Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T15:45:19.022779Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2512.15922.
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 2026-08-03T15:45:19.022779Z
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
64 of 64 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8c3c338a-9aa2-4e2b-8cd7-5f772dca278c · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Retrieval augmented language model pre-training
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18612d66-ec2a-4999-af6d-71a05e224175 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020
Reference 2
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Observation e7a065bf-169d-4fca-a6b2-089f954b68c2 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Retrieval-Augmented Generation for AI-Generated Content: A Survey
Reference 3
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Unavailable: canonical work link unavailable.
Observation e73e4e3a-1777-4732-932a-baa74b6d0058 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems A survey on rag meeting llms: Towards retrieval-augmented large language models
Reference 4
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Unavailable: canonical work link unavailable.
Observation 25e1584f-2afd-4845-b5ed-07cde640e203 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 5
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Observation 8043200b-5af8-495c-af76-e9e0b5eb4f39 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions
Reference 6
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Observation 772628b0-37ab-4bd0-954a-7f2bd8b09f37 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Graph Retrieval-Augmented Generation: A Survey
Reference 7
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Observation f0dd5def-2010-4e86-8466-603960b7c032 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Retrieval-Augmented Generation with Graphs (GraphRAG)
Reference 8
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Observation 759287d2-609c-403f-9947-2442ba596d84 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Neural, symbolic and neural-symbolic reasoning on knowledge graphs.AI Open, 2:14–35, 2021
Reference 9
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Unavailable: canonical work link unavailable.
Observation 39b51380-4b49-4566-a8c7-5e732377e1e9 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Knowledge graphs, large language models, and hallucinations: An nlp perspective.Journal of Web Semantics, 85:100844, 2025
Reference 10
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Observation 868034b7-853c-4dbd-90c4-ad1899e92b6c · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Unifying large language models and knowledge graphs: A roadmap.IEEE Transactions on Knowledge and Data Engineering, 36(7):3580–3599, 2024
Reference 11
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Observation 83e64805-4bbe-41bb-a91e-7ce915bd2c3d · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems End-to-End Beam Retrieval for Multi-Hop Question Answering
Reference 12
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Observation 0680d1d3-8aed-4da7-84dd-3c0709d83594 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Reference 13
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Observation 4bd10b9d-a791-44d7-8388-3a82b567d7c4 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Knowledge graph prompting for multi-document question answering
Reference 14
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Observation bd06d4da-b18a-4221-b704-e83caf525ba0 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Hipporag: Neurobiologically inspired long-term memory for large language models.Advances in Neural Information Processing Systems, 37:59532–59569, 2024
Reference 15
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Observation bc048b27-f3f2-4015-aace-51af2d3bd6d8 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Reference 16
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Observation 8e607789-9c83-4216-895d-538cbd0ff188 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Application of spreading activation techniques in information retrieval.Artificial Intelligence Review, 11(6):453–482, 1997
Reference 17
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Observation fb775d5a-97a6-44e9-9341-b2d8f47b885c · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Natural language processlng using spreading activation and lateral inhibition
Reference 18
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Observation 8b169a63-f835-4832-8f7b-fbf95123d37d · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Word sense disambiguation with spreading activation networks generated from thesauri
Reference 19
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Observation 080992d1-299d-4389-ba50-4ff63d3521bd · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Unresolved cited work
Reference 20
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Observation 56a5430c-a6f6-4939-9f63-be158dc3a828 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Kg-infused rag: Augmenting corpus- based rag with external knowledge graphs.arXiv preprint arXiv:2506.09542, 2025
Reference 21
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Observation 46b1a4b1-f57f-4098-bd13-982937ebcf16 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Multi-hop question answering.Foundations and Trends® in Information Retrieval, 17(5):457–586, 2024
Reference 22
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Observation 0bec95b3-8c98-4e1c-9e62-37b0f85288a4 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Query2doc: Query Expansion with Large Language Models
Reference 23
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Observation d4085e0c-57ac-45a9-a6aa-177df1cd7951 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Precise zero-shot dense retrieval without relevance labels
Reference 24
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Observation 62513763-4209-4167-b3f4-7ab976c2ee06 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Query rewriting in retrieval-augmented large language models
Reference 25
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Observation 95fc4217-f37a-43e9-9f54-5b31aab8a365 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable
Reference 26
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Observation df69ecda-3861-475c-9715-e9cab7809821 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Reference 27
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Observation d73b1c36-641a-4ff7-95ba-c8518513d8f6 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Tree of clarifications: Answering ambiguous questions with retrieval-augmented large language models
Reference 28
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Observation b3ec2b50-5eae-4ffd-8296-5b33c74c6b4c · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Reference 29
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Observation 4635d66c-0407-4474-9838-b9c84ffce721 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Reference 30
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Observation df505f9a-3a43-48b7-bf47-042add39a527 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Corrective retrieval augmented generation.arXiv e-prints, pages arXiv–2401, 2024
Reference 31
