Pith Number
pith:3LNBW424
pith:2024:3LNBW424FMNTH6WI6C5L54JHH5
not attested
not anchored
not stored
refs pending
An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines
arxiv:2408.16463 v1 · 2024-08-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3LNBW424FMNTH6WI6C5L54JHH5}
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
2
Internet Archive
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4
Citations
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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 | 2026-07-05T09:00:41.747249Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dada1b735c2b1b33fac8f0babef1273f5a92b489b54206c55c9330b1d3226f9f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3LNBW424FMNTH6WI6C5L54JHH5 \
| 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: dada1b735c2b1b33fac8f0babef1273f5a92b489b54206c55c9330b1d3226f9f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25eaac7e0ce43708df620d4f4836f42ca6b4b3c9cecdf5b6318d7618415384d3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-08-29T11:51:41Z",
"title_canon_sha256": "0f973c567e7f72a6b118a565c4224837c4fc58560e1be27536cc5b6516b70ea1"
},
"schema_version": "1.0",
"source": {
"id": "2408.16463",
"kind": "arxiv",
"version": 1
}
}