Evidence Receipt. Related Resources.
KohakuRAG: A simple RAG framework with hierarchical document indexing
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Use Signal Canvas as the narrative proof surface
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
Use this Signal Canvas via API or MCP
Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/kohakurag-a-simple-rag-framework-with-hierarchical-document-indexing
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 8/10
- Last proof check
- 2026-03-17
- Score updated
- 2026-04-02
- Score fresh until
- 2026-05-02
- References
- 0
- Source count
- 0
- Coverage
- 33%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
KohakuRAG: A simple RAG framework with hierarchical document indexing
Canonical ID kohakurag-a-simple-rag-framework-with-hierarchical-document-indexing | Route /signal-canvas/kohakurag-a-simple-rag-framework-with-hierarchical-document-indexing
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/kohakurag-a-simple-rag-framework-with-hierarchical-document-indexingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "kohakurag-a-simple-rag-framework-with-hierarchical-document-indexing",
"query_text": "Summarize KohakuRAG: A simple RAG framework with hierarchical document indexing"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "KohakuRAG: A simple RAG framework with hierarchical document indexing",
"normalized_query": "2603.07612",
"route": "/signal-canvas/kohakurag-a-simple-rag-framework-with-hierarchical-document-indexing",
"paper_ref": "kohakurag-a-simple-rag-framework-with-hierarchical-document-indexing",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Preparing verified analysis
Dimensions overall score 8.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
- Evidencepartial
stabilizes answers through ensemble inference with abstention-aware voting
ImplicationpartialDirectly stated in abstract as method component
Verificationpartialpartial
- Evidencepartial
KohakuRAG achieves first place on both public and private leaderboards (final score 0.861)
ImplicationpartialDirectly stated in abstract with specific numeric score and competition placement
Verificationpartialpartial
- Evidencepartial
hierarchical dense retrieval alone matches hybrid sparse-dense approaches (BM25 adds only +3.1pp)
ImplicationpartialDirectly stated in abstract with specific numeric comparison
Verificationpartialpartial
- Evidencepartial
a hierarchical RAG framework that preserves document structure through a four-level tree representation (document → section → paragraph → sentence) with bottom-up embedding aggregation
ImplicationpartialDirectly stated in abstract as core method description
Verificationpartialpartial
- Evidencepartial
Ablation studies reveal that prompt ordering (+80% relative)
ImplicationpartialDirectly stated in abstract with specific numeric improvement
Verificationpartialpartial
- Evidencepartial
retry mechanisms (+69%)
ImplicationpartialDirectly stated in abstract with specific numeric improvement
Verificationpartialpartial
- Evidencepartial
ensemble voting with blank filtering (+1.2pp)
ImplicationpartialDirectly stated in abstract with specific numeric improvement
Verificationpartialpartial
- Evidencepartial
improves retrieval coverage through an LLM-powered query planner with cross-query reranking
ImplicationpartialDirectly stated in abstract as method component
Verificationpartialpartial
