Pith. sign in

Paper Citation Record · LEDGER

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation

As of 7 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 2026-08-07T06:34:17.273281+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

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:15.014802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:15.014802Z digest=sha256:66fcb1e3d9f50cb7ad776b8cd971adeb15ab8cd90380eab8edb10effea9a6efc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:15.090620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:15.090620Z digest=sha256:8fa84c8855ac9f583ec5f20c2395e436306a72cb97430bf586f9b8dc8f95dd53

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:15.172121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:15.172121Z digest=sha256:8cc5357f6a1933b7c8160efad0705fb4ca8bf34777578387af973fb727379f0c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:15.253176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:15.253176Z digest=sha256:b4d2503a2b1aeaa9cfcbe4ea42ab91b629e4bfa70894d990d455588b7ce028f7

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:15.393305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:15.393305Z digest=sha256:c908a44bea71588a5854560167e6fbc06551aaf59ddbc670c40b0e5eb9386a1c

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:24.413542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:15.543549Z digest=sha256:3e692ea444252ccad7d941ef4fe45f8238c4f36b6fd158dbf1f0fa8149bab83d

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:24.166387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:15.635196Z digest=sha256:bf1fa0279768d017702e7920db76c595d119b4741cc5db3b82785a5c2f2d828f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:15.758797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:15.758797Z digest=sha256:84989f075b97b4c2105d6447d3f45a213fe521840763e8c272459e6a8b4da8ec

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:15.856749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:15.856749Z digest=sha256:790034d70f70f99bf3001cd635faa157aaa36855db0ca53f7a4d6c0b1d757f41

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:23.880441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:16.025551Z digest=sha256:7c0944582cf9c426b00370f95e45ef2e5149b0d06901084a8b8af3942515b4c2

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.182107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.182107Z digest=sha256:b80dd0bd8cd26fe96e9b4302ea6eaf429fe852443e9fd28afc594e6d635235ef

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.290988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.290988Z digest=sha256:a53dcd16b7b66b3d6ae1f5b46a163fd74cb87bb2eed9af06fb5552f5ac812925

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.343041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.343041Z digest=sha256:685a7c9fd77b7d723b39d4a21a0118bea1a8fa3e058244149494dda9f2c6fc7e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.422285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.422285Z digest=sha256:7f2b09a07cc7251b0ee61ada41a7299552022525fdafa49e9532b851fc610aa0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.490441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.490441Z digest=sha256:258b09f61a67c158aed35a4198565222222db23f4b47dc2625f66333d9621174

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:23.593145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:16.568447Z digest=sha256:7141a8543e0408800b4bcff1c917cff3c9e398405a541230a932fac9909692ce

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.815679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.815679Z digest=sha256:7351186f684f3cf7a05296e9242cd5a86e1197149bdd6eca272ce5c85ead2a18

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.891893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.891893Z digest=sha256:e13cacd978767f8b0c8454cd567540cac21b43654a751bf5a3e076f134151b2e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.031547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.031547Z digest=sha256:8a1b7f330c7157a4ef2ce5813b00692a316e75ce992dd10f474ebf6654c720ab

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:53:21.147377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:17.147456Z digest=sha256:60d37e67d1a62f33b2acf3a89f52f05dc93d970bffa527d2e199ca89104cf2d9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.220200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.220200Z digest=sha256:8f113f5da7869021f91cb8817319f9de062e52fbb6bfd1a4adee33cad4f2df45

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.278436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.278436Z digest=sha256:d2f60df7f0132555dca519b154881834fb3de584cb9a8763a8142f1f528732a9

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

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.384276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.384276Z digest=sha256:ae5f05fa206483866f0c3802d8f230187bb56c010bf1631ea8890dbb0942689b

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

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.488743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.488743Z digest=sha256:f19d6b26f962e9ed933569b874373421a8a6c85d207ecc7d4ba0b2ec5611f2c1

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.564738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.564738Z digest=sha256:e3508a3d14f5f84d284f6521dc4665c022e49837a56c9434351bae573e30ecab

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:23.405410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:17.624194Z digest=sha256:d71ed1ee6608688ee1d53f5a92abd592c57be62e5ba5b0e95eb5f7741204b3e8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.699345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.699345Z digest=sha256:48dd3a5950ced9f3a49851ee244f56eec0b843c05e2464a615bfd9a3caa32537

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.754749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.754749Z digest=sha256:c4f6628c8ba9ff555de367c9a6b04a995aa9d74c332196786cdc4fc705db2ceb

