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Paper Citation Record · LEDGER

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.22319.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.22319 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:10:31.188106Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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Outbound references

Observation 1fdbcea9-e57e-4d36-93c4-a221483d8acf · outbound

This paper cites Amalur: Data integration meets machine learning,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Amalur: Data integration meets machine learning,

Reference 1

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Observation 667e3315-41cf-4a34-b9f3-ba6fc3625b58 · outbound

This paper cites Heterogeneous data integration: Challenges and opportunities,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Heterogeneous data integration: Challenges and opportunities,

Reference 2

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Observation fbb3eca8-aad3-49f7-8ec7-400f3bb04c31 · outbound

This paper cites Human-in-the-loop rule learning for data integration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Human-in-the-loop rule learning for data integration,

Reference 3

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Observation 5063b71d-b605-4cdd-9f59-dc2f30252c89 · outbound

This paper cites Amalur: Data integration meets machine learning,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Amalur: Data integration meets machine learning,

Reference 4

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Observation c52d2969-3ab9-48fa-a705-e4a88198aaa4 · outbound

This paper cites Unicorn: A unified multi-tasking model for supporting matching tasks in data integration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Unicorn: A unified multi-tasking model for supporting matching tasks in data integration,

Reference 5

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Observation a980b5de-f4ac-4c7b-95fd-6535adeea9e8 · outbound

This paper cites Large language models for data discovery and integration: Challenges and opportunities,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Large language models for data discovery and integration: Challenges and opportunities,

Reference 6

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Observation 0eaa74e5-a89b-4a35-8682-bd74fb7ba95f · outbound

This paper cites Can foundation models wrangle your data?.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Can foundation models wrangle your data?

Reference 7

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Observation 8dc2bc2a-a66d-4467-929e-9d508127d78e · outbound

This paper cites LLM-Matcher: A name-based schema matching tool using large language models,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG LLM-Matcher: A name-based schema matching tool using large language models,

Reference 8

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Observation 1df234b8-d544-4520-a91f-9df354de3cb4 · outbound

This paper cites Entity matching using large language models,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Entity matching using large language models,

Reference 9

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Observation 988f6d82-0a3e-4adb-9750-9fd7dca68266 · outbound

This paper cites In-context clustering-based entity resolution with large language models: A design space exploration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG In-context clustering-based entity resolution with large language models: A design space exploration,

Reference 10

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Observation cf6c7d19-5471-43cf-8dab-29007467e287 · outbound

This paper cites Archetype: A novel framework for open-source column type annotation using large language models,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Archetype: A novel framework for open-source column type annotation using large language models,

Reference 11

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Observation 4c449c68-d3ab-457d-a79d-f769a7335aaa · outbound

This paper cites Cost-efficient RAG for entity matching with LLMs: A blocking-based exploration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Cost-efficient RAG for entity matching with LLMs: A blocking-based exploration,

Reference 12

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source=pdf_text observed=2026-08-01T05:10:27.643187Z digest=sha256:3f4bcf8f7eb9d8015e9631a2915e4d089657c54a6d613376796e1f150cdf9d33

Observation de8350cb-c970-483a-beb8-c9cdfb6738e3 · outbound

This paper cites Unveiling challenges for LLMs in enterprise data engineering,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Unveiling challenges for LLMs in enterprise data engineering,

Reference 13

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Observation 1eeb9e49-97b4-491b-a5b5-5b9200b52ec4 · outbound

This paper cites Bootstrapping self-improvement of language model programs for zero- shot schema matching,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Bootstrapping self-improvement of language model programs for zero- shot schema matching,

Reference 14

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Observation ce62cd55-962e-49e2-a91b-135510edad33 · outbound

This paper cites Mind the data gap: Bridging large language models (LLMs) to enterprise data integration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Mind the data gap: Bridging large language models (LLMs) to enterprise data integration,

