Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation | Paper Citation Record

Observation 4d1455cd-2358-486d-8a0d-3ca7b4c97dd3 · outbound

This paper cites Pathrag: Pruning graph-based retrieval augmented generation with relational paths.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Pathrag: Pruning graph-based retrieval augmented generation with relational paths

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.675416Z

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Observation e809aa83-59a1-4f70-bbb5-fd3b5d0dd777 · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:48:34.842623Z

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Observation ae562cd6-a511-4399-b227-d8bb3b34acb1 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.267720Z

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Observation 2a0f2d58-e929-4209-898c-6e304842d0fd · outbound

This paper cites Binding Language Models in Symbolic Languages.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Binding Language Models in Symbolic Languages

Reference 4

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Observation 2a13464a-cf6e-4105-a714-90c975e25e3e · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 5

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Observation f1b45943-2496-4d5d-9435-299d37ae7f2f · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 6

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Observation 9975a92e-4211-48df-a95c-4a1d6ed3e9a4 · outbound

This paper cites Pal: Program-aided language models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Pal: Program-aided language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.678970Z

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Observation 7afa5ab3-4f43-4c49-af83-91a9b4d9f1a0 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.337344Z

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Observation a558f558-8ce1-4f87-84da-3e1a8cdf075d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.254782Z

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Observation 8823cbc0-7c17-4a49-9f2b-202964108103 · outbound

This paper cites Hipporag: Neurobio- logically inspired long-term memory for large language models.Advances in neural information processing systems.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Hipporag: Neurobio- logically inspired long-term memory for large language models.Advances in neural information processing systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.652378Z

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Observation 464fdb07-185f-4c04-b1e1-945879a08bd1 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Measuring Massive Multitask Language Understanding

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.248711Z

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Observation 1a2d8dc9-4fa2-4d58-8ff5-e4d9141a2c8b · outbound

This paper cites Constructing a multi-hop question answering dataset for comprehensive evaluation of reasoning steps.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Constructing a multi-hop question answering dataset for comprehensive evaluation of reasoning steps

Reference 12

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Observation fb105d82-d7b1-4333-8f58-d2a1c0069ba8 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation LoRA: Low-rank adaptation of large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.683915Z

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Observation 752e40d3-1f0d-43a4-a2a5-4334315d0457 · outbound

This paper cites Da-code: Agent data science code generation benchmark for large language models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Da-code: Agent data science code generation benchmark for large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.701984Z

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Observation 11d62db1-9b4b-4bd8-b321-2e21425b38c6 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Qwen2.5-Coder Technical Report

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.330427Z

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Observation 298aaa1e-1e4f-4855-83e4-0349f93ad034 · outbound

This paper cites Active retrieval augmented generation.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Active retrieval augmented generation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.649794Z

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Observation fdc0f671-dfdb-463a-b396-84c914bda9a1 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.344206Z

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Observation 9d5a7799-4149-4e9c-84f2-f6ce5fc55494 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Dense passage retrieval for open-domain question answering

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.686218Z

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Observation 953794ef-e93c-4d9b-bf35-fc3c7e77e996 · outbound

This paper cites Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:07:54.323763Z

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Observation 8739ed8c-61dd-40f3-9e75-751eac6c6c50 · outbound

This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 20

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Observation d3afe7c3-d3e6-4106-8328-8004e04083e4 · outbound

This paper cites Natural questions: A benchmark for question answering research.Transactions of the Association for Computational Linguistics.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Natural questions: A benchmark for question answering research.Transactions of the Association for Computational Linguistics

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.700052Z

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Observation 3dca443b-222c-44df-bbfd-bbbb84951ff1 · outbound

This paper cites PhD thesis, UC Berkeley.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation PhD thesis, UC Berkeley

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.698050Z

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Observation dcc7bbfe-8102-47d7-a93f-337c0b7f78c3 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.659977Z

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Observation 49135f83-e4af-43ef-89a8-9a7b26fa85e7 · outbound

This paper cites Search-o1: Agentic search-enhanced large reasoning models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Search-o1: Agentic search-enhanced large reasoning models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.657377Z

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Observation bcab8c5b-f135-4f2c-8e87-1486890a596d · outbound

This paper cites Faithful chain-of-thought reasoning.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Faithful chain-of-thought reasoning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.664877Z

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Observation 10722e94-c740-4374-92fb-ba0acdf18ab1 · outbound

This paper cites When not to trust language models: Investigating effectiveness of parametric and non-parametric memories.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation When not to trust language models: Investigating effectiveness of parametric and non-parametric memories

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.673144Z

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Observation 140089c0-d0e5-4934-8db6-cd17c1972772 · outbound

