Pith Number
pith:K7ZIQ7Q3
pith:2026:K7ZIQ7Q3SUFOJJ2WFE4WM7LYSJ
not attested
not anchored
not stored
refs pending
Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis
arxiv:2608.00006 v1 · 2026-06-08 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K7ZIQ7Q3SUFOJJ2WFE4WM7LYSJ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-08-04T00:31:37.526113Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57f2887e1b950ae4a7562939667d78926a0e04d9a85bb7a6330960ccc02aec11
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K7ZIQ7Q3SUFOJJ2WFE4WM7LYSJ \
| 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: 57f2887e1b950ae4a7562939667d78926a0e04d9a85bb7a6330960ccc02aec11
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8cfd6d3597773578cdf5a8a83fba8f72e4d63d820ce455f50d2d787177e97f72",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-06-08T15:34:04Z",
"title_canon_sha256": "d63d47134a4d48436da25230da8f67db67fdfec65c44366ae760c1df1eb61fa0"
},
"schema_version": "1.0",
"source": {
"id": "2608.00006",
"kind": "arxiv",
"version": 1
}
}