Reference 15

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source=pdf_text observed=2026-08-01T05:10:27.877537Z digest=sha256:030f7bab05e462714b190399338cb97c03340439471cff2160746ec81f48398b

Observation 0b98f0b8-8182-4078-8e80-907a19f8c46b · outbound

This paper cites GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation

Reference 16

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Observation d9954204-a236-443f-8190-dba74c9b0452 · outbound

This paper cites Structured multi-step reasoning for entity matching using large lan- guage model,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Structured multi-step reasoning for entity matching using large lan- guage model,

Reference 17

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Observation 1cbf5537-343f-4f09-aa3b-f7196a34ed14 · outbound

This paper cites Assistem: Domain instruction tuning for en- hanced entity matching,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Assistem: Domain instruction tuning for en- hanced entity matching,

Reference 18

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Observation c4e903a4-aa84-4896-bb7e-baf88a84a011 · outbound

This paper cites Fine-tuning large language models for entity matching,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Fine-tuning large language models for entity matching,

Reference 19

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Observation 5cf94e47-614a-460a-8352-d8cf61e8f41a · outbound

This paper cites Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching

Reference 20

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Observation 2417afc5-9303-4a92-9c5c-3f2fe97d74e1 · outbound

This paper cites Knowledge-enriched schema mapping: A preliminary case study of e-MedSolution system,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Knowledge-enriched schema mapping: A preliminary case study of e-MedSolution system,

Reference 21

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Observation 2f55ffbb-5133-437d-88e6-423176c46b71 · outbound

This paper cites ReMatch: Retrieval Enhanced Schema Matching with LLMs.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG ReMatch: Retrieval Enhanced Schema Matching with LLMs

Reference 22

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Observation e62cf12a-e34c-4e62-9576-bd184709cfb8 · outbound

This paper cites RACOON: An LLM-based framework for retrieval-augmented column type annotation with a knowledge graph,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG RACOON: An LLM-based framework for retrieval-augmented column type annotation with a knowledge graph,

Reference 23

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Observation 54e492b0-69e2-4aad-9a20-5f0d612c8456 · outbound

This paper cites RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching

Reference 24

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Observation a7440e35-7002-4d56-a485-dd8594a82aab · outbound

This paper cites ConStruM: A Structure-Guided LLM Framework for Context-Aware Schema Matching.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG ConStruM: A Structure-Guided LLM Framework for Context-Aware Schema Matching

Reference 25

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Observation 68cd7d58-4b87-4d95-ab1e-0c1807752b49 · outbound

This paper cites ArchRAG: Attributed community-based hierarchical retrieval-augmented generation,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG ArchRAG: Attributed community-based hierarchical retrieval-augmented generation,

Reference 26

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Observation ba800ace-bc27-404d-969e-731b7ac549ff · outbound

This paper cites Schema matching on graph: Iterative graph exploration for efficient and explainable data integration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Schema matching on graph: Iterative graph exploration for efficient and explainable data integration,

Reference 27

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Observation 18f63e32-ef93-437b-9d38-8b0aca78c2c6 · outbound

This paper cites Towards the next generation of agent systems: From RAG to agentic AI,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Towards the next generation of agent systems: From RAG to agentic AI,

Reference 28

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Observation d87f0e11-b83e-44f5-a00a-a0de3cc06362 · outbound

This paper cites A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 29

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source=pdf_text observed=2026-08-01T05:10:28.987923Z digest=sha256:58b9a00fc318dea6538441a31db2de09fc5b17e32321c266270f1f8b7d10e1ca

Observation 0ce0be6f-d776-4ba2-ac03-36076571bdd5 · outbound

This paper cites A-RAG: scaling agentic retrieval- augmented generation via hierarchical retrieval interfaces,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG A-RAG: scaling agentic retrieval- augmented generation via hierarchical retrieval interfaces,

Reference 30

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source=pdf_text observed=2026-08-01T05:10:29.087785Z digest=sha256:71094bad40f75fbb64f56933937c4504e94037145efce6b554c9ace3c3ac2335

