Addressing the sustainable AI trilemma: a case study on LLM agents and RAG | Paper Citation Record

Observation 6ed12767-4a90-43ab-9bb2-984b9e06106e · outbound

This paper cites The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.621361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca2290f3-1c42-46f5-9d3d-fb8f3af78052 · outbound

This paper cites Reducing the Carbon Impact of Generative AI Inference (today and in 2035).

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Reducing the Carbon Impact of Generative AI Inference (today and in 2035)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.625590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011a6cb6-1e65-4b12-8c33-fc1c3db98fe7 · outbound

This paper cites Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:34:34.630333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7edea65b-059d-4aed-854a-6736ceba052b · outbound

This paper cites Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.634269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19fe13b7-9433-4a43-ad10-0f637d91a288 · outbound

This paper cites Triple Bottom Line or Trilemma? Global Tradeoffs Between Prosperity, Inequality, and the Environment.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Triple Bottom Line or Trilemma? Global Tradeoffs Between Prosperity, Inequality, and the Environment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.420772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7ba5b097-9ce5-4921-8d0c-d1990246752e · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.641653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d19b36-4885-4d1e-8d3a-265de0012fac · outbound

This paper cites Chatgpt needs spade (sustainability, privacy, digital divide, and ethics) evaluation: A review.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Chatgpt needs spade (sustainability, privacy, digital divide, and ethics) evaluation: A review

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T20:34:35.012108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b6552209-cf6c-4d1f-b669-10733f97f800 · outbound

This paper cites LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.649220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ffc9da0-9f56-428b-90d5-6c519176bc0a · outbound

This paper cites The AI trilemma: Saving the planet without ruining our jobs.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The AI trilemma: Saving the planet without ruining our jobs

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:34:35.916770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e652d45e-13c3-4bdb-ae9a-38827231715e · outbound

This paper cites Challenging AI for Sustainability: what ought it mean?.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Challenging AI for Sustainability: what ought it mean?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.409621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d45719d6-90a4-4cda-8799-b20ea6ff6dac · outbound

This paper cites Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.658207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319e6b5c-7cf6-45fe-8cd6-cf64e0cbba4d · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Quantifying the Carbon Emissions of Machine Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.661206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a1a432f-07dc-46df-8e8c-3ee40ab29b97 · outbound

This paper cites Green Algorithms: Quantifying the Carbon Footprint of Computation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Green Algorithms: Quantifying the Carbon Footprint of Computation

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:34:34.665494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9059a6-b6dc-4c5b-b5a1-a8fb48a61534 · outbound

This paper cites Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:34:34.669228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e25e6ac-5d25-4451-beef-1c61fed7e9a6 · outbound

This paper cites Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.400061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed6c69bb-db38-46c4-91f5-aef296d3cb50 · outbound

This paper cites A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.680053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f459a632-c227-4b75-82e1-e2c6f1df7f15 · outbound

This paper cites Whose ChatGPT? Unveiling Real-World Educational Inequalities Introduced by Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Whose ChatGPT? Unveiling Real-World Educational Inequalities Introduced by Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.683556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 023a573b-e228-40d1-9881-d9e180609e6f · outbound

This paper cites Examining Potential Harms of Large Language Models (LLMs) in Africa.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Examining Potential Harms of Large Language Models (LLMs) in Africa

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.389269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7723032-aacd-4e16-96aa-d6d4b07ffa1b · outbound

This paper cites Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.690768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac4d683-4ae5-4fa2-b4a2-8aace6d0e93e · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Understanding the planning of LLM agents: A survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.694621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83724ea0-398c-42cc-9b48-da4dc9574b44 · outbound

This paper cites LLM With Tools: A Survey.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLM With Tools: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.698760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6693c21f-3d3a-41e2-a69e-eb024695a232 · outbound

This paper cites Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.702629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf861335-b5ec-4ecd-a815-82274d853c66 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.705882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6662d97c-a6f1-472d-97f4-e9dc6bb259ac · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.708982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7facd701-2489-4c38-bc75-a9fb2a5bad99 · outbound

