Pith Number
pith:H3MJRMJW
pith:2023:H3MJRMJWOCZTNI5QLOY4U2VNNR
not attested
not anchored
not stored
refs pending
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
arxiv:2401.08664 v3 · 2023-12-27 · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H3MJRMJWOCZTNI5QLOY4U2VNNR}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:12:29.762369Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3ed898b13670b336a3b05bb1ca6aad6c53a425b57a0d24d2e16b62a20f72eb4e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H3MJRMJWOCZTNI5QLOY4U2VNNR \
| 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: 3ed898b13670b336a3b05bb1ca6aad6c53a425b57a0d24d2e16b62a20f72eb4e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c594fe0fd178c26e4831c1a83136c50b841e0bfd2267807887159597080e6d05",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-12-27T14:37:32Z",
"title_canon_sha256": "2c0b95bb2ecb655193202bb83a2f13770c2d84a2e4fc536beaafc004bcd29a53"
},
"schema_version": "1.0",
"source": {
"id": "2401.08664",
"kind": "arxiv",
"version": 3
}
}