Observation 4ec9aac9-1890-421d-bbed-344f894e8469 · outbound

This paper cites SCOUT-RAG: scalable and cost-efficient unifying traversal for agentic Graph-RAG over distributed domains,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG SCOUT-RAG: scalable and cost-efficient unifying traversal for agentic Graph-RAG over distributed domains,

Reference 31

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source=pdf_text observed=2026-08-01T05:10:29.159565Z digest=sha256:e1874c568967b544cc25b865278d9f2c9424a7b07ac649240bc76dfbf3cfe2f8

Observation 50f52b0d-b059-43f0-937d-166779f610e1 · outbound

This paper cites Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis

Reference 32

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source=pdf_text observed=2026-08-01T05:10:29.246022Z digest=sha256:8edfe0a22cddb9234d26eebf16205fe52819768ebcaef9636caad417c5198f17

Observation 2ce42120-280a-484d-b14b-6dae463b9df7 · outbound

This paper cites Agentic RAG with knowledge graphs for complex multi-hop reasoning in real-world applications,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Agentic RAG with knowledge graphs for complex multi-hop reasoning in real-world applications,

Reference 33

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source=pdf_text observed=2026-08-01T05:10:29.353982Z digest=sha256:f4a1d9cc98067ae71d69bd4f25b8f0e1f1725d1ef4c4f77c1a575ba34b2e7ad5

Observation 25fd09a3-150c-4dbb-a913-c0108be57bda · outbound

This paper cites Multi-agent RAG framework for entity resolution: Advancing beyond single-LLM approaches with specialized agent coor- dination,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Multi-agent RAG framework for entity resolution: Advancing beyond single-LLM approaches with specialized agent coor- dination,

Reference 34

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source=pdf_text observed=2026-08-01T05:10:29.443824Z digest=sha256:a90a3d0f969df9a32f78dcc88a29e4902ced6cedc9d19b9ddeff7f9898af5052

Observation 47c11b59-0e82-4f2e-8631-dd34167729bf · outbound

This paper cites MCTS-RAG: enhancing retrieval-augmented generation with Monte Carlo tree search,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG MCTS-RAG: enhancing retrieval-augmented generation with Monte Carlo tree search,

Reference 35

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source=pdf_text observed=2026-08-01T05:10:29.498229Z digest=sha256:79f2f834144cee9a46d057bd06bcbb571dab6ce70b348e39bf99c5b368b001fd

Observation e0c81f19-5e9c-43bf-b1cd-dc800dad51a7 · outbound

This paper cites MA-RAG: multi-agent retrieval-augmented generation via collaborative chain-of-thought reasoning,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG MA-RAG: multi-agent retrieval-augmented generation via collaborative chain-of-thought reasoning,

Reference 36

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source=pdf_text observed=2026-08-01T05:10:29.627414Z digest=sha256:a8fab18b2fe4fa3a029a3c6647b6764107da183e518892ae184a529ed4bc7965

Observation 64344c41-ed7a-4d22-a6d8-b7f1b116c242 · outbound

This paper cites Multi-agent collaboration via evolving orchestration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Multi-agent collaboration via evolving orchestration,

Reference 37

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source=pdf_text observed=2026-08-01T05:10:29.734219Z digest=sha256:bfb697ffd66c5b56860ac26299621b9e0752272953710336912711aabec78902

Observation 918cf74c-e19d-4efc-bd2c-95d467ac1fa9 · outbound

This paper cites Optimized batch prompting for cost-effective LLMs,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Optimized batch prompting for cost-effective LLMs,

Reference 38

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source=pdf_text observed=2026-08-01T05:10:29.902903Z digest=sha256:5880813cf5c5b72720f00457e1b2a9a1020c72e3dc940550dff523ed898f83e7

