Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T14:15:10.907921Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 100 of 154 outbound references and 100 inbound Pith citation observations for arXiv:2310.11511.
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 2026-05-12T14:15:10.907921Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:03.267731Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
100 of 154 outbound references displayed
External citation measurements
89
pith, observed 2026-08-05T02:28:24.338817Z
Observation 99a27ff0-8e4f-4799-b6f6-c2a9ab2b0cca · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Learning to retrieve reasoning paths over wikipedia graph for question answering
Reference 1
Source-reported events for the cited work
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Observation 8b11d844-4d0f-48ca-ab2e-7f8b58d2890f · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Retrieval-based language models and applications
Reference 2
Source-reported events for the cited work
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Observation 0f2f82bd-9a7e-405e-96d4-f480a12ad972 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Task-aware retrieval with instructions
Reference 3
Source-reported events for the cited work
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Observation fad2b84b-1298-48a3-9cfc-b3ed71368096 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Flashattention: Fast and memory-efficient exact attention with io-awareness
Reference 7
Source-reported events for the cited work
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Observation 50b9ddda-c696-41a0-9d8c-6bd076d567fa · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Chain-of-Verification Reduces Hallucination in Large Language Models
Reference 8
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Observation 965fafc5-b942-4966-8b14-310c42085835 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Wizard of wikipedia: Knowledge-powered conversational agents
Reference 9
Source-reported events for the cited work
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Observation f00eb8bc-89ef-4551-897f-32cd43ff7f5b · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Retrieval augmented language model pre-training
Reference 12
Source-reported events for the cited work
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Observation 349e4322-6620-43fb-9faa-d61a382c042b · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Unsupervised dense information retrieval with contrastive learning
Reference 13
Source-reported events for the cited work
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Observation 65bb199c-5003-4202-8041-abb9c0b3bbbc · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension
Reference 16
Source-reported events for the cited work
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Observation aa6db49d-47f8-4cf8-a3b2-6558f21ca519 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Pretraining language models with human preferences
Reference 18
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Observation 21f84c53-79a7-4441-87c5-2df22a3de8c5 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov
Reference 19
Source-reported events for the cited work
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Observation 44a29f19-7905-4a89-a7ad-7673f5708cf5 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Efficient Memory Management for Large Language Model Serving with PagedAttention
Reference 20
Source-reported events for the cited work
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Observation ff488b35-d71c-46c7-a8a9-bf62c352decf · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\
Reference 21
Source-reported events for the cited work
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Observation 1571f851-2ec6-444d-a593-a0bad6fee2ea · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Reference 22
Source-reported events for the cited work
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Observation 611c414f-34ff-4fed-9531-3b7779c293eb · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection QUARK : Controllable text generation with reinforced unlearning
Reference 25
Source-reported events for the cited work
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Observation 466fc6ed-05bb-4e26-84fe-d651e4f1fee0 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Self-Refine: Iterative Refinement with Self-Feedback
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ba850eda-cd07-4b75-aa17-53fdffe7a508 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection When not to trust language models: Investigating effectiveness of parametric and non-parametric memories
Reference 28
Source-reported events for the cited work
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Observation a3eeedcf-adf5-40da-a5a8-ea1f459a1483 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Can a suit of armor conduct electricity? a new dataset for open book question answering
Reference 30
Source-reported events for the cited work
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Observation 332b84dc-2038-460c-a3b1-dd3cc5e7b0ea · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection A discrete hard EM approach for weakly supervised question answering
Reference 31
Source-reported events for the cited work
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Observation 35b3cd6a-7a29-43cf-8c16-6b5ecc2cc1a3 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large dual encoders are generalizable retrievers
Reference 34
Source-reported events for the cited work
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Observation 1ad457f1-722c-48d8-b8ad-9bdab6008203 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Training language models to follow instructions with human feedback
Reference 36
Source-reported events for the cited work
