Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:44:04.946360Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 10 inbound Pith citation observations for arXiv:2506.20963.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:44:04.946360Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T07:06:05.559182Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:28:55.951900Z
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c0224478-3920-4f09-86c8-c4aaf1388ffa · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora GPT-4 Technical Report
Reference 1
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Observation 69c73ba9-5abe-40b8-b56b-3b45a1f6b082 · outbound
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Reference 2
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Unavailable: canonical work link unavailable.
Observation 9f4a143b-b385-4478-9f9b-0906f8b179b6 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora LLaMA: Open and Efficient Foundation Language Models
Reference 3
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Unavailable: canonical work link unavailable.
Observation 624f3545-e491-4725-bae5-bb42b485789a · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods
Reference 4
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Observation 10fd2167-574a-4693-9d25-85d3c2451f45 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Llm-based code generation method for golang compiler testing
Reference 5
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Observation 33d12c52-6780-4edc-ba04-77da5e147745 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Reference 6
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Observation 52a04137-34b6-49e8-9179-0ff68e0e35ff · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A Survey of Graph Meets Large Language Model: Progress and Future Directions
Reference 7
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Observation 48ab8693-af50-4e92-9c7d-3947e5ddfa38 · outbound
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Reference 8
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Observation 706a406d-970d-43a5-bb4c-0e02af7bab3f · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Openagi: When llm meets domain experts
Reference 9
Source-reported events for the cited work
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Observation 598ae65b-1105-4b92-b7cf-676e5de2e8c0 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Reference 10
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Observation 71f0ecf2-3ae1-4e8d-b65b-27acc177a4c6 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Reference 11
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Observation b941c1e2-2f5d-4dd5-a024-b6b17658da2c · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
Reference 12
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Observation 29f86ffd-cb2c-43b0-badf-3f835637a52e · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Reference 13
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Observation 9856e163-d5df-4e37-93df-8cf6a885b186 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A Closer Look at the Limitations of Instruction Tuning
Reference 14
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Observation f3609128-1cd8-4902-85d5-d306b14313d1 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Getting it right: the limits of fine-tuning large language models
Reference 15
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Observation db4b8f53-7063-4a2e-98f3-b0362549feba · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 16
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Observation 07e15a44-8a4a-4258-b1b7-2aa3a3540519 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A survey on rag meeting llms: Towards retrieval-augmented large language models
Reference 17
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Observation 0be9a3f5-2683-4659-895e-7919c8fcf3cf · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Retrieval-Augmented Generation for Natural Language Processing: A Survey
Reference 18
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Observation ea971c73-1678-47c7-9045-11e218c9c493 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Retrieval-Augmented Generation for AI-Generated Content: A Survey
Reference 20
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Observation e85e3748-9045-41e6-ae16-ef0dd60ed78a · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Reference 21
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Observation 891f6ee1-e69b-45dc-8125-ca2b63f05d03 · outbound
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Reference 22
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Observation 31d7142f-67f4-4a27-bdbb-8ce83fe7b0a6 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases
Reference 23
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Observation 02430805-5554-4437-9138-9bf59d28754e · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems
Reference 24
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Observation 2b913be1-8284-46c4-859f-e4e1a9452d8a · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora How Much Can RAG Help the Reasoning of LLM?
