Pith Number
pith:USXHSMYT
pith:2026:USXHSMYTMBIJAPDGXCNFNBN5LC
not attested
not anchored
not stored
refs pending
Do Gains from Generative AI-Enabled Adaptive Pretesting Persist? Evidence from a Retention Study
arxiv:2606.22328 v1 · 2026-06-21 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{USXHSMYTMBIJAPDGXCNFNBN5LC}
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
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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 | 2026-06-23T02:13:34.982606Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a4ae7933136050903c66b89a5685bd588e160e0327ce1495aacf69e07dd16ac7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/USXHSMYTMBIJAPDGXCNFNBN5LC \
| 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: a4ae7933136050903c66b89a5685bd588e160e0327ce1495aacf69e07dd16ac7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b284a146d02f789bfb09f913264dd41523f4ff10124d436733d2961317439187",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2026-06-21T04:34:29Z",
"title_canon_sha256": "ff01591b222c4d4b9eac35e453a7416bdf06f454607d9b79899209fcf5b51b55"
},
"schema_version": "1.0",
"source": {
"id": "2606.22328",
"kind": "arxiv",
"version": 1
}
}