Observation 6673668d-811c-46e2-a789-abf8e1923ef5 · outbound

This paper cites Cost-effective in-context learning for entity resolution: A design space exploration,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Cost-effective in-context learning for entity resolution: A design space exploration,

Reference 39

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source=pdf_text observed=2026-08-01T05:10:30.066742Z digest=sha256:ff18586dbf57ecf6ea71172df8d54cfd12850ff3d812026adf04c06f2dbc53ce

Observation 57b584a0-acfc-4954-8de0-cf2bffb889b5 · outbound

This paper cites RAGCache: Efficient knowledge caching for retrieval-augmented generation,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG RAGCache: Efficient knowledge caching for retrieval-augmented generation,

Reference 40

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source=pdf_text observed=2026-08-01T05:10:30.207367Z digest=sha256:8f70292cea2b03ed4ead11920c6bec0d9da15f402363f18f31e20320306708d4

Observation 75c040ae-61e9-4159-9022-6571be59b06e · outbound

This paper cites Cache-Craft: Managing chunk-caches for efficient retrieval-augmented generation,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Cache-Craft: Managing chunk-caches for efficient retrieval-augmented generation,

Reference 41

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source=pdf_text observed=2026-08-01T05:10:30.364733Z digest=sha256:fdc596ec135ea2053d96e3dead934da3e2dd5ff46ccf33c80fa33f1a659bff19

Observation f9289847-0a81-41a8-b235-b3984bec28fb · outbound

This paper cites Cache mechanism for agent RAG systems,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Cache mechanism for agent RAG systems,

Reference 42

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source=pdf_text observed=2026-08-01T05:10:30.501561Z digest=sha256:39b77380770e611533ffb761f832a99a40dd07bd762ea6484cbed50ecc74c67e

Observation 8f5567bc-4355-41b8-96cc-fb14a24a7f2c · outbound

This paper cites MemGraphRAG: Memory-based multi-agent system for graph retrieval-augmented generation,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG MemGraphRAG: Memory-based multi-agent system for graph retrieval-augmented generation,

Reference 43

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source=pdf_text observed=2026-08-01T05:10:30.670382Z digest=sha256:b19436606382ff34c59f0943e8f12da4c46cbdfa9e3f4ad097b81f0ab009a993

Observation 30767dfe-64e5-45ba-bb74-d8cef77d6c0e · outbound

This paper cites MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents

Reference 44

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source=pdf_text observed=2026-08-01T05:10:30.793660Z digest=sha256:e8e86d29ff4cf5a26df06a2c54d46b96bcf055b5a737051df4ecc8a4370eef2e

Observation 2f25e42f-71c5-459b-8b12-352880ba4a17 · outbound

This paper cites Context-aware intelligent data integration approach: A practical hybrid retrieval agent,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Context-aware intelligent data integration approach: A practical hybrid retrieval agent,

Reference 45

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source=pdf_text observed=2026-08-01T05:10:30.929087Z digest=sha256:3ec827b85ae5a2dc2f0f6fc11a2fd0d38425911a7a62127681070ac152917cdb

Observation 91b9436f-6da9-4c35-a3f6-0f469df00af7 · outbound

This paper cites Agent-OM: Leveraging LLM agents for ontology matching,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Agent-OM: Leveraging LLM agents for ontology matching,

Reference 46

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source=pdf_text observed=2026-08-01T05:10:31.052434Z digest=sha256:1cc487b0006f5b001fc87960a487cd9354d310889d2533237f598532bfed201d

Observation 136948f3-4c3f-4329-9e26-e974a9bd312f · outbound

This paper cites Tool-planner: Task planning with clusters across multiple tools,.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG Tool-planner: Task planning with clusters across multiple tools,

Reference 47

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source=pdf_text observed=2026-08-01T05:10:31.188106Z digest=sha256:c82a398812dd2841d505d1d9061c6ab354cf5c17cb5991c59915235c010646ff

Pith citing papers

No inbound Pith citation observations are available.