This paper cites Logic-lm: Empowering large language models with symbolic solvers for faithful logical reasoning.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Logic-lm: Empowering large language models with symbolic solvers for faithful logical reasoning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.681687Z

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Observation 0b050a0d-2479-4ed0-bff8-6fb15088c0d4 · outbound

This paper cites Fact-checking complex claims with program-guided reasoning.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Fact-checking complex claims with program-guided reasoning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.707769Z

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Observation 9b591cc0-09b4-4206-a0d2-d2c27f8dffef · outbound

This paper cites Structure-augmented reasoning genera- tion.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Structure-augmented reasoning genera- tion

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:07:54.302910Z

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Observation f77b33c1-23bb-43e5-a212-941328675b71 · outbound

This paper cites Measuring and narrowing the compositionality gap in language models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Measuring and narrowing the compositionality gap in language models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.647321Z

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Observation dcd9d5e7-7ada-48db-b85e-76abd96c1756 · outbound

This paper cites Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.662782Z

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Observation 8312f05c-6aa2-46dc-a97a-5ba3d8a2f5c4 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.378364Z

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Observation 70ed94bf-01b8-4f1c-9f8a-cebb6b469a07 · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Hybridflow: A flexible and efficient rlhf framework

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.695505Z

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Observation 5ba34ad1-9798-4cd7-93d0-053cf6ad4bd4 · outbound

This paper cites Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Hypercube-Based Retrieval-Augmented Generation for Scientific Question-Answering

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:07:54.316847Z

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Observation a6ad63bf-2685-467d-a86b-10d9ce0d8f8b · outbound

This paper cites Multicube-rag for multi-hop question answering.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Multicube-rag for multi-hop question answering

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:07:54.357347Z

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Observation 32a97260-89ea-4f35-8c02-84b5cb93ef55 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.364963Z

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Observation 0fe2ae17-37ae-4eb8-bc64-1fa77e860d0c · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:44:13.577137Z

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Observation 346359be-23be-4557-b200-455add202caa · outbound

This paper cites Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.705808Z

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Observation 4fc2284c-2d8d-4a7c-8cd2-3237968e1eb8 · outbound

This paper cites Rethinking the reranker: Boundary-aware evidence selec- tion for robust retrieval-augmented generation.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Rethinking the reranker: Boundary-aware evidence selec- tion for robust retrieval-augmented generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.691257Z

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Observation 3bab93de-95c1-43ed-b0d0-197fedb8c872 · outbound

This paper cites GRACE: Generative representation learning via contrastive policy optimization.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation GRACE: Generative representation learning via contrastive policy optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.688768Z

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Observation 1944e1d5-da90-43bc-bf07-3e49aae3751c · outbound

This paper cites an unresolved cited work.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-15T17:20:11.670241Z

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Observation abb2f7c1-493a-4d66-9d5e-21117f6b0392 · outbound

This paper cites Tasr-rag: Taxonomy-guided structured reasoning for retrieval-augmented generation.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Tasr-rag: Taxonomy-guided structured reasoning for retrieval-augmented generation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:07:54.282154Z

Source-reported events for the cited work

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Observation fe5d6f1a-79e2-43f8-ba2d-3c21ae0eee18 · outbound

This paper cites DynamicRAG: Leveraging outputs of large language model as feedback for dynamic reranking in retrieval-augmented generation.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation DynamicRAG: Leveraging outputs of large language model as feedback for dynamic reranking in retrieval-augmented generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.632448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation abe87455-b1f7-45f6-bef3-a356261e7ad9 · outbound

This paper cites Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.703863Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2675cdda-865c-478d-a545-81800146ca87 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.667515Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 284d6312-2388-41ec-95d6-1306834e85ef · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Chain-of-thought prompting elicits reasoning in large language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.693275Z

Source-reported events for the cited work

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Observation eed18345-a7ca-41b8-9d8e-a3e87ff48bb9 · outbound

This paper cites Structure-r1: Dynamically leveraging structural knowledge in llm reasoning through reinforcement learning.arXiv preprint arXiv:2510.15191.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Structure-r1: Dynamically leveraging structural knowledge in llm reasoning through reinforcement learning.arXiv preprint arXiv:2510.15191

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:07:54.295618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 037eab7f-5016-437c-906e-740b660cdf6e · outbound

This paper cites Qwen2.5 Technical Report.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Qwen2.5 Technical Report

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.309586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1f80a762-1dc8-4ed7-bd0e-9cf5ecc539ea · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.650678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3006c138-2e4f-47ec-ac94-6793af41f435 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:07:54.350187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c443e3d8-b03d-4f4c-ae26-2b731f8731ab · outbound

This paper cites Unknown Error.

Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation Unknown Error

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T17:20:11.662506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers