Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T01:45:05.061275Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.26497.
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 2026-08-03T01:45:05.061275Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fa50c9f7-5ddd-4446-a84a-ad747ea36fef · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
Reference 4
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Reference 6
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BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Reference 7
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Observation 75444b3e-a8e0-46be-b336-0389f7ab595d · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Active Retrieval Augmented Generation
Reference 9
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BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Dense Passage Retrieval for Open-Domain Question Answering
Reference 12
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Observation 8055cc13-1163-4341-883f-8de523128c72 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Reference 15
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Observation 5422ced9-9c42-4d97-8417-55d02e819f60 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Graph Retrieval-Augmented Generation: A Survey
Reference 19
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Observation a87c4ac4-3cb9-4e53-afd5-7af0294cc0ca · outbound
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Reference 20
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Reference 22
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BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms The probabilistic relevance framework: BM25 and beyond
Reference 23
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Observation 9a345307-a561-4ae9-9104-651a17563e33 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Toolformer: Language Models Can Teach Themselves to Use Tools
Reference 25
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Observation 97b60704-d5b3-440b-a3b2-e0e86951be44 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Reflexion: Language Agents with Verbal Reinforcement Learning
Reference 26
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Observation 23045ae3-592d-4f39-acc6-3f0ef45ba58d · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Reference 28
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Observation 8a865612-80d0-4506-b571-b2e1daeba2da · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 35
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Observation f25734fa-a0da-4ce0-8be8-28ce00010e9d · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Reference 36
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Observation 0462491d-b396-4161-bfe5-f6c066595c0c · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2021 , eprint=
Reference 37
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Observation 64f872e4-8d79-4312-841d-0609d959ac06 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2023 , eprint=
Reference 38
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Observation d4a6f8e4-3516-4d13-a4b7-6902ce15d3dc · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms LightRAG: Simple and Fast Retrieval-Augmented Generation
Reference 39
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Observation 60ca2644-b7a2-4242-9dbd-da81a22ae3b0 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Unresolved cited work
Reference 40
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Observation fedc0324-271f-42e6-9043-0b25cff9a776 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2025 , eprint=
Reference 41
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Observation c3bd064a-a7ed-47fa-8559-51725bbec41b · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms REALM: Retrieval-Augmented Language Model Pre-Training
Reference 42
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Observation c5a91392-fd3e-4608-9a11-622a5746bd73 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Proceedings of the 11th international conference on World Wide Web , pages=
Reference 43
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Observation e6a652e1-d244-44a2-8780-6c734adf3436 · outbound
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Reference 44
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Observation 4fd60e34-d2ae-4980-9058-988d41caf478 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2021 , eprint=
Reference 45
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Observation dfc98c2c-4912-4c15-a1ad-efeb526e4ab1 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Proceedings of the 16th conference of the european chapter of the association for computational linguistics: main volume , pages=
Reference 46
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Observation 26e17e99-5b3f-4bd8-853f-b95ac6e0ab14 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2023 , eprint=
Reference 47
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BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 48
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Observation 94270887-7118-46f7-89a8-40ce505439aa · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Findings of the Association for Computational Linguistics: ACL 2024 , pages=
Reference 49
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Observation 2aa30d10-5887-4892-b0ed-766b81c6d820 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Reference 50
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Observation a336ca96-77ab-4413-9980-f84929e71f38 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2020 , eprint=
Reference 51
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Observation 9a263b7b-f2c5-40e4-a629-ac3363b195e0 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Reference 52
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Observation 27e16ef4-100d-4faf-8070-a86d3af21a23 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Efficient Memory Management for Large Language Model Serving with PagedAttention
Reference 53
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Observation beba015d-9b8a-4253-bc96-0d916d3414bb · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Retrieval-Augmented Generation for Knowledge-Intensive
Reference 54
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Observation 9fa6afcf-4d27-4cd7-9e0e-9b80dce61699 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Companion Proceedings of the ACM on Web Conference 2025 , pages=
Reference 55
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Observation 2e3c249d-a813-4bdd-b487-570d15b7e6af · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Reference 56
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Observation c5a7733e-31d4-4289-b5fe-c4a62d582b69 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Reference 57
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Observation 9c6988b3-0ca1-46c3-9423-c83deadd8fa7 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms WebGPT: Browser-assisted question-answering with human feedback
Reference 58
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Observation 04f6cc06-34db-4704-bec2-133f68ae655a · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2024 , eprint=
Reference 59
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BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2023 , eprint=
Reference 60
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Observation bd3b0046-b4ce-47eb-8b0f-199a41ea5fbe · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Reference 61
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Observation 99577342-0b48-4896-a2f4-8029dd3f7f11 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2023 , eprint=
Reference 62
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Observation 930dd302-9755-4884-9aff-380472d72cf3 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms The Probabilistic Relevance Framework:
Reference 63
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Observation 18f0cfd1-18fc-42e2-8172-ba852a30b32e · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2023 , eprint=
Reference 64
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Observation a14cdc19-793a-4ea7-8172-b9e28814a5bf · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2023 , eprint=
Reference 65
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Observation 913ca23f-5184-4540-ba84-7f7b6e2d6829 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
Reference 66
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Observation f2454a17-6ebd-4c52-9218-03ca9647f2e3 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge
Reference 67
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Observation ad7cb938-b9ea-4072-b573-87e6f250ee70 · outbound
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Reference 68
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Observation 16b3510f-8900-4410-99ce-d357c2035280 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Unresolved cited work
Reference 69
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Observation a6a03da5-f3c1-457f-94a4-4991a02f9bed · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Reference 70
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Observation 20290a4a-7acd-4bfd-9520-f6c4330ef833 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms CRAG -- Comprehensive RAG Benchmark
Reference 71
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Observation 9ac065fc-483d-479b-8f56-a64f64a5c9fe · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2024 , eprint=
Reference 72
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Observation b63f34b2-3ba9-485b-ac27-e76125e508ac · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 73
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Observation 88a76be0-ff02-44ff-8a08-cfe084ad1a8f · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms ReAct: Synergizing Reasoning and Acting in Language Models
Reference 74
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Observation f3f974fb-43be-4edb-8934-23dd9c8fe21b · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Reference 75
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Observation 31ca9ceb-c218-47f3-aac7-708a48b10c97 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2024 , eprint=
Reference 76
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Observation 174b3f13-d37e-418c-b3d8-8d3a7858c345 · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Reference 77
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Observation f6cca988-228a-49aa-afd7-c0e7ad6145ca · outbound
BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 2023 , eprint=
Reference 78
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No inbound Pith citation observations are available.