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Paper Citation Record · LEDGER

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 22 inbound Pith citation observations for arXiv:2411.19443.

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

pith.paper-citation-record.v1
2411.19443 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:15:25.212963Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:27:09.712665Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:21.491950Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16bbab3e-8ba1-44a7-ba5f-3cf01611c099 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

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no resolver link, observed 2026-08-12T10:15:24.993833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:24.993833Z digest=sha256:80a21778d394e552a6725397f6b78bd841082c1603578ae51ab6e008c2b07fb2

Observation ae1975a4-d696-44bb-b36c-f293feebca46 · outbound

This paper cites Qwen Technical Report.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Qwen Technical Report

Reference 2

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source=arxiv_source observed=2026-08-12T10:15:24.999300Z digest=sha256:00ef860b0ef26b07dd786659167730133b82eb8f319b6b81ac0789c1815eafb9

Observation 804389d9-904b-4dc1-82b5-932e1152d6e1 · outbound

This paper cites Semantic parsing on F reebase from question-answer pairs.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Semantic parsing on F reebase from question-answer pairs

Reference 3

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:15:25.004284Z digest=sha256:9903bb011e66fcb7530bde63863abfe864f13774f4ea28751783e7286e13acde

Observation ef620fb1-6b49-494d-b58e-2b9b6db43275 · outbound

This paper cites Language Models are Few-Shot Learners.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Language Models are Few-Shot Learners

Reference 4

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no resolver link, observed 2026-08-12T10:15:25.009446Z

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source=arxiv_source observed=2026-08-12T10:15:25.009446Z digest=sha256:60bb573c59fe9d0822161ff8cf6e86b9933ebb17e8c8d3ecdba26646ab0d7fa6

Observation 3cfe108b-516e-4c7a-aaaf-03bffca2f82d · outbound

This paper cites RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.014123Z digest=sha256:596953d58f4592afea1c34dee05411fd78bbf66d5dab5916cbe01a7348e125dd

Observation abbba7ac-1354-4ef0-a08b-4e0ee46f80b9 · outbound

This paper cites Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation, 2023.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation, 2023

Reference 6

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no resolver link, observed 2026-08-12T10:15:25.018462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.018462Z digest=sha256:428bd6471e1937cd8c2296b9b8842a28a8c3c7e4749308a7212090a45e08df89

Observation 75d38f13-f6dd-4f88-896b-ef81bcd450d6 · outbound

This paper cites Mindsearch: Mimicking human minds elicits deep ai searcher.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Mindsearch: Mimicking human minds elicits deep ai searcher

Reference 7

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no resolver link, observed 2026-08-12T10:15:25.024770Z

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source=arxiv_source observed=2026-08-12T10:15:25.024770Z digest=sha256:9a8e965b6ac983667a9eaef00c9cf48a778f242258ddd964560676f24aa4e926

Observation 814f2f81-04f2-4828-a774-1f858aeecf2e · outbound

This paper cites B eam A gg R : Beam aggregation reasoning over multi-source knowledge for multi-hop question answering.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models B eam A gg R : Beam aggregation reasoning over multi-source knowledge for multi-hop question answering

Reference 8

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source=arxiv_source observed=2026-08-12T10:15:25.029520Z digest=sha256:5a122aee17930d2a56a1d29b8fba6258b14af9c0ea9b5155c3fc44ac59269487

Observation 74fbeb49-a69e-4242-8cd3-2bed70e37599 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

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source=arxiv_source observed=2026-08-12T10:15:25.033936Z digest=sha256:84dc5ea287d83226d57037f18b287bf79991c2b0dde25c37698ab72ecf094b1d

Observation a78b203b-9f5b-40ac-bea2-ac89559f5627 · outbound

This paper cites The Llama 3 Herd of Models.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models The Llama 3 Herd of Models

Reference 10

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source=arxiv_source observed=2026-08-12T10:15:25.038553Z digest=sha256:6de43453bfbd91b3de04cd0b7ab4925ca9ae967e70ebdc8016c1e8cf1395f94b

Observation 240f8450-29fb-4a63-a0ae-4b31ec513ab9 · outbound

This paper cites Retrieval-Generation Synergy Augmented Large Language Models.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Retrieval-Generation Synergy Augmented Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-12T10:15:25.043503Z digest=sha256:700f76f507cf5de35f36bfa6332c4f8fc50a8088392d133e0cd953eaf2501dba

