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Paper Citation Record · LEDGER

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 3 inbound Pith citation observations for arXiv:2505.17391.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.17391 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:20.422106Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:36.016920Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T12:24:39.589042Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 84580aae-49ab-4e5b-a947-a36f7b326f54 · outbound

This paper cites GPT-4 Technical Report.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-07T14:53:15.014802Z digest=sha256:b9e3ce3f45547cfe0e4086afcc03518e03fda8bfcc7c89660e7896bc222ef9f1

Observation b1223b34-7823-41f3-9505-7cec79c8b9c5 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-07T14:53:15.090620Z digest=sha256:f7db0c14b272968b835bf3f099794c0fa4c770bf398a6e129d95ad136954384e

Observation e647cb5a-7a64-4daf-bc19-238d22fe4de5 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-07T14:53:15.172121Z digest=sha256:7031770bb61730d95f0a3e0e2448f3a1d8e66b4e2a4904c824c99e69226125bc

Observation 26b516a2-3f6b-4222-9979-2b8b18aa55dc · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 4

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source=pdf_text observed=2026-08-07T14:53:15.253176Z digest=sha256:cbfb6fdeffbfc51cba6a0427cc3465050e5ed980d1770caef83f7eed3050bb21

Observation 2f53c2f6-65b9-409d-9c69-2929e91a1d3a · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-07T14:53:15.393305Z digest=sha256:56d171eb2ff3264d247dd10d330a43c065a4c2db3e762548013931f1c26f8e0d

Observation 8a01c430-ff6b-45bf-acb2-c3183f774fa7 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-07T14:53:15.543549Z digest=sha256:23a549bbef0765b76f5c3e7ed8176031595f6c5a65416a4f615846c8713decb6

Observation 039e2d18-1788-4aa4-9d59-4e44b603995d · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-07T14:53:15.635196Z digest=sha256:dc6edb90a70cc31b73f9bbab7fbdefdb68af7a3d5e55096498e4683d76c495a0

Observation abad9de6-3882-4b49-b5f0-0a9d21c71ad9 · outbound

This paper cites SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback

Reference 8

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source=pdf_text observed=2026-08-07T14:53:15.758797Z digest=sha256:a3a38b0f855f9b68ca0d01ffa2b8bd393c86901b6231a588aadc2195d4cc9bc2

Observation 295591a9-e185-4fcb-a654-41ee1d56cabb · outbound

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

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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Observation 377f636e-31ba-4bea-b552-724eefd9fc63 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-07T14:53:16.025551Z digest=sha256:3b926b82df2bf7565fb0df2a579d379b6cfecf0b5ef2ca9d5721d938f43d008c

Observation 8ac2fce8-de6e-45e0-aa61-f358510b6fb4 · outbound

This paper cites RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning

Reference 11

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source=pdf_text observed=2026-08-07T14:53:16.182107Z digest=sha256:9ba7db3a8996b43c650fd18c7ca712f7a2abaebadbfe30e56758a741d3b2a698

Observation 0479f63e-9310-4086-b9f7-8a97add8c1ac · outbound

This paper cites Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling

Reference 12

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source=pdf_text observed=2026-08-07T14:53:16.290988Z digest=sha256:2ca20a6c7fb024e37ebbe324e8033a95bc481e773670820d4f101c5654bd0f99

Observation 7a1fd43a-aebc-4bc6-a8a1-eca587d94a2c · outbound

This paper cites Scam Detection for Ethereum Smart Contracts: Leveraging Graph Representation Learning for Secure Blockchain.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Scam Detection for Ethereum Smart Contracts: Leveraging Graph Representation Learning for Secure Blockchain

Reference 13

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source=pdf_text observed=2026-08-07T14:53:16.343041Z digest=sha256:e266f0e5c9a02dd2740aaa096fb642c5f4cae4b3f1c716d22e7182d1ab8c1c41

Observation 6846f235-c473-4af6-a352-1509aebe99e4 · outbound

This paper cites Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering

Reference 14

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Observation bb714cf5-580a-441b-a1c5-61ec151efa15 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-07T14:53:16.490441Z digest=sha256:d55e347e834c31583ff1dda689d7f00aaa5a3fca5933864cfd4457e577a70f2a

Observation 135b4c42-2b87-4f75-bd93-790c51a6da14 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-07T14:53:16.568447Z digest=sha256:509713b5a656ca68fbd7b0142c2185671351a0594bef7abc3ee864fde4351fdd

Observation d6ec0ae4-69fc-4f73-82b3-45a5ce4624c4 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-07T14:53:16.815679Z digest=sha256:73848d0232d4e05905801cfa5871ce6949948e9539020ae9c21445318d085725

Observation 1a909371-337d-479f-bc02-2dcc140df3d2 · outbound

This paper cites GraphSnapShot: Caching Local Structure for Fast Graph Learning.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation GraphSnapShot: Caching Local Structure for Fast Graph Learning

Reference 18

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source=pdf_text observed=2026-08-07T14:53:16.891893Z digest=sha256:2705702dddf9740f77097eaa80a7125c9e2c9532346c06155076dbdc1623e909

