Pith Number
pith:R2PVYABW
pith:2025:R2PVYABWORTQ2IVTYURGIZ7FY4
not attested
not anchored
not stored
refs pending
Generative AI Practices, Literacy, and Divides: An Empirical Analysis in the Italian Context
arxiv:2512.03671 v2 · 2025-12-03 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{R2PVYABWORTQ2IVTYURGIZ7FY4}
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 | 2026-05-21T01:04:19.751127Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8e9f5c003674670d22b3c5226467e5c7048c961d60c9b14c2ec143c133cd8ac8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R2PVYABWORTQ2IVTYURGIZ7FY4 \
| 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: 8e9f5c003674670d22b3c5226467e5c7048c961d60c9b14c2ec143c133cd8ac8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0abf64e33fd16fcd94036c51bd496c870441e7e7a1a9deba71fb58e1080d51e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-12-03T11:01:28Z",
"title_canon_sha256": "dc9389b8b39b3febac70a643cce44f06de2b09ddd091a20ec5211adf5d59ce59"
},
"schema_version": "1.0",
"source": {
"id": "2512.03671",
"kind": "arxiv",
"version": 2
}
}