This paper cites Sustainable LLM Serving: Environmental Implications, Challenges, and Opportunities : Invited Paper.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Sustainable LLM Serving: Environmental Implications, Challenges, and Opportunities : Invited Paper

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.711948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b754b13-5850-414c-87e2-584e39d26df4 · outbound

This paper cites From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.715419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02a7ef6e-46bd-4a94-8d3d-676a8578f343 · outbound

This paper cites Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.718781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58097b39-4cb8-4fad-b877-01bc82b3f42a · outbound

This paper cites Measuring and Improving the Energy Efficiency of Large Language Models Inference.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Measuring and Improving the Energy Efficiency of Large Language Models Inference

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.722856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d843b0-b7b6-439a-bc3c-b9f571a1fd68 · outbound

This paper cites Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.378378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0456b06f-189c-46b4-b374-77d67416a83e · outbound

This paper cites Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions

Reference 30

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:34:35.422218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0bb65b9f-7f94-4bbc-a86e-864d26aea200 · outbound

This paper cites Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.731016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bd1e971-b361-401e-a652-9668edd4b56d · outbound

This paper cites MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.743662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d21e547-7f70-4a2d-b510-e5bc727feb89 · outbound

This paper cites When Large Language Models Meet Vector Databases: A Survey.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG When Large Language Models Meet Vector Databases: A Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.739029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7666a8f5-53e2-464b-b289-10e44943297b · outbound

This paper cites SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG SCM: Enhancing Large Language Model with Self-Controlled Memory Framework

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.751475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61dc5bd5-5ba0-4629-92fe-8eed06bfc916 · outbound

This paper cites Memorybank: Enhancing large language models with long-term memory.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Memorybank: Enhancing large language models with long-term memory

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.368128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 144030b8-98f8-4c65-b395-d37026112271 · outbound

This paper cites Prompted LLMs as Chatbot Modules for Long Open-domain Conversation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Prompted LLMs as Chatbot Modules for Long Open-domain Conversation

Reference 36

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:34:34.758756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320c9611-6b5e-47fd-b126-bc3cd6dfc830 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG MemGPT: Towards LLMs as Operating Systems

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.755264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bd312a2-feee-4eef-ba08-5f14327aa27d · outbound

This paper cites RET-LLM: Towards a General Read-Write Memory for Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG RET-LLM: Towards a General Read-Write Memory for Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.765560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca3560a-e679-471a-8ea7-518c9d320d39 · outbound

This paper cites Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.761782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1abb8a49-e585-4b92-b3f6-c0fcbf5aae93 · outbound

This paper cites Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.774354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3bb5253-8cb5-43dc-967d-c12e688bc1d8 · outbound

This paper cites Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.770576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 082fb69d-73e2-4c2b-8659-1696d488a256 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.781911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bedb0e0-5f9d-405f-9ad4-a61bb8ec1396 · outbound

This paper cites Self-Knowledge Guided Retrieval Augmentation for Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Self-Knowledge Guided Retrieval Augmentation for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.778452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba769112-b3f6-46e7-b678-ceaf188c9c34 · outbound

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

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Measuring and Narrowing the Compositionality Gap in Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.789495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c69190a-ee1e-402b-9866-29e52385a654 · outbound

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

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.785884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ce1ad1-4d01-4704-a236-ef5f3a633b7e · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.797017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a797e29-9615-4bd1-abf8-c7775144eb7d · outbound

This paper cites LangChain MultiQueryRetriever Documentation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LangChain MultiQueryRetriever Documentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.359662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e79e50cd-217a-473a-be10-a98b5b15aa22 · outbound

This paper cites Query Rewriting in Retrieval-Augmented Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Query Rewriting in Retrieval-Augmented Large Language Models

Reference 48

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:34:36.336267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d1cdbbe-7828-4c5b-a10a-07393c406a86 · outbound

This paper cites Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.348395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf5b6e7c-4bff-4841-b016-059273b2b6d6 · outbound

