Pith Number
pith:UXK4IWGV
pith:2025:UXK4IWGVNT32ROOP3DS4TNCBPV
not attested
not anchored
not stored
refs pending
Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
arxiv:2508.03181 v1 · 2025-08-05 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UXK4IWGVNT32ROOP3DS4TNCBPV}
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
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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 | 2026-07-05T11:48:38.447116Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a5d5c458d56cf7a8b9cfd8e5c9b4417d48ca76cce7912be86c840fc06a6ee305
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UXK4IWGVNT32ROOP3DS4TNCBPV \
| 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: a5d5c458d56cf7a8b9cfd8e5c9b4417d48ca76cce7912be86c840fc06a6ee305
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14d1646efb16d319acf293510aa022c279a93c4b8908a6ea445b8f26cf246ab6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-08-05T07:44:42Z",
"title_canon_sha256": "1c5deb923b8607b47ef52292585abf97de84ea1e017255877947bfd277b45995"
},
"schema_version": "1.0",
"source": {
"id": "2508.03181",
"kind": "arxiv",
"version": 1
}
}