Pith Number
pith:E2SPDIWZ
pith:2025:E2SPDIWZDJVSSME6VLHU4GAGPO
not attested
not anchored
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refs pending
Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
arxiv:2502.05879 v1 · 2025-02-09 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E2SPDIWZDJVSSME6VLHU4GAGPO}
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
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 | 2026-07-05T10:11:44.607134Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
26a4f1a2d91a6b29309eaacf4e18067b8066aff1d26cad0293c2a1115cf0339d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E2SPDIWZDJVSSME6VLHU4GAGPO \
| 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: 26a4f1a2d91a6b29309eaacf4e18067b8066aff1d26cad0293c2a1115cf0339d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ce3e2dfeb59373ab97861204b407101144106bde8c4235dbb2b420262332eaf",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-09T12:30:57Z",
"title_canon_sha256": "5f6bdb7cd7ae2e985167e55b58116d4f478d615f2a333bc459faa2749237e708"
},
"schema_version": "1.0",
"source": {
"id": "2502.05879",
"kind": "arxiv",
"version": 1
}
}