Pith Number
pith:GVQZRS2H
pith:2024:GVQZRS2HDP4U5TRAJPUOCUUJHE
not attested
not anchored
not stored
refs pending
Large Language Models as Neurolinguistic Subjects: Discrepancy between Performance and Competence
arxiv:2411.07533 v3 · 2024-11-12 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GVQZRS2HDP4U5TRAJPUOCUUJHE}
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
Author claim
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claim
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.
Receipt and verification
| First computed | 2026-07-05T11:35:52.111595Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
356198cb471bf94ece204be8e15289392f8bea61ed2bce81435e22dc09633bdf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GVQZRS2HDP4U5TRAJPUOCUUJHE \
| 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: 356198cb471bf94ece204be8e15289392f8bea61ed2bce81435e22dc09633bdf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e8d5f70db9680bfa0a571aa02e2226c95d2a4deff117efc1374f1a4d7b1029e1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-11-12T04:16:44Z",
"title_canon_sha256": "11e6a90bf6202dc8be8a3a6a6d67f4c34c543ddf38ade260683afa6ac25b50b7"
},
"schema_version": "1.0",
"source": {
"id": "2411.07533",
"kind": "arxiv",
"version": 3
}
}