Observation d7e43aa8-bb53-4535-815b-02fff14e20fb · outbound

This paper cites Retrieval-augmented generation for large language models: A survey, 2024.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Retrieval-augmented generation for large language models: A survey, 2024

Reference 12

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source=arxiv_source observed=2026-08-12T10:15:25.048513Z digest=sha256:466b89e009396090dd1e88886efe2547c9ef202f4d6e9a62cb1de29c03f591fc

Observation e0829825-a821-4433-ac31-6c3e2db161ff · outbound

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

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:15:25.850311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T10:15:25.053236Z digest=sha256:7fb28997aa5c5c53b387b5061d895b05b8a4a31a7ccded14fdffcd34f90fa529

Observation 99ae993c-66fb-4c10-9478-2dfe251c07f6 · outbound

This paper cites Why so gullible? enhancing the robustness of retrieval-augmented models against counterfactual noise.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Why so gullible? enhancing the robustness of retrieval-augmented models against counterfactual noise

Reference 14

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source=arxiv_source observed=2026-08-12T10:15:25.057921Z digest=sha256:50528d8634954440e5be7c104cd87f704cda43a75f54025be3bc1e299901a640

Observation 69976f29-b226-4912-aeff-59851517a2cd · outbound

This paper cites Atlas: Few-shot Learning with Retrieval Augmented Language Models.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Atlas: Few-shot Learning with Retrieval Augmented Language Models

Reference 15

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source=arxiv_source observed=2026-08-12T10:15:25.063288Z digest=sha256:4b54052fc7f41c7155cf0aaa922dddaecc3a3e17b609f80eacb60f076e801b83

Observation 456b9e39-3a33-4246-bb05-a313dfe2a7be · outbound

This paper cites KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph

Reference 16

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source=arxiv_source observed=2026-08-12T10:15:25.068386Z digest=sha256:2f3a9eea18dd85937ec91988f5d6214ba198a42c98ca02daaad424d422b2afd2

Observation ba600528-ae94-437e-ab95-7e41185cc075 · outbound

This paper cites Active retrieval augmented generation.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Active retrieval augmented generation

Reference 17

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source=arxiv_source observed=2026-08-12T10:15:25.076669Z digest=sha256:83e27742a5824898ee42b94c302b078cf38a86f9ffe2495a2d7c12f454f545e6

Observation 73a5a782-956c-4cb4-940c-20f5781adf65 · outbound

This paper cites FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research

Reference 18

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source=arxiv_source observed=2026-08-12T10:15:25.080472Z digest=sha256:6eec5ad308eedd09971e922a1b0fabaeab7ede541378409f903c757a44e1f2cf

Observation 6a7191c0-c2eb-4143-b9da-296ada191d71 · outbound

This paper cites T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension

Reference 19

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no resolver link, observed 2026-08-12T10:15:25.084604Z

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source=arxiv_source observed=2026-08-12T10:15:25.084604Z digest=sha256:2825bc1cbad373e6ff47a1c37cb118145ef578dd3a0f0da337a281838fe6ccb4

Observation bff3cd83-62c4-4d26-8101-abac09932780 · outbound

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

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Dense passage retrieval for open-domain question answering

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.089053Z digest=sha256:27a3fddcf7ddd8d8102a854ce43d86a67fb906e7eb1ebd6b374c067fa2e72714

Observation 60b6d0c5-2462-4443-b517-1bddfd38938f · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.093779Z digest=sha256:e2735cbab4db556805140a45189835ae5869a1653cd06998591a83d82abf9a15

Observation 839ce94c-ed5a-4ac0-870e-d623508c22f9 · outbound

This paper cites RACE : Large-scale R e A ding comprehension dataset from examinations.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models RACE : Large-scale R e A ding comprehension dataset from examinations

Reference 22

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no resolver link, observed 2026-08-12T10:15:25.098606Z

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source=arxiv_source observed=2026-08-12T10:15:25.098606Z digest=sha256:aae3d23c06beb971009a107497c2b223c6cd8e07fe91971ebcf18d57333474a7

Observation 732ab864-028b-4c9d-bb83-9e1cdc3e4dd7 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\

