Pith Number
pith:DNG53UGH
pith:2025:DNG53UGH2W2HQZ2V3OTHBWS7PJ
not attested
not anchored
not stored
refs pending
PersonaAI: Leveraging Retrieval-Augmented Generation and Personalized Context for AI-Driven Digital Avatars
arxiv:2503.15489 v1 · 2025-01-03 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DNG53UGH2W2HQZ2V3OTHBWS7PJ}
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 | 2026-07-05T10:35:50.988500Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b4dddd0c7d5b4786755dba670da5f7a5bc71c673b416a1d5118efe44817fcc5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DNG53UGH2W2HQZ2V3OTHBWS7PJ \
| 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: 1b4dddd0c7d5b4786755dba670da5f7a5bc71c673b416a1d5118efe44817fcc5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4dbac441f544aae483dc764aabeae220e511964383c466e3dedc38cc0d94514b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-01-03T00:31:28Z",
"title_canon_sha256": "20e9abfabe3165e4b8ce3acee90464a091064fd1410bad05f0707783dabff99f"
},
"schema_version": "1.0",
"source": {
"id": "2503.15489",
"kind": "arxiv",
"version": 1
}
}