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Observation 5ec55e9a-2837-4dd8-8f29-f699904138f3 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection REFINER: Reasoning Feedback on Intermediate Representations
Reference 37
Source-reported events for the cited work
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Observation cbecd02f-b517-4f16-a4d2-5354bde9e2fa · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection KILT : a benchmark for knowledge intensive language tasks
Reference 38
Source-reported events for the cited work
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Observation d049a03b-e496-40dc-887e-4d696bda7877 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection MAUVE : Measuring the gap between neural text and human text using divergence frontiers
Reference 39
Source-reported events for the cited work
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Observation b3810f7d-78ca-438b-b7b1-9f3a3285bad8 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ZeRO : Memory optimizations toward training trillion parameter models
Reference 40
Source-reported events for the cited work
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Observation 2cce0095-f54c-470f-838a-72745a750b31 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection In-Context Retrieval-Augmented Language Models
Reference 41
Source-reported events for the cited work
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Observation 2d38456d-0332-411f-8394-c40ee91823ff · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Multitask prompted training enables zero-shot task generalization
Reference 42
Source-reported events for the cited work
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Observation db6a1fc6-fa68-4c8b-91c8-3722f21a3f36 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Chi, Nathanael Sch\" a rli, and Denny Zhou
Reference 45
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Observation 4caa7147-e0c1-450d-8a2c-d72011cfaae9 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ASQA : Factoid questions meet long-form answers
Reference 46
Source-reported events for the cited work
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Observation 8758f7d9-8fae-48a3-a2e1-06017121078c · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection FEVER : a large-scale dataset for fact extraction and VER ification
Reference 47
Source-reported events for the cited work
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Observation 4f859f2e-d80b-416e-aa6d-a02874d4be5e · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Dai, and Quoc V Le
Reference 50
Source-reported events for the cited work
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Observation 43985dd1-6cdc-48d7-858a-281e9932901a · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation
Reference 53
Source-reported events for the cited work
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Observation dc54b941-7eea-4ff6-a017-bca4ad0fbc9b · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Reference 57
Source-reported events for the cited work
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Observation 8940a7d5-f7e3-480d-9b4f-72c1a530efd9 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Scaling Learning Algorithms Towards
Reference 59
Source-reported events for the cited work
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection and Osindero, Simon and Teh, Yee Whye , journal =
Reference 60
Source-reported events for the cited work
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Reference 61
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Advances in neural information processing systems , year=
Reference 62
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ArXiv , year=
Reference 63
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection BBQ: A hand-built bias benchmark for question answering
Reference 64
Source-reported events for the cited work
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Observation f89a5ebb-8540-4c51-ae06-7d29ed8681f1 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Counterfactual Memorization in Neural Language Models
Reference 65
Source-reported events for the cited work
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Observation f2014641-a06c-44c2-b04e-9ae8c43b7e27 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Measuring Forgetting of Memorized Training Examples
Reference 66
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Reference 67
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Understanding Transformer Memorization Recall Through Idioms
Reference 68
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=
Reference 69
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Reference 70
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ArXiv , year=
Reference 71
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Observation 20dacd28-ec51-4ee6-ab25-e39c15100f6b · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Unresolved cited work
Reference 72
Source-reported events for the cited work
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection KILT : a Benchmark for Knowledge Intensive Language Tasks
Reference 73
Source-reported events for the cited work
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Generate rather than Retrieve: Large Language Models are Strong Context Generators
Reference 74
Source-reported events for the cited work
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large Language Models Struggle to Learn Long-Tail Knowledge
Reference 75
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Reference 76
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Reference 77
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
Reference 78
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection OpenAI blog , volume=
Reference 79
Source-reported events for the cited work
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Reference 80
Source-reported events for the cited work
