Pith Number
pith:GQFHO63T
pith:2026:GQFHO63TWV3VMHSFELM3QQ4TSU
not attested
not anchored
not stored
refs pending
When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs
arxiv:2605.29420 v1 · 2026-05-28 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GQFHO63TWV3VMHSFELM3QQ4TSU}
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.
Receipt and verification
| First computed | 2026-05-29T01:05:37.936054Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
340a777b73b577561e4522d9b843939513f2c2e42329a88b92af1f3e7ed08733
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GQFHO63TWV3VMHSFELM3QQ4TSU \
| 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: 340a777b73b577561e4522d9b843939513f2c2e42329a88b92af1f3e7ed08733
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0d3816aa7c5ce01967b8ad1f90fc491d47151ab733dc31b7026c2b6316b21589",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-28T06:14:07Z",
"title_canon_sha256": "a3a4050f053c918c1a28697b4a6131232979d5634c257e08f42461109e45c838"
},
"schema_version": "1.0",
"source": {
"id": "2605.29420",
"kind": "arxiv",
"version": 1
}
}