Reference 23

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source=arxiv_source observed=2026-08-12T10:15:25.102855Z digest=sha256:e9ceb8e03f84a8faa57700749c3981d804fc22bc98371b27f2ba30ac4b6a5f13

Observation 7cdea40f-d1ec-4eb2-964a-1a9c3abaa778 · outbound

This paper cites From quantity to quality: Boosting LLM performance with self-guided data selection for instruction tuning.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models From quantity to quality: Boosting LLM performance with self-guided data selection for instruction tuning

Reference 24

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source=arxiv_source observed=2026-08-12T10:15:25.106951Z digest=sha256:6e4b4cea4ded7b10c539cc95c6c8ae4d72bd850c3c4ebdb6a771acc9deccf4d6

Observation 7c7ddb0c-35bd-4484-95cd-c99ca7eb003f · outbound

This paper cites Compressing context to enhance inference efficiency of large language models, 2023.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Compressing context to enhance inference efficiency of large language models, 2023

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.111688Z digest=sha256:5faaa3d9b53071e49f0c256e6f6fa652f7ecb886d788363852b7897aa345a34e

Observation 684a8b58-ebc5-471b-8abe-c7c5d683a66b · outbound

This paper cites Query rewriting in retrieval-augmented large language models.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Query rewriting in retrieval-augmented large language models

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.115374Z digest=sha256:597d8387d28e0ac4a44057bf8ee52abb80065642e85a9b781a34fbc0f35ec42e

Observation 040b3daa-7e5d-4037-bf98-b8e0559ab9ae · outbound

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

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models When not to trust language models: Investigating effectiveness of parametric and non-parametric memories

Reference 27

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no resolver link, observed 2026-08-12T10:15:25.119073Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.119073Z digest=sha256:160d39919458e074e95dc96cc93361fc3231e5be4186f594a10aa2625a6ccaa2

Observation 5549d64f-a2ce-413c-863c-73c1ebf2fcc4 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 28

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no resolver link, observed 2026-08-12T10:15:25.123902Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.123902Z digest=sha256:e62c02cdd9b46218e57715ead3740b719f4c570dafb9ecc4c6f9eaf5d14cbb26

Observation 7ba98c2c-54a8-4333-a420-714716180323 · outbound

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

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy

Reference 29

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source=arxiv_source observed=2026-08-12T10:15:25.128152Z digest=sha256:8d604ba11a3e527dfe927bb320ab8fe54a9b5946273a11a28e443f2765fe59a9

Observation 085d8d66-d0f2-42fb-8088-8e561a181ff8 · outbound

This paper cites REPLUG : Retrieval-augmented black-box language models.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models REPLUG : Retrieval-augmented black-box language models

Reference 30

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source=arxiv_source observed=2026-08-12T10:15:25.132300Z digest=sha256:b8e34c0b1114281acc4a565b289e3258492f3a6752cc93061b407a98043c55bd

Observation 05372f0a-d92d-49fb-bff1-6e7f5bf48d00 · outbound

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

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

Reference 31

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source=arxiv_source observed=2026-08-12T10:15:25.136308Z digest=sha256:9fdbb308aeef8b780f11966dd01589c73bfea5250fa4e05d30046198af9c9dfc

Observation e7251e4e-61b9-4566-93c5-0d6f3a3552ba · outbound

This paper cites LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

Reference 32

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source=arxiv_source observed=2026-08-12T10:15:25.140087Z digest=sha256:179ce6a9b5b4fb62f6f0d75232113021115e1b79adb9ba43b2a16f0fade1d831

Observation 3a9ec9bc-7846-457a-b806-3b6d73b10342 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.144785Z digest=sha256:2e052ab5e314aeea0b99c8a6d469c5effe4594096c229df47a99e86b71b33d07

Observation 48e218da-98e5-4489-a367-bc59899fa019 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 34

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source=arxiv_source observed=2026-08-12T10:15:25.149304Z digest=sha256:0e3e1f8c6b72f0e0970132416027bd96c3d27fbdab6b2e0eb7e388acac5ece94

Observation ebf93c0e-40d4-4f21-8c77-5f1b5736d537 · outbound

This paper cites Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts

Reference 35

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source=arxiv_source observed=2026-08-12T10:15:25.153720Z digest=sha256:f34ec49a1f21cc28dbdf01e7beaa3f05a3dbdab428932fb1595a922b90ef6cb7