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.815854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.815854Z digest=sha256:770477edd959d25be5efb3017a46be59b416cd0eb042a4ea9c08aadc127e27d4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.020784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.020784Z digest=sha256:1785001d31ee16f2dcc3fdf06cb4bcb870120087c4b108503b69580f15f3158c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.188311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.188311Z digest=sha256:2df11c3d4ab350273f8c1216eb731f87b8eca0fc254a76dc815eb7c3fc5d9e32

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.349674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.349674Z digest=sha256:3a02a1e7e9c51440d6a6ada2deac5c5c1555ccc0f53e29450bccbeb2d1b264ff

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.092861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.092861Z digest=sha256:50cd7aea8cf840615697aa5cc6e248629c70d684ff9337bb605bf0bd9c19bf97

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:23.226286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:18.676820Z digest=sha256:886c221b3da94b73a99eeb65f3595cdcbf037354a2ecc7e14f9f23d32670a22f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.922190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.922190Z digest=sha256:77df99ea93822b4ca356843a1bc7db85664883e824c283ca5b2904a0affdd58a

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:23.104104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:19.060260Z digest=sha256:477541e492cea790ec12413b31fd0a96a64ce557cc93c3f310ca0819533e2356

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.561534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.561534Z digest=sha256:725fc428f5ad05ac65bafebf632fc0cee4806f3c2e74ce9bb58a4a994bf8b84f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.287940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.287940Z digest=sha256:5f9486d96f68e869eaff11eea1c02b949ed489128ae3c03e0f17a97d0c6dd9da

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.791517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.791517Z digest=sha256:e116269c472e6fea41dab0ef71c6be34d5145d5c38b040c0533ab226f7c1a2ac

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.533782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.533782Z digest=sha256:52e132c973536a34db5bbc93ec584379bd6bc15431f4cf77e41cd0862e45a167

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.646988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.646988Z digest=sha256:525ca951fa3159644658f620fff75a1e277bfe3576236ec23e6f4a908814ac45

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.152641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.152641Z digest=sha256:2c8b66b5cb987c39ca1da0d130780f6de02e4afcc62aab48bff4b2bc4589f6e4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.868182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.868182Z digest=sha256:e19ace9035812358dc1c7d05c60352fd3e427206767e472fb4d20aff2f5f73fe

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.433996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.433996Z digest=sha256:7a423c5fefc5f31bd10a57a2650f7b4da56177519763a241be803b632ea6ca02

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:20.072426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:20.072426Z digest=sha256:bc84d61e14f3f6ad16cb8d15d8f65adbe0c0f685ac496b1aa1d9020b3d63556f

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:22.936418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:20.165657Z digest=sha256:aa1b078faed75c960b9b6f01cb5c63c3b9f9bdfb6729fb3e1039cb43b2697b80

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.763502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.763502Z digest=sha256:6cce231f938949ef162bd5a055b7788cabd628124b8cd5fea67e5c4dae9542fd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:20.422106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:20.422106Z digest=sha256:04932805bf4a47f8f3017ce102dfd9e8c724a5c3aa759c1752cce9e7e80f4ef6

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:19.979203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:19.979203Z digest=sha256:80ff1d52664c17781767af49f590a65aecf575ee9a36f0cb6e4c04d43a3ae793

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:53:21.662213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:53:20.294213Z digest=sha256:9a730f54e7658c81ffa4f51432c8fa11dd2e82426587f544c6713cd964c30c4e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:18.457966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:18.457966Z digest=sha256:714d3874426b88851eab426fef0c4f0f41c850294cf20e3f7258ecc408855c2c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:17.953795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:17.953795Z digest=sha256:ce4cba32f6f0bf1a52573b61d8aa441c0c61f462ecca90f83db62a583b4a9cb7

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:16.668640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:16.668640Z digest=sha256:bded513dc9dac85337acc732d5f08c43c38f5c6207d7d507a0cb4f1696f9d166

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:20.358295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:20.358295Z digest=sha256:780941c94424b24ce20a976241c7c3333e92d18f4ee141051daa165cd2fac366

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:36.016920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:36.016920Z digest=sha256:6927a901eb73796967f00e27fdbd1d26525bc4fa8d245bb57044b3df5a6fbff2

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

Resolution
unresolved
no resolver link, observed 2026-07-15T14:43:21.866055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:43:21.866055Z digest=sha256:e4f9793c5f98cd63e74deb82d5f88868b3d896091b8279b99f7090c67d4eeffd

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T12:22:59.494989Z digest=sha256:aa98cc8136c7b7e7ddfc204227d23c816d31e9082bfcb61b93cebafcc1525637