Paper Citation Record · LEDGER

Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2409.14924.

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

pith.paper-citation-record.v1
2409.14924 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:03:21.632740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:33:13.582327Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3e22683c-34c5-4c5e-8f83-19b750fc404d · inbound

Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval cites this paper.

Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:29:26.683314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6693c21f-3d3a-41e2-a69e-eb024695a232 · inbound

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG cites this paper.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.702629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b8dad1-8dc5-4f52-9692-a72fae36e138 · inbound

LLM-based event log analysis techniques: A survey cites this paper.

LLM-based event log analysis techniques: A survey Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-09T18:11:46.699831Z

Source-reported events for the cited work

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Observation dc3ce3bd-4227-4a52-b99b-7bf3bb2d0383 · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T12:25:12.440105Z

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Observation 00abbb2c-a9ee-4764-bf57-987a4e2ee918 · inbound

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking cites this paper.

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T01:03:21.632740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a37181-778a-433b-9146-c06d2937629f · inbound

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration cites this paper.

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:56:55.836060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c669cec0-ec15-4d60-8ae9-76c9d2aa2743 · inbound

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral cites this paper.

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T23:59:04.300217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92b7ce05-1f14-4620-a9e9-c6e4d6827562 · inbound

Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data cites this paper.

Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-15T22:45:39.735551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df75833-cb40-4c0c-aed4-e18d020f28e8 · inbound

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents cites this paper.

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:22.714953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252c035a-fe45-41e2-80c2-4547273f67ef · inbound

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval cites this paper.

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:48.790118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452f652b-4b97-44c0-8433-23efb5b0d4a3 · inbound

Private GPTs for LLM-driven testing in software development and machine learning cites this paper.

Private GPTs for LLM-driven testing in software development and machine learning Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:15.403271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb81562-206d-4cae-8a9a-f1826387d5c4 · inbound

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation cites this paper.

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:21.255177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48056f53-88b4-4252-9b74-57141a8c9a6a · inbound

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation cites this paper.

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:34.827663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87cfb609-01c4-4750-a836-71ea6394694f · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T22:56:33.954784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 891f6ee1-e69b-45dc-8125-ca2b63f05d03 · inbound

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:44:01.343918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f106aec-25a4-4601-84df-ceb3c5e3c690 · inbound

BLOCKS: Blockchain-supported Cross-Silo Knowledge Sharing for Efficient LLM Services cites this paper.

BLOCKS: Blockchain-supported Cross-Silo Knowledge Sharing for Efficient LLM Services Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:38.172760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b1c942-96c1-4f92-8e73-3774b9388592 · inbound

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion cites this paper.

Assessing RAG and HyDE on 1B vs. 4B-Parameter Gemma LLMs for Personal Assistants Integretion Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:14.707396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 163dc024-5d5a-45b1-8965-bf32c46768fa · inbound

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization cites this paper.

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:56.964590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5088c0-02a8-41a4-a143-2228b5762267 · inbound

Knowledge Conceptualization Impacts RAG Efficacy cites this paper.

Knowledge Conceptualization Impacts RAG Efficacy Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:20.325769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1672b298-ddfa-48c1-8d1e-88ae6677fa66 · inbound

Accelerating Prefilling via Decoding-time Contribution Sparsity cites this paper.

Accelerating Prefilling via Decoding-time Contribution Sparsity Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:06:59.972943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7608af1f-383a-4b2d-abc9-25048b82d771 · inbound

Systematic Evaluation of Knowledge Graph Repair with Large Language Models cites this paper.

Systematic Evaluation of Knowledge Graph Repair with Large Language Models Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T11:49:18.929150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20bb4d8e-8b1f-45a4-b430-b8c64de4c505 · inbound

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning cites this paper.

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T10:17:13.715397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 820d409b-6712-44d7-831c-74df8ce6956a · inbound

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement cites this paper.

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:48:07.524592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2426b466-2af9-471d-96fc-44ec5fdbff8d · inbound

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks cites this paper.

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:32.062885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d51a29c2-c421-448f-8281-6e5b4431d019 · inbound

Open Data Synthesis For Deep Research cites this paper.

Open Data Synthesis For Deep Research Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T13:45:13.613918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bc73867-52b3-49f7-9949-918902458bdb · inbound

PG-Agent: An Agent Powered by Page Graph cites this paper.

PG-Agent: An Agent Powered by Page Graph Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T15:29:45.142535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a36e3f06-bd95-4907-a8ef-2a7f7df0a1fd · inbound

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction cites this paper.

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:26:47.237844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 865aad26-c4e4-4a6b-b41e-28740144a684 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 269

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:32.540167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b201037-1f8b-437f-995d-4af0f1553901 · inbound

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent cites this paper.

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:45.069746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ed30bf-8d6e-483d-9703-f031ef266de1 · inbound

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda cites this paper.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.820771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93401f21-0d5e-48b9-a1b4-1aeaaceabb9e · inbound

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA cites this paper.

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:01:11.968809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9b49e5a-c84f-4398-a7f4-adee9e3e7ec1 · inbound

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA cites this paper.

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:18:00.247267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8040fbe9-62b5-4689-8d85-7f6d4af01e4a · inbound

VikingMem: A Memory Base Management System for Stateful LLM-based Applications cites this paper.

VikingMem: A Memory Base Management System for Stateful LLM-based Applications Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:33:13.583875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea10d174-fde9-49a5-8004-a51fb32c5b8e · inbound

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory cites this paper.

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-11T06:35:35.951554Z

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Unavailable: canonical work link unavailable.