Observation bb4b3e7e-95ff-464d-aad6-16c3e8e177d1 · outbound

This paper cites RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Reference 36

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:15:25.158460Z digest=sha256:9b169dc773731424bf905b1f4a1b3efdc4b4d9583f0985c41dceec387d43e75e

Observation 1db2629f-8eda-4a7f-8dc7-16537f8f07d6 · outbound

This paper cites Activerag: Revealing the treasures of knowledge via active learning.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Activerag: Revealing the treasures of knowledge via active learning

Reference 37

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source=arxiv_source observed=2026-08-12T10:15:25.164906Z digest=sha256:490a78ad4c72a7a84e0f113373439d76545260cab99c14645407a5e1de72832c

Observation 75e030fd-c783-44c9-89be-014a0616cafc · outbound

This paper cites Corrective Retrieval Augmented Generation.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Corrective Retrieval Augmented Generation

Reference 38

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source=arxiv_source observed=2026-08-12T10:15:25.169966Z digest=sha256:7ea95a0a16082d6b7445e0125ec894a3b6412d7e6af72cd494d932aa61fa1a49

Observation dfd13345-c644-4b4b-83c4-a345ee3d5db0 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christopher D.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Cohen, Ruslan Salakhutdinov, and Christopher D

Reference 39

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no resolver link, observed 2026-08-12T10:15:25.174218Z

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source=arxiv_source observed=2026-08-12T10:15:25.174218Z digest=sha256:84537d2284a843573f2ef109bbc2d4603c17adbc7434c255cd83d9f5d22d50b6

Observation 0af2f833-3723-473f-a8d7-10a4116afd9f · outbound

This paper cites Making retrieval-augmented language models robust to irrelevant context, 2023.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Making retrieval-augmented language models robust to irrelevant context, 2023

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-12T10:15:25.763786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T10:15:25.178534Z digest=sha256:7ca77773d36bc1f86a7e40c7b309b3e43c865879c5408fe175f5c22046b289ce

Observation 6cddfdb2-026c-4301-9cab-17f15779da0b · outbound

This paper cites Truth-aware context selection: Mitigating hallucinations of large language models being misled by untruthful contexts.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Truth-aware context selection: Mitigating hallucinations of large language models being misled by untruthful contexts

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-12T10:15:25.750666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T10:15:25.182625Z digest=sha256:709495c1161562212dc0f5eb242a75bf1a06328d904e88187a18a7d5bd4753fe

Observation e09dd296-0d0a-4972-afd8-abc6c6f950fa · outbound

This paper cites Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 42

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source=arxiv_source observed=2026-08-12T10:15:25.186956Z digest=sha256:3d550adb66aafa8648f321d02f47f5ede831eee29af6f8c208a24892de857949

Observation 05797c66-beee-443b-8d9e-cff189dc3157 · outbound

This paper cites Swag: A large-scale adversarial dataset for grounded commonsense inference.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Swag: A large-scale adversarial dataset for grounded commonsense inference

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-12T10:15:25.736256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T10:15:25.190860Z digest=sha256:593d769a338eec29318df3b04b53812e23a06bb02bb2172655be403b7129d54f

Observation 6cc1b7e9-088b-45d0-96e5-b7d51d204403 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 44

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:15:25.195630Z digest=sha256:5811064fa8e607d99a9752c1eebcbf206101ba35f5581f6d21bb59e290892772

Observation e3d768db-e4cd-45e7-b3b6-35eba4cc285d · outbound

This paper cites write newline.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models write newline

Reference 45

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no resolver link, observed 2026-08-12T10:15:25.199800Z

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source=arxiv_source observed=2026-08-12T10:15:25.199800Z digest=sha256:ef8dbc3ce0787d12e31b322f49c7e841d205cf900d9eda410633be1ae12ffef0

Observation bf505a53-c611-475e-bde5-aba6b1b2cee1 · outbound

This paper cites @esa (Ref.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models @esa (Ref

Reference 46

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no resolver link, observed 2026-08-12T10:15:25.204129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.204129Z digest=sha256:bcf2221a58629749a4ee3eb9cdb59b7704eb363055d6664e170f3bc9cd1010d2

Observation f378142b-49cc-49ee-ae69-8bd0a5953539 · outbound

This paper cites an unresolved cited work.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-08-12T10:15:25.208726Z digest=sha256:37612cd66453f38fb41d66c3f78b4d5316877152e288ce9906785111af29699a

Observation c3ccc0d6-86cc-4b35-ae1d-701c7460f48c · outbound

This paper cites an unresolved cited work.

Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models Unresolved cited work

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:15:25.212963Z digest=sha256:96612b6f030c9c85949e26afffdc6630a632e0c4cfb67837de22a3ad15ae0c9a

Pith citing papers

Observation 36543f61-c3fe-4a32-b255-7af4264ad5c6 · inbound

AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation cites this paper.

AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 37

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no resolver link, observed 2026-08-10T19:27:46.404620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:46.404620Z digest=sha256:247a941f0bbe4aef4d23596f8cb5aecb0dbf97fc18cd5a3c92ecf7a272ca2fed

Observation aa5e0938-dd6c-45a8-a230-2f494a9270dc · inbound

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models cites this paper.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 47

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no resolver link, observed 2026-08-09T16:31:17.749238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.749238Z digest=sha256:8ab1146dab66c648c1d5b113b88efd53a1c645269c767e8dd6f7ad1d6716b618

Observation 6329e1c7-fbed-4eff-9aa8-367933f6fde6 · inbound

C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation cites this paper.

C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 2018

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no resolver link, observed 2026-08-08T16:28:28.698004Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T16:28:28.698004Z digest=sha256:1ebaba78649c8815e43a12061314f771104c88606897a5d133cc7dc8f3798ce7

Observation 5b61369a-0e70-48b1-8069-c780c709fe07 · inbound

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

Supervising the search process produces reliable and generalizable information-seeking agents Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:22:25.315394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T02:18:27.204122Z digest=sha256:450a76320f072085843325ce96d35281850f418610c0654c341c9610d2cbd2f8

Observation f5adb14e-ab6a-4d82-b54e-ed8110f1326d · inbound

TrustDataFilter:Leveraging Trusted Knowledge Base Data for More Effective Filtering of Unknown Information cites this paper.

TrustDataFilter:Leveraging Trusted Knowledge Base Data for More Effective Filtering of Unknown Information Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 22

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no resolver link, observed 2026-08-10T14:43:55.544280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:55.544280Z digest=sha256:d48736c3e24392cf1431f800af214c5e3fca8e83c9f8b10fd6bd2b4ffde0b485

Observation 4651fabf-8ee5-4258-aedf-df7e9f6c292f · inbound

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments cites this paper.

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 12

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verified exact
arxiv_id, observed 2026-05-16T19:58:58.991224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T19:58:58.948897Z digest=sha256:3e5e7e3d4d1c8216986691ed7b61c3bdc16467dc766028d85b07fa594c41bf2f

Observation 54c60755-d945-4646-99d2-0637f2e18e80 · inbound

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation cites this paper.

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 67

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no resolver link, observed 2026-08-15T22:27:09.712665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:09.712665Z digest=sha256:8f20fe3e0f81b1f87439c7fa3fd30d7e67ef0c4bc82d2ff3ce284c45b1a52915

Observation a81f6ffe-beb6-47af-8598-dd33e706b6e9 · inbound

Removal of Hallucination on Hallucination: Debate-Augmented RAG cites this paper.

Removal of Hallucination on Hallucination: Debate-Augmented RAG Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 37

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no resolver link, observed 2026-08-07T14:32:27.714110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:27.714110Z digest=sha256:f3bebf31342a8acfeaebbf9b02bbd22ddc23e5a61321bd08ff0a2ffe6d1209e3

Observation 70b28260-0a95-45aa-8d41-37babba72b18 · inbound

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering cites this paper.

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 39

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no resolver link, observed 2026-08-07T14:23:48.531803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:23:48.531803Z digest=sha256:2436ff1f4b0cd83568b075a60f6b08296205cf1b878d3405a317d75024c46297

Observation 6b1f6e5f-6e7c-41d4-9878-4f6eec524ae7 · inbound

EvolveSearch: An Iterative Self-Evolving Search Agent cites this paper.