Observation 55e628ee-cdee-4d60-ad0f-da3aec743336 · outbound

This paper cites MT2ST: Adaptive Multi-Task to Single-Task Learning.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation MT2ST: Adaptive Multi-Task to Single-Task Learning

Reference 19

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source=pdf_text observed=2026-08-07T14:53:17.031547Z digest=sha256:572ccc233bb76ad2a5c2572f52784bb10fd860770e14a2ef5c39b58e4b5e5ce9

Observation a4229d85-f16d-4e20-8480-db5eb1cdc559 · outbound

This paper cites RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization

Reference 20

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source=pdf_text observed=2026-08-07T14:53:17.147456Z digest=sha256:84098f6241a66a39ff4fd5a546e49a2df54b9dcbaafb3c44fd499985d9a2395e

Observation 533c38c7-6d3b-46c3-9564-95402c1fc9c3 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-07T14:53:17.220200Z digest=sha256:7b5c9e0ce55d704567b8aae71b2bd0439efaf2c645674f5c979955c2c5152fe9

Observation 2d613936-fc9a-410d-8334-e06e29eb841e · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Measuring and Narrowing the Compositionality Gap in Language Models

Reference 22

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Observation 67a2c890-f157-47bd-ac7e-cc5c12c380fe · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

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Observation a1ecbf84-b1e2-4cb1-81b1-380c9026e927 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

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source=pdf_text observed=2026-08-07T14:53:17.488743Z digest=sha256:54ff2bb19d8ddec8db8ad948c62dad04a7476cb746507d9f26df0d337d7f0b82

Observation 19d9e024-5b70-459c-b633-df906e7f27db · outbound

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

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 25

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Observation 9c02533a-aa5b-4f7b-93b8-29465bc16538 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 26

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Observation 18238a6f-699d-4013-90f6-bb9f89e00b9f · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-07T14:53:17.699345Z digest=sha256:464d807833009f487f53be6b35ca476d45ebc9bf1e39032282076de27c8b1ec8

Observation 321085c9-4f35-4d21-b713-e7e67745c6f4 · outbound

This paper cites ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding

Reference 28

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Observation c3e94cf6-26f0-4018-9b7a-e193db2db88c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation LLaMA: Open and Efficient Foundation Language Models

Reference 29

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source=pdf_text observed=2026-08-07T14:53:17.815854Z digest=sha256:4bb2259bea89a1f1cd047a8051369c3e0f966839c05238e624c000a042c6179a

Observation 916d120d-5170-44e0-b4d0-780d5773d9de · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-07T14:53:18.020784Z digest=sha256:0f772f19d934081887cb6bad8e2c574988db477e26f1916ee9668265982c93eb

Observation d8a35478-b016-4a68-bffc-6a9a2bed20a5 · outbound

This paper cites RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects

Reference 32

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source=pdf_text observed=2026-08-07T14:53:18.188311Z digest=sha256:6d81ae7e88083acc472ea3ac30531bdf42d5b4e51bac39784a7336b586eedeaa

Observation 55891a1b-3b3e-4c08-8665-50c3132f9d21 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-07T14:53:18.349674Z digest=sha256:c1e6982b7a5a8d18956c1f48d7b57b4720a0f84a45d7f439e56ae450d7754628

Observation 47b15b4f-cd95-4ed2-b603-d83473942b8c · outbound

This paper cites Transactions of the Association for Computational Linguistics 10 (2022), 539–554.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Transactions of the Association for Computational Linguistics 10 (2022), 539–554

Reference 34

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source=pdf_text observed=2026-08-07T14:53:18.092861Z digest=sha256:9566fca417f0b810b5642052947314101aff43f77f32d7dc1e59cdb93cac08db

Observation 77b6e025-60f0-4e87-b2be-bce3ce57ab30 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:53:18.676820Z digest=sha256:bf96e96adb06ea44a46ff247e3ac829474a3473e427e2bc1d5128a3daae65c37

Observation 09d6b472-a2af-41c6-8f5f-444661a4041e · outbound

This paper cites InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

Reference 36

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source=pdf_text observed=2026-08-07T14:53:18.922190Z digest=sha256:66c14f6d457c0c12f8ad272b6b855ecd607588e078d6010ca6c4ce068bd7172b

Observation 59bca393-3aa6-4da8-a815-a57238679064 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-07T14:53:19.060260Z digest=sha256:3b8c2b198478b28d9a48cc204d35fc875449c5e2c8296bd9023901671e1ccd71

Observation edf635c5-338a-4c6e-a34b-d64d52fdeecc · outbound

This paper cites MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 38

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Observation fc66a19d-d994-4fd1-a13a-76c91ce23c71 · outbound

This paper cites Qwen3 Technical Report.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Qwen3 Technical Report

Reference 39

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source=pdf_text observed=2026-08-07T14:53:19.287940Z digest=sha256:1664e39ccc28a0c64f9c46bc99e46ff0eadd01830340ca9975f9f3e62bb79c2f

Observation 7e365823-f04e-4598-83f8-2022d759d626 · outbound

This paper cites Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Reference 40

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source=pdf_text observed=2026-08-07T14:53:18.791517Z digest=sha256:fea97f78a1b705289ffae20b8539963e8452b145c052e27c1c269153fa0da436

Observation 7993c6d0-7706-4374-87a1-1ec31fa5a585 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 41

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source=pdf_text observed=2026-08-07T14:53:19.533782Z digest=sha256:dbf1fcbd19c210a2c3f95cd2dd7ce016db06b9ae606e26a4fe455b7b29a85e85

Observation a9917a52-7009-40f8-bcc1-74544ed0b1f2 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 42

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Observation 4f8dcb8a-9872-4386-a866-3707322b1578 · outbound

This paper cites Supervising the search process produces reliable and generalizable information-seeking agents.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Supervising the search process produces reliable and generalizable information-seeking agents

Reference 43

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source=pdf_text observed=2026-08-07T14:53:19.152641Z digest=sha256:000fe219befb52ca5a7630f7dba61e47a4eec5ec8415a234db4ed3f6f9d6713d

Observation add02dd8-6bea-44d8-8831-95acd5e49425 · outbound

This paper cites SiReRAG: Indexing Similar and Related Information for Multihop Reasoning.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation SiReRAG: Indexing Similar and Related Information for Multihop Reasoning

Reference 44

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source=pdf_text observed=2026-08-07T14:53:19.868182Z digest=sha256:aebc0acbf7301453d526f27dcb6e14eb3ba0bfc82119ed531b3b8fe8be2e1732

Observation 8c7849ee-c241-4eef-ad19-189d83170679 · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-07T14:53:19.433996Z digest=sha256:97ff6a8cc2d4e34087d0c479ba1bb4b1c0e4cd922e39d5c4e16602a9c0c3e3d4

Observation 4cf87c32-1641-4c6d-9c84-0255a143f85b · outbound

This paper cites Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning

Reference 46

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source=pdf_text observed=2026-08-07T14:53:20.072426Z digest=sha256:3635c17ef13d48cb7966bdaf5ae40bfda50fcac776f0db0ccb1fa9bdd8c1b04f

Observation 61015e4b-c3d3-4b4c-9cea-7651771fca0c · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-07T14:53:20.165657Z digest=sha256:80d19050777b070b856cc1a301960e1465279065aab019a5a2ff019968aa6b23

Observation 5ebd14fa-6b07-49f2-93f3-889bef9dd74c · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 48

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Observation 582ed733-6de2-4f9c-95fd-af9fafa867a1 · outbound

This paper cites Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 49

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Observation 6a95b0a5-e141-4496-a45a-e2b024937985 · outbound

This paper cites Automated Parking Trajectory Generation Using Deep Reinforcement Learning.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Automated Parking Trajectory Generation Using Deep Reinforcement Learning

Reference 50

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Observation 63bece88-7485-4821-a8f2-fd7e0a094ebe · outbound

This paper cites an unresolved cited work.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-07T14:53:20.294213Z digest=sha256:87fce22fc2bc219d4405e01d91cf08e04709a53840402fe7391e739cd384c40c

Observation 6c8bab39-76e5-4e2c-894e-d32d60b776b5 · outbound

This paper cites Advances in neural information processing systems 33 (2020), 5776–5788.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Advances in neural information processing systems 33 (2020), 5776–5788

Reference 2020

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Observation 3243b1be-7d22-4a4e-842e-c6cb63247843 · outbound

This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Reference 2022

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source=pdf_text observed=2026-08-07T14:53:17.953795Z digest=sha256:48223c26a8ac2de6fe262a0297adaaf330dc6f0e7e804e3ef4847793a988d637

Observation 9cb2b352-c193-4bf7-b119-c9ad04234e25 · outbound

This paper cites Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Reference 2024

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Observation c0450736-3660-444e-9301-faa1ea828c0b · outbound

This paper cites Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraints.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraints

Reference 2025

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Pith citing papers

Observation a8e4edd0-7322-4a71-aaed-5d0579545e48 · inbound

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning cites this paper.

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation

Reference 30

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source=pdf_text observed=2026-08-07T05:38:36.016920Z digest=sha256:1ed1c2a73437e38941a0795d3ab5dee94fbf841e6124c5be6dd7d4c0c2172c8f

Observation 4a4d6b1b-9181-4a1b-968b-c05b004996ec · inbound

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum cites this paper.

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation

Reference 11

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source=pdf_text observed=2026-07-15T14:43:21.866055Z digest=sha256:d23a69b0e6dea32c028e31516bbbe48671bb937f45ae13511e72dd4b0ba8c578

Observation e81a4a00-2486-416b-8351-ec8c56bdf6fc · inbound

How Many Tools Should an LLM Agent See? A Chance-Corrected Answer cites this paper.

How Many Tools Should an LLM Agent See? A Chance-Corrected Answer Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation

Reference 12

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arxiv_id, observed 2026-06-30T12:24:39.591834Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T12:22:59.494989Z digest=sha256:bfd203e1fc2497ddeab83550547cebbf80e9b0e0a8b53e45a7987d275b639d58