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection OPT: Open Pre-trained Transformer Language Models
Reference 81
Source-reported events for the cited work
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Observation 22f56bc8-dd2d-405e-949f-3a84f083001b · outbound
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Reference 82
Source-reported events for the cited work
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Observation 7fa55cb8-9cd7-4b5d-aaee-980d2b075780 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Proceedings of the 39th International Conference on Machine Learning , year =
Reference 83
Source-reported events for the cited work
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Reference 84
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Dense Passage Retrieval for Open-Domain Question Answering
Reference 85
Source-reported events for the cited work
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Measuring and Narrowing the Compositionality Gap in Language Models
Reference 86
Source-reported events for the cited work
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Simple Entity-Centric Questions Challenge Dense Retrievers
Reference 87
Source-reported events for the cited work
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Reference 88
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Reference 89
Source-reported events for the cited work
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Observation b51fef49-47a3-4847-b4a8-52917a898310 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large Language Models Struggle to Learn Long-Tail Knowledge
Reference 90
Source-reported events for the cited work
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Observation f813d0dd-4b17-49e5-b3a9-4b0b94368a47 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Reference 91
Source-reported events for the cited work
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Reference 92
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Reference 93
Source-reported events for the cited work
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Observation dbb9c095-2a2f-4c01-8606-255b350f049a · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Foundations and Trends
Reference 94
Source-reported events for the cited work
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Observation afd10e2e-d335-49a1-8935-b299029ee3f2 · outbound
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Atlas: Few-shot Learning with Retrieval Augmented Language Models
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Reference 3
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Observation 7022a2ba-fc88-4c18-be1d-515d89c370c9 · inbound
Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 1
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Observation 3209d9c8-23b4-4d43-947f-55df09e1a46f · inbound
DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 3
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Observation b5e9e341-e715-49a5-84f7-ca1030b062fc · inbound
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2023
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Observation 06d96226-503f-4579-8eab-c8902e0a2654 · inbound
DeepThink: Aligning Language Models with Domain-Specific User Intents Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation 31002728-0aec-46e8-9d1f-748eb1022ffa · inbound
On Mechanistic Circuits for Extractive Question-Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2023
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Observation ec10fbcb-b2d5-4606-82fa-ee6e0b97f834 · inbound
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 3
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Observation 43c9b744-5050-4030-a2f4-ac3b53b71ef6 · inbound
Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 15
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Observation cabbdf0d-0947-4017-b776-e503322af09d · inbound
ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2ca4a5f7-87bb-412b-9750-0529a1747566 · inbound
A-MEM: Agentic Memory for LLM Agents Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 401ed315-5f31-46e7-910a-c2069bcc273a · inbound
In-depth Analysis of Graph-based RAG in a Unified Framework Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 88fa301d-86c6-4e3c-970b-22bfc023c9a8 · inbound
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 5
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Observation 7150a28f-b879-4e24-a816-3de40e21bf7a · inbound
UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 1
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Observation 1590e79f-c9d1-4614-8c8c-6455282373ea · inbound
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 9
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Observation 274e25ef-54ce-48b2-9cfa-dedba8afaf94 · inbound
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 1
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Observation aefb7aac-39ef-42eb-a345-e467ad2c9dbb · inbound
Neuro-Symbolic Query Compiler Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2007
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Observation 5313074f-566e-4887-8b53-4ac77057c962 · inbound
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation 6aadedf1-bce9-49ea-8245-6c74017f98d5 · inbound
RaDeR: Reasoning-aware Dense Retrieval Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation 55011346-8306-460f-b966-3ec815e347f2 · inbound
Removal of Hallucination on Hallucination: Debate-Augmented RAG Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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Observation 601b515b-1d0b-4725-ad7a-786a0b5938af · inbound
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation 48ad719a-41ae-4183-940b-6b06b6bcec88 · inbound
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 5
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Observation 98ec4865-75da-4888-bda4-d212917377c7 · inbound