EvolveSearch: An Iterative Self-Evolving Search Agent Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 40

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no resolver link, observed 2026-08-07T13:12:59.554462Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:12:59.554462Z digest=sha256:2d473ff0b1797d6fbd49ec23c3d25605b896c73e5b7be4c5535066bdab6e47bc

Observation 540297d9-3e53-4369-acc1-58fdeb1024a4 · inbound

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering cites this paper.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 33

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no resolver link, observed 2026-08-07T12:12:52.492006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:12:52.492006Z digest=sha256:c50108c48bdc27a5f1cbe2991aa2b8c0db99a5744f58e5782d515c887681565b

Observation a50814f5-06ac-4925-af17-71bad726d489 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 134

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no resolver link, observed 2026-08-06T23:26:57.002109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:57.002109Z digest=sha256:6cc10989a62e4216b0eecd58843af7cab6486005548010a40f42a0e2d2022ae3

Observation 3de75278-3f7d-44ac-8a5e-9cffb9abbfe5 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:20:22.288546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T21:20:22.146417Z digest=sha256:4db6915e52cb3169c9052f885c249990e1413acb77eb2772820edca3bffc8203

Observation 924f5862-210d-4215-b241-673c9de81809 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 48

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no resolver link, observed 2026-08-06T19:36:05.772906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:05.772906Z digest=sha256:2749e8718a5b2b4e677292418da89d7174bee9f3ae60da80b307a259a19867cf

Observation 4bc297b9-74a3-4b07-ad18-1b42e1e0f9b4 · inbound

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward cites this paper.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 55

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no resolver link, observed 2026-08-05T19:21:53.747429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:21:53.747429Z digest=sha256:dd306a22efec991085672705c034beac4bbcb44c09ff1207ba113e524f1ae13e

Observation 55570e4e-d987-4a9d-890f-b5f8c7a3f39c · inbound

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL cites this paper.

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 70

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no resolver link, observed 2026-08-05T23:57:36.480706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:57:36.480706Z digest=sha256:d2dbf76bc36799e975f5dbc4d59d90ca6d996d58a0c32fbebe3ad7522885cae8

Observation 0eaaa2b5-9a63-4cf2-9fe7-ed9e34270132 · inbound

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 81

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no resolver link, observed 2026-08-05T13:36:44.570778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:44.570778Z digest=sha256:26e5a454b0c857d0d1e1ebd9b32b93eed070d36786c06ecc5220051d9d29f116

Observation 3895b5a5-96b9-4486-b77f-7ae7afdaf0e7 · inbound

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering cites this paper.

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 53

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verified exact
arxiv_id, observed 2026-05-18T20:06:49.882660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T20:04:52.852253Z digest=sha256:b384a90914c982fa98f92ef7cf2c4887f9ce04bbc643df51979cff17fd3d2974

Observation cfe736b1-b071-447a-8457-0ea5dab37f2c · inbound

Subjective-Graph LLM Agents for Simulating Uncertainty in Classroom Social Perception cites this paper.

Subjective-Graph LLM Agents for Simulating Uncertainty in Classroom Social Perception Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 38

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no resolver link, observed 2026-07-13T21:18:07.586683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:18:07.586683Z digest=sha256:eac2cb096b4e4121a05efe31e0a6a4909d5835c382bc70489fadeb1942ccc8e2

Observation 087a0c56-3950-4f5f-9fed-a2a7f5ee1a91 · inbound

Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning cites this paper.

Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-15T00:53:24.709007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T00:52:14.809499Z digest=sha256:fc671ba76464604fd989ead28d7c6334da428e0019a949fdf4d50a1d7ee006ef

Observation 0929103d-0812-4d69-ae1b-779b54b08334 · inbound

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval cites this paper.

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T14:11:03.985810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T23:25:04.559002Z digest=sha256:da8290e416a2659b0d9a505ae41e80fa04bd82d643e5ff61f7f4577a1aa16a23

Observation 49b9e666-95bc-4104-8ef8-bb992c455111 · inbound

FLOWREADER: Min-Cost Flow Optimization for Multi-Modal Long Document Q&A cites this paper.

FLOWREADER: Min-Cost Flow Optimization for Multi-Modal Long Document Q&A Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

Reference 78

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verified exact
arxiv_id, observed 2026-07-02T20:17:21.493471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T20:47:31.149251Z digest=sha256:e277b4661ede2b216c282c82e89a90f895bac1b61492caba1fc50f1b5c6d0af5