Pith Number
pith:ZUZP7TD4
pith:2025:ZUZP7TD4TZKUZE3YQSVRRHFGDX
not attested
not anchored
not stored
refs pending
Educational Twin: The Influence of Artificial XR Expert Duplicates on Future Learning
arxiv:2504.13896 v1 · 2025-04-06 · cs.HC · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZUZP7TD4TZKUZE3YQSVRRHFGDX}
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 | 2026-07-05T10:51:07.911196Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd32ffcc7c9e554c937884ab189ca61dda31fea04c094efe2d7dafe68952b28d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZUZP7TD4TZKUZE3YQSVRRHFGDX \
| 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: cd32ffcc7c9e554c937884ab189ca61dda31fea04c094efe2d7dafe68952b28d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f65d5fae96dbb784e7a6e3e0e9d4da4472f38c99e324766d19d64c220049daa9",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-04-06T06:41:42Z",
"title_canon_sha256": "6d36bdbc75ef50eca72c3435341784ed00633b0bc96faf779abfa31c11abd3c5"
},
"schema_version": "1.0",
"source": {
"id": "2504.13896",
"kind": "arxiv",
"version": 1
}
}