51176882aca24f5108e5187ddb7d3db476ba8630ec5dfaa6b8f85941
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ICMWXKSRC5UIFLFCJ5IQRZIYPX \
| 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: 40996baa51176882aca24f5108e5187ddb7d3db476ba8630ec5dfaa6b8f85941
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f570c57d1014a29407fc0f64bad399555225a927bff4af810cbfd9102c3d21b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2024-11-07T13:23:57Z",
"title_canon_sha256": "c1a4ce92e9de6d0a9e4ddf992c2c2cad25f0ad492658503faed525ee3b6d582d"
},
"schema_version": "1.0",
"source": {
"id": "2411.04691",
"kind": "arxiv",
"version": 1
}
}