Reference 25
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Observation c1faa3bd-357b-46c2-a423-4f9b10db6a98 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Retrieval-Augmented Generation with Graphs (GraphRAG)
Reference 26
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Observation bd9ce4be-5c2c-4f7f-9df1-4ee5ba370724 · outbound
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Reference 27
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Observation e1ed3fb7-da87-46a3-a43f-8c2eae208e9d · outbound
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Reference 28
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Observation 7707218b-ee5f-4335-84a2-79c6f3aa9d49 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora GRAG: Graph Retrieval-Augmented Generation
Reference 29
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Observation 926c8d90-9707-44ca-9594-1a7e1f365bc2 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Graph Retrieval-Augmented Generation: A Survey
Reference 30
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Observation 3d695b85-fd7d-41c6-895a-09263ea62fcb · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Unresolved cited work
Reference 31
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Observation fa094e38-195e-4e5c-8621-9af6b0ebee0d · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models
Reference 32
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Observation 975c69b1-f360-42c9-9870-5459e5419e48 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora In-depth Analysis of Graph-based RAG in a Unified Framework
Reference 33
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Observation 46187748-14ca-4f79-83aa-277d167e2e84 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Reference 34
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Observation ab8f81ea-33e5-4d85-af0c-21b811624d50 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Approximate nearest neighbors: Towards removing the curse of dimensionality
Reference 35
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Observation c161058c-1499-4060-aeea-717c40d6da0e · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Locality-sensitive hashing scheme based on p-stable distributions
Reference 36
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Observation 61cb99b7-3c43-4aa2-8b00-5ddf2f6e66b2 · outbound
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Reference 37
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Observation fd8b7b64-a594-44fd-9a2a-1cf07af688f0 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Lightrag: Simple and fast retrieval-augmented generation, 2024
Reference 38
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Observation 295205d4-d1ba-4c94-aa88-832a949125ff · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
Reference 39
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Observation 0606efa3-630d-4425-bb0e-4a174a42a375 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Unresolved cited work
Reference 40
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Observation ad71dad1-0e54-4a7b-aaf9-9c65e2c0e706 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Gslb: The graph structure learning benchmark
Reference 41
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Observation 80373868-90a0-4f83-b344-9131cd22bcf2 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A Survey on Locality Sensitive Hashing Algorithms and their Applications
Reference 42
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Observation 90ff8a7f-9d2f-47ff-b034-0550dad1abec · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Reference 44
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Observation 5a881f9f-0404-429f-b993-ab37c539720e · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Reference 45
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Observation 31856ce6-6472-4705-be76-9eddccbbee0e · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora QuALITY: Question Answering with Long Input Texts, Yes!
Reference 46
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Observation edc5addf-ae67-4f30-b97a-1c16109bc877 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Musique: Multihop questions via single-hop question com- position
Reference 47
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Observation 0e53aa3e-f2f7-44ed-8a0d-7709226e13d7 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Large language models are zero-shot reasoners
Reference 48
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Observation f6b21f42-1844-43eb-abdb-002aeea84473 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval
Reference 49
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Observation b1e538f7-24a4-4303-9ceb-3c3ba2c49f47 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Retrieval-augmented generation for knowledge- intensive nlp tasks
Reference 50
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Observation 9e024cf0-8c7b-457c-88b3-31d01ad12c2c · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Hipporag: Neurobiologically inspired long-term memory for large language models
Reference 51
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Observation 871795a1-7e62-4397-9892-ea812655b73a · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Toolformer: Language models can teach themselves to use tools
Reference 52
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Observation c6c3bdd4-e7e6-47ec-94e0-11013dc86fc5 · outbound
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Reference 53
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Reference 54
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Observation e9b72f9b-a344-4ac7-905e-34ca5660ef2d · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications
Reference 55
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Observation 36d79908-6ee9-405c-a7eb-99d934a96936 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora M3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation
Reference 56
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Observation 3bbe0b2b-07f0-4181-8883-66b9e444ae18 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
Reference 57
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Observation e42123be-4497-4b8f-9c67-76dd21d7f4c3 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora Language models are few-shot learners
Reference 58
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Observation 871d0ca4-5930-4f5f-8378-7e659668fe87 · outbound
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora The Chronicles of RAG: The Retriever, the Chunk and the Generator
Reference 59
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Observation 0810a5c1-d984-4722-9e43-9d07423e0488 · inbound
EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 102
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Observation 576f9127-bca3-4c6f-9e3e-fb5d04323ef3 · inbound
LLM-Oriented Information Retrieval: A Denoising-First Perspective EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 220
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Observation e8913526-603b-4e27-b7c6-96ec5fe04c2e · inbound
LLM-Oriented Information Retrieval: A Denoising-First Perspective EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 230
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Observation 892f4d7f-2625-48ad-829a-ced658f762a0 · inbound
Position: How can Graphs Help Large Language Models? EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 38
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Observation b4c900dc-5fbf-4985-9e11-84989e080ba7 · inbound
A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 144
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Observation 5fec0a0d-0925-42da-a551-71e7b0d3d483 · inbound
A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 146
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Observation fc88736d-4b32-4af4-92cd-937a35e6e776 · inbound
A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 138
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Observation 853cb3a7-c004-4f80-914d-218a2743e6bc · inbound
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 68
Source-reported events for the cited work
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Observation 14aa0775-3f5b-4082-a936-3452a6ba8092 · inbound
A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented Generation EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
Reference 37
Source-reported events for the cited work
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Observation be408f80-03ee-4265-855e-57ff85ce9385 · inbound
Beyond Retrieval: Analytic Memory for Multimodal Agents EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
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