Pith Number

pith:FDFBYV2C

pith:2026:FDFBYV2CIHYF4TIYAUKAWACSQY

not attested not anchored not stored refs pending

PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong

Hao Chen, Liangjun Jiang, Richard Wai Cheung Chan, Shanru Lin, Wenqi Fan, Ya-nan Ma

PriHA uses query optimization and dual retrieval to give more accurate answers to Hong Kong primary healthcare questions than standard LLMs.

arxiv:2604.14215 v2 · 2026-04-10 · cs.IR · cs.AI

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\usepackage{pith}
\pithnumber{FDFBYV2CIHYF4TIYAUKAWACSQY}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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.

Claims

C1strongest claim

Comprehensive experiments and a detailed case study demonstrate that our proposed method can outperform both ablations and baseline in terms of accuracy and clarity.

C2weakest assumption

That the mixed-source retrieval in DRAG will consistently surface accurate, up-to-date, and complete guideline fragments without introducing new factual errors or omissions for medical queries.

C3one line summary

PriHA combines query optimization with a Dual Retrieval Augmented Generation pipeline to improve accuracy and clarity of LLM responses on fragmented Hong Kong primary care guidelines.

Receipt and verification

First computed	2026-05-20T00:03:11.484441Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

28ca1c574241f05e4d1805140b0052861e4b5500e424b525a3e4f836345c774f

Aliases

arxiv: 2604.14215 · arxiv_version: 2604.14215v2 · doi: 10.48550/arxiv.2604.14215 · pith_short_12: FDFBYV2CIHYF · pith_short_16: FDFBYV2CIHYF4TIY · pith_short_8: FDFBYV2C

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDFBYV2CIHYF4TIYAUKAWACSQY \
  | 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: 28ca1c574241f05e4d1805140b0052861e4b5500e424b525a3e4f836345c774f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3653125cb558be92a8c3a2bf1465318ab500c5f44b24e898ee458429d63af215",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.IR",
    "submitted_at": "2026-04-10T06:47:43Z",
    "title_canon_sha256": "10cec891981e910dc87501172178eb8f38604fa804406a9e49de02441369e4d7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.14215",
    "kind": "arxiv",
    "version": 2
  }
}