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation 4dc8d241-64e5-4461-b4eb-70867489828e · inbound
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation a45a1687-cc6b-472b-a295-d96a8ab9402f · inbound
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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Observation 5b44bf24-70cb-4d8b-89f8-d309b5be151c · inbound
From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 5
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bcaa99fe-4436-4a6d-9e88-668c220cdb11 · inbound
Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 11
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Observation 5b137dff-aa56-4fc7-a188-4fca9c297ffa · inbound
On the Fundamental Impossibility of Hallucination Control in Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation bf8931c0-9ddf-442f-9271-4b1c7f1279ff · inbound
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 76
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Observation 4167d8e6-10df-4617-86dc-740d88bc40c5 · inbound
Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 8
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Observation ae9872cf-6a06-4926-ba7e-ac0b42f05f4f · inbound
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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Observation aded1a56-d264-4f86-888c-5e3238ab93b0 · inbound
CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 1
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Observation 33f10e3c-cfd2-4aca-bd1c-c9c71f84e935 · inbound
Maximally-Informative Retrieval for State Space Model Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2019
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Observation f0bfb5cf-c746-4694-91b5-0e107a15e5d5 · inbound
AviationLLM: An LLM-based Knowledge System for Aviation Training Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 19
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Observation 6c3fff47-6eb1-4bca-92fa-8e76c0ad8673 · inbound
CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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Observation 96fcc4ea-7249-48d0-9135-ca1ca25c81ce · inbound
Lessons from Training Grounded LLMs with Verifiable Rewards Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2023
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Observation 7f601504-2b8f-497b-ac87-fabb90d260b3 · inbound
SGIC: A Self-Guided Iterative Calibration Framework for RAG Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 4
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Observation de680752-2513-4781-9828-11dfdb327604 · inbound
SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 16
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Observation b02df137-4093-4e14-a4bf-7259a7925728 · inbound
Enterprise Large Language Model Evaluation Benchmark Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 48
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Observation 11e7c17a-1617-4717-8d1b-09d804482d8c · inbound
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cdb1f272-90d0-43c9-97a9-a8fb5cf76a3a · inbound
Small Encoders Can Rival Large Decoders in Detecting Groundedness Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 3
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Observation dabb8862-ced4-475b-9a65-bce21edb9c3f · inbound
Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2023
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Observation 644fde40-4959-4b09-adbe-62aec85eb048 · inbound
Question Decomposition for Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 1
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Observation 6d5fdb7d-a2a5-4d33-8898-5524ba2610b2 · inbound
RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 1
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Observation 2d4dad5c-1a53-4ae1-b71f-f644dec00430 · inbound
ElliottAgents: A Natural Language-Driven Multi-Agent System for Stock Market Analysis and Prediction Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 5
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Observation ee8387a6-9a34-41e4-8bd6-f3e1d8f1ee60 · inbound
TokenShapley: Token Level Context Attribution with Shapley Value Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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Observation a5c7e7ee-67ee-40e0-9bf8-5bd9875c497c · inbound
HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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Observation 27127e96-871e-462d-94db-4364bd9b75f8 · inbound
Shifting from Ranking to Set Selection for Retrieval Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2023
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Observation 64acea50-6863-4561-8828-bce153fa84bb · inbound
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 6
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Observation b87430a6-cb13-4a6b-9120-ec069c0814a5 · inbound
HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 5
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Observation 27eea1dc-3869-4297-84d2-5961f4532c1b · inbound
LLM-Based Config Synthesis requires Disambiguation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 2
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Observation 8d3b5034-34da-4f7f-b9fa-19be62bcfa71 · inbound
A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 5
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Observation 0a156c5d-56af-48e6-945c-e4d6bedb430d · inbound
Structured Relevance Assessment for Robust Retrieval-Augmented Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 8
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Observation c8322530-8e3d-4257-83e4-b5fc32fffa71 · inbound
What Deserves Memory: Adaptive Memory Distillation for LLM Agents Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 14
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.