Pith Number

pith:KX22QOPD

pith:2026:KX22QOPDYIJANPOUB4MCBFSQNH

not attested not anchored not stored refs pending

CogRAG: Tackling Heterogeneous Cognitive Demands in RAG via Stratified Retrieval and Reasoning

Kui Su, Xudong Wang, Zhaoyan Ming, Zilong Wang

CogRAG+ separates retrieval from reasoning in LLMs using dual paths and structured templates to fix knowledge gaps on professional exams.

arxiv:2604.25928 v2 · 2026-04-01 · cs.CL

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\usepackage{pith}
\pithnumber{KX22QOPDYIJANPOUB4MCBFSQNH}

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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

Experiments on two representative models, Qwen3-8B and Llama3.1-8B, show that CogRAG+ consistently outperforms general-purpose models and standard RAG methods on the Registered Dietitian qualification exam. In single-question mode, it raises overall accuracy to 85.8% for Qwen3-8B and 60.3% for Llama3.1-8B, with clear gains over vanilla baselines.

C2weakest assumption

The assumption that a judge-driven dual-path retrieval strategy can reliably identify and supply missing foundational knowledge without domain-specific tuning or additional training data.

C3one line summary

CogRAG+ raises LLM accuracy on a dietitian exam to 85.8% by using dual-path retrieval and structured reasoning templates.

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-06-03T01:05:14.150446Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

55f5a839e3c21206bdd40f1820965069ec405284b4cc23cb912c5d44b46d3af3

Aliases

arxiv: 2604.25928 · arxiv_version: 2604.25928v2 · doi: 10.48550/arxiv.2604.25928 · pith_short_12: KX22QOPDYIJA · pith_short_16: KX22QOPDYIJANPOU · pith_short_8: KX22QOPD

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/KX22QOPDYIJANPOUB4MCBFSQNH \
  | 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: 55f5a839e3c21206bdd40f1820965069ec405284b4cc23cb912c5d44b46d3af3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5a3ef9266d69cd2cef9046f9e9820edb0e3578e4f61a6d2c56fbc8e01a1b5c8c",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-04-01T13:31:12Z",
    "title_canon_sha256": "9cce5771b904db0a97992173e7393cfc956537ed62f258162045cbb829a4f483"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.25928",
    "kind": "arxiv",
    "version": 2
  }
}