Pith Number
pith:FSYCMOAF
pith:2024:FSYCMOAFZUPFQVY6DNRD7XGQ3G
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Analysis and Visualization of Linguistic Structures in Large Language Models: Neural Representations of Verb-Particle Constructions in BERT
arxiv:2412.14670 v1 · 2024-12-19 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FSYCMOAFZUPFQVY6DNRD7XGQ3G}
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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.
Receipt and verification
| First computed | 2026-07-05T09:51:51.042590Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2cb0263805cd1e58571e1b623fdcd0d9b622554f9651a1e5e0064960ace86e28
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FSYCMOAFZUPFQVY6DNRD7XGQ3G \
| 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: 2cb0263805cd1e58571e1b623fdcd0d9b622554f9651a1e5e0064960ace86e28
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a2b0df6a6c6d96398a0762ee898f9d2c5535819166c0020b0fe4a8bc3275d14b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-12-19T09:21:39Z",
"title_canon_sha256": "64de73154b83e2141d4f27d26da29b09eb40b41396510a17b2e6b4db0e25f735"
},
"schema_version": "1.0",
"source": {
"id": "2412.14670",
"kind": "arxiv",
"version": 1
}
}