Pith Number
pith:25XQSRUV
pith:2023:25XQSRUVSV3EFYCJLJJ4R7WGYC
not attested
not anchored
not stored
refs pending
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
arxiv:2310.08172 v2 · 2023-10-12 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{25XQSRUVSV3EFYCJLJJ4R7WGYC}
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
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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.
Receipt and verification
| First computed | 2026-07-05T07:02:05.990672Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d76f094695957642e0495a53c8fec6c084efc9f18d790504dd6659a3afea2c05
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/25XQSRUVSV3EFYCJLJJ4R7WGYC \
| 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: d76f094695957642e0495a53c8fec6c084efc9f18d790504dd6659a3afea2c05
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d7adad470b18719e04ea9d024f0be38eedfe6a0040f6fe6039f2c055102fbce",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-10-12T09:55:45Z",
"title_canon_sha256": "ba258d80ad2138009536124507099018b7cca24e71b6484bafc2802ea143d231"
},
"schema_version": "1.0",
"source": {
"id": "2310.08172",
"kind": "arxiv",
"version": 2
}
}