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Observation 613870c6-3139-45cf-b389-53007f9f2898 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Reference 32
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Observation 0d4b68e4-0c33-4bec-8015-bdd6d9e207c1 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems LightRAG: Simple and Fast Retrieval-Augmented Generation
Reference 33
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Observation 1bc5718f-1718-47dd-b3fc-bfdc2d287a10 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems G-retriever: Retrieval-augmented generation for textual graph understanding and question answering
Reference 34
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Observation 0b9c5781-0454-4344-b5de-32b2c278e912 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Reference 35
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Observation d90add14-7ae7-40c5-9895-ecf538ef1db5 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Word concepts: A theory and simulation of some basic semantic capabilities.Behavioral science, 12(5):410–430, 1967
Reference 36
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Observation c54d9cbd-1dc5-4bd1-b493-a3657ee8a0ed · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Retrieval time from semantic memory.Journal of verbal learning and verbal behavior, 8(2):240–247, 1969
Reference 37
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Observation 6a365080-6de5-4740-ace4-898e239aa14f · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems A spreading-activation theory of semantic processing.Psychological review, 82(6):407, 1975
Reference 38
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Observation a3110427-f80f-430a-bb67-fd68edb5366a · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems A spreading activation theory of memory.Journal of verbal learning and verbal behavior, 22(3):261–295, 1983
Reference 39
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Observation 90554173-659c-4664-a515-84fb83d2c6d7 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems On the use of spreading activation methods in automatic information
Reference 40
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Unavailable: canonical work link unavailable.
Observation ceb07e95-e50b-4781-b976-7d6ea2ad6e6d · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Pure spreading activation is pointless
Reference 41
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Observation d1f197de-2537-41dc-82d8-ff57dd35b76d · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Discovering Latent Information By Spreading Activation Algorithm for Document Retrieval
Reference 42
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Observation f29dde60-340f-4b53-8329-295f46c62220 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Adapting spreading activation techniques towards a new approach to content-based recommender systems
Reference 43
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Observation 820de4c6-86c4-489c-8523-c1bab037463f · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Context aware personalized content recommendation using ontology based spreading activation.International Journal of Information Technology, 10(2):133–138, 2018
Reference 44
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Observation a848e803-c67f-4002-aacd-70896970fa0a · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics, 10:539–554, 2022
Reference 45
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Observation f322f208-5048-4895-9dba-2754ff805845 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Reference 46
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Observation ce08ae01-fad7-41aa-a797-917742a475a1 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Reference 47
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Observation f5020713-c528-4db4-9fac-3c795c293a0b · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Understanding Dataset Design Choices for Multi-hop Reasoning
Reference 48
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Observation 3b040f80-d143-4404-bae9-85031b7c44fb · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning
Reference 49
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Observation 04dab354-5a84-46f5-a7f2-d18142094b1a · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Compositional Questions Do Not Necessitate Multi-hop Reasoning
Reference 50
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Observation 0dff7759-5daf-4008-bb17-5d8ebf10d90b · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems John Phan,
Reference 51
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Observation a8d8d4c9-e669-4cc0-9757-7a3e13291145 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems * Prefer single-hop, factual questions (entity→attribute, entity→location, entity→relation)
Reference 52
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Observation fa4bcf7b-ec52-4d93-a6db-dd1cb556d22c · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems * Stop decomposing when the main query becomes answerable
Reference 53
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Observation 22f44e1e-190b-4bb2-9867-ba24c94a8cd8 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems * Number the subquestions in the order they should be executed
Reference 54
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Observation 4804df41-576a-4a81-af56-547ab3414efc · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems original_question
Reference 55
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Observation 5f3f4c9d-4a2e-456e-8a81-71180b7c4b12 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems The Argentine PGA Championship record holder has won how many tournaments worldwide?
Reference 56
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Observation 512a0607-64c4-4829-897b-1f2b8928918d · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems born in,
Reference 57
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Observation 9d2f8349-166d-4917-a7b1-5b6519c30426 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Jack Parsons was ,→born in Los Angeles
Reference 58
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Observation cf2766fc-0b93-467f-9d35-1dcc085077eb · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems triples": [ [
Reference 59
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Observation e9a3d21f-6fa7-4e16-8840-09ca441019e1 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Unresolved cited work
Reference 60
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Observation 0a145aac-df2d-4514-8b60-f38a5cdb5944 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems ## Task description Your goal is to **understand and reason through the question** using only the information provided
Reference 61
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Observation 1c83f483-3245-48aa-8d44-97466fb39bf1 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems Unresolved cited work
Reference 62
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Observation 2d8513fd-7c04-4ee8-8501-e31d0c538121 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems - Write in full sentences
Reference 63
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Observation 4af97dca-db12-4c07-9dfa-1e70f425b3d7 · outbound
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems answer_possible
Reference 64
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No inbound Pith citation observations are available.