Paper Citation Record · LEDGER

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

As of 14 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 5 inbound Pith citation observations for arXiv:2412.05838.

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

pith.paper-citation-record.v1
2412.05838 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:19:02.135452Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:22.418138Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:22:25.498942Z

Reference resolution

23 of 23 outbound references displayed

verified exact5
verified fuzzy8
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 138fdca9-9635-4a8b-a7ee-922b956ad357 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data A Comprehensive Overview of Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.061938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0225b1d1-f125-423e-b563-e55eb6da1705 · outbound

This paper cites A novel compact LLM framework for local, high-privacy EHR data applications.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data A novel compact LLM framework for local, high-privacy EHR data applications

Reference 2

Resolution: verified exact; doi, observed 2026-08-11T20:19:02.313576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 309e6b90-5fa5-46de-8dc2-5f5e2f1e9c75 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Retrieval-augmented generation for knowledge-intensive NLP tasks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.425854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 61b07ea4-db43-4407-8f7f-e8364e5bfa3d · outbound

This paper cites Local Large Language Models for Complex Structured Medical Tasks.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Local Large Language Models for Complex Structured Medical Tasks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.072723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9385d72-9bdb-47f5-b579-b40a177d5e01 · outbound

This paper cites Local Open-Source LLMs: Options and Considerations.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Local Open-Source LLMs: Options and Considerations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.417426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aadf944c-a0ec-4378-af56-d161421edabe · outbound

This paper cites GPT Models: Capabilities and Applications.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data GPT Models: Capabilities and Applications

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.408193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0c89199-87bf-43a8-a1b7-f279e4934116 · outbound

This paper cites Gemini API Models: Advancing Multi-Modal Capabilities.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Gemini API Models: Advancing Multi-Modal Capabilities

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.398951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2b9588ee-bb30-46d5-b0bc-649cbfd65ad9 · outbound

This paper cites an unresolved cited work.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-11T20:19:02.233130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27ba03a8-27a4-4a11-a4f8-ddf3f66e148a · outbound

This paper cites Conditions determining the morphology and nanoscale magnetism of Co nanoparticles: Experimental and numerical studies.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Conditions determining the morphology and nanoscale magnetism of Co nanoparticles: Experimental and numerical studies

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:19:02.341816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00f9bfac-cc50-4ac0-9587-6fc7a5db8038 · outbound

This paper cites Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.093884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33bb0939-7c24-4e45-a710-644e4e643292 · outbound

This paper cites Optimizing RAG Systems for Technical Support with LLM-based Relevance Feedback and Multi-Agent Patterns.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Optimizing RAG Systems for Technical Support with LLM-based Relevance Feedback and Multi-Agent Patterns

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.389633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44900cd6-2680-4e9d-b1e0-93ca30b8ca1f · outbound

This paper cites an unresolved cited work.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:19:02.378930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a96de046-6019-4af5-86ee-9c1dc8319a2d · outbound

This paper cites Boundary consensus control strategies for fractional-order multi-agent systems with reaction-diffusion terms.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Boundary consensus control strategies for fractional-order multi-agent systems with reaction-diffusion terms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.369663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63c30a6d-78e6-40b8-b6db-76c64d7a4c39 · outbound

This paper cites Cooperative and competitive multi-agent systems: From optimization to games.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Cooperative and competitive multi-agent systems: From optimization to games

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.360280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8f10318-53b6-4ff2-9ccb-cabb54664e02 · outbound

This paper cites Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.109392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2204ef0-78b8-43fb-a6c9-c8c3933c3ae3 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.113391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de435eb3-3279-4810-ad4f-0447a8dd9d21 · outbound

This paper cites Prompt engineering or fine-tuning? A case study on phishing detection with large language models.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Prompt engineering or fine-tuning? A case study on phishing detection with large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:19:02.351242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a158286-2cf8-4a44-8efa-91b6ac577e81 · outbound

This paper cites Improve performance of fine-tuning language models with prompting.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Improve performance of fine-tuning language models with prompting

Reference 18

Resolution: verified exact; doi, observed 2026-08-11T20:19:02.208240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ca58eaf4-aa75-472a-9f14-d15095649541 · outbound

This paper cites Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.122415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ac402a-f41f-4c2b-9b8d-9fd323afddc1 · outbound

This paper cites Towards Polyglot Data Stores -- Overview and Open Research Questions.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Towards Polyglot Data Stores -- Overview and Open Research Questions

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:19:02.190821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb257fb9-7884-4c0a-a24c-681f063be72e · outbound

This paper cites Cognitive Architectures for Language Agents.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Cognitive Architectures for Language Agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.129030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeab1dd3-78a0-490e-b807-b743698f7d46 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.132371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e276646-dd20-4d9e-87df-9e0e59eaf172 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:19:02.135452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 73b2f471-5569-4f38-b97c-c2fdd843f653 · inbound

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing cites this paper.

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:22:25.501553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4a132835-b69d-4dac-a6b5-9c45fea67eee · inbound

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context cites this paper.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:05:22.418138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6483d5-416b-43d7-b944-25289f8aa1c5 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 198

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:48.593700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f22585-d3f3-47e9-94aa-1c3350cfa648 · inbound

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation cites this paper.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 99

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:58.834622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

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

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

Resolution: unresolved; no resolver link, observed 2026-08-01T05:10:28.987923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.