This paper cites Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.805101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61786389-4bef-4217-8090-bac5691b7440 · outbound

This paper cites Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.823733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 451c9896-782a-493b-aa73-50c0fa544221 · outbound

This paper cites The probabilistic relevance framework: BM25 and beyond.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG The probabilistic relevance framework: BM25 and beyond

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.280227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64478475-c931-4f6d-b632-7855cc94dac4 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.268803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f54e5bd3-6127-450d-a00a-1b161aa3f809 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.833093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76faf528-d026-4ae7-987b-6ece6b6d6f36 · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.837898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e6d91e-2914-4031-8023-f361536eacb8 · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.826713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c11f225-a290-4277-b463-f69255be22ba · outbound

This paper cites Improving Passage Retrieval with Zero-Shot Question Generation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Improving Passage Retrieval with Zero-Shot Question Generation

Reference 57

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:34:34.829677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbf4ebb-ab44-46f3-b3d8-29ae793e77dd · outbound

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

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.850708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b512612a-43a3-4214-a307-fe42a9e6f753 · outbound

This paper cites Compressing Context to Enhance Inference Efficiency of Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.855472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32469f6b-cb2d-49f3-b768-e031bb9cdc87 · outbound

This paper cites Holistic Evaluation of Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Holistic Evaluation of Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.841850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff3d861-2558-44ac-9206-302d939099e4 · outbound

This paper cites PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.846138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25323492-7070-4291-afb8-c02f21d2a884 · outbound

This paper cites Evaluation of Retrieval-Augmented Generation: A Survey.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Evaluation of Retrieval-Augmented Generation: A Survey

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.866124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a88057-0b18-4d5d-b156-6ec7ef58d0e8 · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.871277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b42b6be-e6f7-43dc-bd46-68648dccc2f4 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.859209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3aa15e-7e27-4612-83b7-1de9e17b536b · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.862327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4b699e-d933-455c-8181-65b2a64d4aef · outbound

This paper cites Ai arxiv dataset.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Ai arxiv dataset

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.245221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a5c5566-5d98-4666-8e34-3afa3871f474 · outbound

This paper cites ARAGOG: Advanced RAG Output Grading.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG ARAGOG: Advanced RAG Output Grading

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.888336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5f26cf-0b79-4a0b-aec4-dd8ee0aeb915 · outbound

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

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.875760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93de9640-b27c-4604-aba5-39bf971a1139 · outbound

This paper cites MuSiQue: Multihop Questions via Single-hop Question Composition.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG MuSiQue: Multihop Questions via Single-hop Question Composition

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.257073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation adafa292-fbbf-410e-a5ab-baa49b8263eb · outbound

This paper cites Powercap Linux Kernel Interface.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Powercap Linux Kernel Interface

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.206539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9bc58800-eace-4097-966d-493b1f166f8b · outbound

This paper cites NVIDIA Management Library (NVML) Python Bindings.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG NVIDIA Management Library (NVML) Python Bindings

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.195638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 48fd9dea-a5d7-4681-b435-0cbdfd9672ed · outbound

This paper cites "UpTrain".

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG "UpTrain"

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.233310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1643050b-4d3f-457a-8ff5-2e881f1be727 · outbound

This paper cites ROUGE: A Package for Automatic Evaluation of Summaries.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG ROUGE: A Package for Automatic Evaluation of Summaries

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.218706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c752991-19c4-4520-8fc3-e6c19ac6ca6a · outbound

This paper cites LlamaIndex.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG LlamaIndex

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.184635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27ba384f-6a1a-4980-aa59-32e4d72d6d50 · outbound

This paper cites Searching for best practices in retrieval-augmented generation.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Searching for best practices in retrieval-augmented generation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:36.172375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae0e295f-dde8-4528-9278-a3c13c4bf4d4 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:34.820447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36daebe2-8f27-449a-814d-24b40e8aae63 · outbound

This paper cites Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud.

Addressing the sustainable AI trilemma: a case study on LLM agents and RAG Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:34:35.680096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers