HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization | Paper Citation Record

Observation 429cdd61-ce6e-469c-825c-91d871cbc705 · outbound

This paper cites The Claude 3 model family: Opus, Sonnet, Haiku.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization The Claude 3 model family: Opus, Sonnet, Haiku

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.442235Z

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Observation 65bfa0c8-7eae-44ae-8e42-3a24f8364cfa · outbound

This paper cites Have LLMs advanced enough? a challenging problem solving benchmark for large language models.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Have LLMs advanced enough? a challenging problem solving benchmark for large language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.414430Z

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Observation 6d363ec1-2be1-4c48-a16d-bafe64f1989a · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Self-rag: Learning to retrieve, generate, and critique through self-reflection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.389679Z

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Observation 4832af89-56a2-41c1-adfb-4a0c418b5a70 · outbound

This paper cites Emergent autonomous scientific research capabilities of large language models.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Emergent autonomous scientific research capabilities of large language models

Reference 4

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Observation 2bc20b07-287c-45d6-97c0-83ff71ea3fd7 · outbound

This paper cites A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 5

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Observation ceec604c-abc9-4473-8fac-a723904dca26 · outbound

This paper cites Language models are few-shot learners.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Language models are few-shot learners

Reference 6

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Observation e6f2c6d7-b107-4e58-93de-080695c6adf8 · outbound

This paper cites Pappas, Florian Tram `er, Hamed Hassani, and Eric Wong.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Pappas, Florian Tram `er, Hamed Hassani, and Eric Wong

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.349022Z

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Observation 5fa65233-1a69-499c-a245-08b2bfb7c32d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Evaluating Large Language Models Trained on Code

Reference 8

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Observation 8b629c5c-dd70-4cbb-a38b-494f17689f8b · outbound

This paper cites Clearwater, editor.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Clearwater, editor

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.316196Z

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

Observation 3441f5b2-6139-4057-9c8f-852df40b6d2a · outbound

This paper cites Training verifiers to solve math word problems.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Training verifiers to solve math word problems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.284520Z

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.

Observation b5bddb81-8129-44ea-b219-c84b0a53dc83 · outbound

This paper cites an unresolved cited work.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:55:02.247916Z

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Observation 18811fb4-b221-4183-b4a4-36848bb0512a · outbound

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

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:54.866858Z

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Observation d981b9f4-16f9-4572-aa81-6bf284310e37 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language un- derstanding.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Bert: Pre-training of deep bidirectional transformers for language un- derstanding

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.222535Z

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Observation 82ba3fd8-62c5-4120-a33d-f997ed199b6b · outbound

This paper cites Multi-agent systems: A survey.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Multi-agent systems: A survey

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.194226Z

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Observation 7af05f1b-a985-4fae-a413-7798142eca48 · outbound

This paper cites Agent-organized networks for dynamic team formation.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Agent-organized networks for dynamic team formation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.164773Z

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Observation 0bf56e94-9059-43c7-9bff-1e709cba62b9 · outbound

This paper cites Agent-organized networks for multi-agent production and exchange.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Agent-organized networks for multi-agent production and exchange

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.132536Z

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Observation aeb9f959-8c38-4edc-9b61-6afbd753fe83 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.163860Z

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Observation 0c1d3c71-be9f-4a01-8eeb-1f96cda8fb81 · outbound

This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.103478Z

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Observation cace651e-2853-4976-8471-e0f8a368e028 · outbound

This paper cites Gemini 1.5 flash-8b: Production- ready lightweight model.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Gemini 1.5 flash-8b: Production- ready lightweight model

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.072202Z

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Observation 950be27a-d6e8-4095-bb79-8324048bba1e · outbound

This paper cites Gemini 1.5 flash: Lightweight multimodal model.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Gemini 1.5 flash: Lightweight multimodal model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.041744Z

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Observation ca4f68a3-ad5c-432c-973e-7c0e6488c8b3 · outbound

This paper cites Gemini 2.0 flash: Model card, api, and announcement.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Gemini 2.0 flash: Model card, api, and announcement

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:02.014729Z

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

Observation e5729366-3ba7-479c-8581-4763572d57f3 · outbound

This paper cites Gemini 2.5 flash: Model card, api, and announcement.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Gemini 2.5 flash: Model card, api, and announcement

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:01.980196Z

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.

Observation 192c4c78-6701-4b90-8f86-16a246efd79c · outbound

This paper cites Groq: Fast ai inference, 2025.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Groq: Fast ai inference, 2025

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:01.929226Z

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.

Observation 74250ea2-482b-4dab-8535-98471f0a226d · outbound

This paper cites Measuring massive multi- task language understanding, 2021.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Measuring massive multi- task language understanding, 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.516172Z

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Observation 07e90e76-7b0c-4022-bb26-3c2fa95f9dbc · outbound

This paper cites A survey of multi-agent organizational paradigms.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization A survey of multi-agent organizational paradigms

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:01.815609Z

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

Observation 1edfbefb-cb16-4871-a98c-c8f0346b83c9 · outbound

This paper cites Hugging face: The ai community building the future,.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Hugging face: The ai community building the future,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:01.660342Z

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

Observation 96b02305-b8b7-49f7-9cae-aad0cca066e6 · outbound

This paper cites Mistral 7B.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Mistral 7B

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:01.257260Z

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

Observation 81e9135d-3bdf-468a-9ef4-ecbd9a1e8ac8 · outbound

This paper cites Agentreview: Exploring peer review dynamics with llm agents, 2024.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Agentreview: Exploring peer review dynamics with llm agents, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:01.104818Z

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

Observation 28f8dc0e-34c7-4287-a925-70467a692b12 · outbound

This paper cites Lambda: Gpu cloud and deep learning workstations,.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Lambda: Gpu cloud and deep learning workstations,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.892192Z

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.

Observation d3d3dd83-d721-41c5-a097-9d550d90f549 · outbound

This paper cites Langgraph: A framework for agentic workflows.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Langgraph: A framework for agentic workflows

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.816429Z

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.

Observation e73a260e-e1f8-4300-95e9-2d6b9feefbc6 · outbound

This paper cites an unresolved cited work.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Unresolved cited work

Reference 31

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T11:55:01.455311Z

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.

Observation 68ef695f-966d-451e-b25e-45e58aa8209c · outbound

This paper cites Self-evolving Agents with reflective and memory-augmented abilities.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Self-evolving Agents with reflective and memory-augmented abilities

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.003456Z

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Observation 662da8b4-d473-4ff3-94a3-990fe14749c9 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks, 2021.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Retrieval- augmented generation for knowledge-intensive nlp tasks, 2021

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:55.943591Z

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Observation 6d789a53-c9c9-43f8-987a-808d59be2957 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.085357Z

Source-reported events for the cited work

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Observation 56f198be-cf9d-43f0-b3ed-32f5ac9ece81 · outbound

This paper cites Qa-calibration of language model confidence scores.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Qa-calibration of language model confidence scores

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.625380Z

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.

Observation 5b6d101e-4104-468f-808e-a8305b0f9906 · outbound

This paper cites Guest editors’ introduction: Intelligent control in the manufacturing supply chain.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Guest editors’ introduction: Intelligent control in the manufacturing supply chain

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.425358Z

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.

Observation 8cbb7a6c-d7a3-41ad-87e3-0cacb0e1b553 · outbound

This paper cites Tdc 2023 (llm edition): The trojan detection challenge.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Tdc 2023 (llm edition): The trojan detection challenge

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.516540Z

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.

Observation fb0ec756-6721-4f74-88ec-c4032fce2eb3 · outbound

This paper cites The Llama 3 Herd of Models.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization The Llama 3 Herd of Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.271542Z

Source-reported events for the cited work

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Observation c42c0a1f-3eb6-4f22-a848-e9dfe97ea9ae · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization The llama 4 herd: The beginning of a new era of natively multimodal ai innovation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.373781Z

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.

Observation 89ea0edc-204e-4a7b-8eeb-a13793bf7cbe · outbound

This paper cites an unresolved cited work.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:55:00.225802Z

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

Observation a8834822-3432-4b05-b655-08697d102e9f · outbound

This paper cites Mistral saba.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Mistral saba

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.299819Z

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.

Observation 3af3b7c4-9bb0-49a3-b52b-2952748d096e · outbound

This paper cites Gpt-4 technical report, 2023.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Gpt-4 technical report, 2023

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.472807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6d5ca1-39d7-4a52-92e3-dcf115280168 · outbound

This paper cites Function calling.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Function calling

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.151154Z

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.

Observation a873d8c0-142c-4d93-b700-d65271662e0f · outbound

This paper cites Sudden high costs for chatgpt api usage, 2025.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Sudden high costs for chatgpt api usage, 2025

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.014275Z

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.

Observation 05634a6c-5a55-4958-a323-ac5b89de9933 · outbound

This paper cites Sos: Alarming situation of excessive billing, 2025.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Sos: Alarming situation of excessive billing, 2025

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:55:00.078129Z

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.

Observation 41e96a19-c6a5-4e10-b57d-ac04ceebde84 · outbound

This paper cites CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization CoDocBench: A Dataset for Code-Documentation Alignment in Software Maintenance

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:54:58.188917Z

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.

Observation 38570fd8-9856-43dd-94cf-5fc2596a2897 · outbound

This paper cites Training language models to follow instructions with human feedback.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Training language models to follow instructions with human feedback

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.628869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f8e3fa-fbcd-4335-b528-383a059d3ca9 · outbound

This paper cites O’Brien, Carrie J.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization O’Brien, Carrie J

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.860796Z

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.

Observation ae60fb08-2156-434a-96ce-c1babcdf45cf · outbound

This paper cites Talm: Tool augmented language models, 2022.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Talm: Tool augmented language models, 2022

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.934165Z

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.

Observation e79d2b93-3265-4a1a-80b7-b40fbb86e4ce · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Are NLP Models really able to Solve Simple Math Word Problems?

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.827578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f93ace6-2ef8-4af3-a917-b9789fb73269 · outbound

This paper cites Are NLP models really able to solve simple math word problems? In Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Are NLP models really able to solve simple math word problems? In Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.774562Z

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.

Observation 3fe49a13-6b63-4934-91ee-00791da85dfb · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization ChatDev: Communicative Agents for Software Development

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.911613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47d2cdfb-22fa-48a4-b0ea-a78504f8b2e0 · outbound

This paper cites Humanity’s last exam, 2025.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Humanity’s last exam, 2025

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.697837Z

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.

Observation ea836f7f-7877-4c9d-936b-7575950cd6c5 · outbound

This paper cites Qwen2.5 Technical Report.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Qwen2.5 Technical Report

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:56.990516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c2348f-83b0-42f3-a1e4-d411c07a613c · outbound

This paper cites Toolllm: Facilitating large language models to master 16000+ real-world APIs, 2023.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Toolllm: Facilitating large language models to master 16000+ real-world APIs, 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.601630Z

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.

Observation 09dc1058-a821-4c28-a397-3483e1ea782d · outbound

This paper cites 0.56 to $343.15 in minutes – google gemini api, 2025.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization 0.56 to $343.15 in minutes – google gemini api, 2025

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.514757Z

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.

Observation 7545503f-12bd-4fa6-963c-81e19eaf9f89 · outbound

This paper cites Explor- ing the limits of transfer learning with a unified text-to-text transformer.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Explor- ing the limits of transfer learning with a unified text-to-text transformer

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.021162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 528c45ba-1c88-488e-b948-81bea0376d92 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Reflexion: Language agents with verbal reinforcement learning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.155630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db902924-6055-4222-ad1b-bf74c0ca243c · outbound

This paper cites Russell and Peter Norvig.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Russell and Peter Norvig

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.424341Z

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.

Observation 3b788c2e-7345-4ba5-9535-a00bdc02dd74 · outbound

This paper cites Calibration and Correctness of Language Models for Code.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Calibration and Correctness of Language Models for Code

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.245537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ca597f-1d46-45d1-80e9-24ea62c1f2a9 · outbound

This paper cites Agent-oriented programming.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Agent-oriented programming

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.323778Z

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.

Observation 252d2d81-efcb-4c2a-935d-fc82a6a72da3 · outbound

This paper cites Hermes 3 Technical Report.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Hermes 3 Technical Report

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.304589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e9cfe2e-5cdf-45db-a69f-c1baf1d63a63 · outbound

This paper cites The probable error of a mean.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization The probable error of a mean

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.248804Z

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.

Observation 30f6dc59-e856-4670-8de9-5eab01aa3466 · outbound

This paper cites V oyager: An open-ended embodied agent with large language models, 2023.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization V oyager: An open-ended embodied agent with large language models, 2023

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.366114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4722db-e0e4-4db5-bb60-5fab394f7735 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Qwq-32b: Embracing the power of reinforcement learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.180415Z

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.

Observation 282001dc-a358-424a-941e-180541d726bf · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers, 2020.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers, 2020

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.432415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962d900d-48ba-47c3-89e8-465c539b6b95 · outbound

This paper cites A survey on large language model based autonomous agents, 2023.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization A survey on large language model based autonomous agents, 2023

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.402990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9b665ef-b474-4f6c-9935-95873af0170b · outbound

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

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Chain-of-thought prompting elicits reasoning in large language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.982795Z

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.

Observation 57004610-1a96-4f90-90ba-44bfcdc7abcc · outbound

This paper cites Decision-making driven by driver intelligence and environment reasoning for high-level autonomous vehi- cles: a survey.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Decision-making driven by driver intelligence and environment reasoning for high-level autonomous vehi- cles: a survey

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:59.063487Z

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.

Observation 67e64f24-aa9f-469b-8cf0-939bbc7d8767 · outbound

This paper cites An introduction to multiagent systems.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization An introduction to multiagent systems

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.609930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566a4183-0103-476f-90c1-55ee24aaf283 · outbound

This paper cites Benchmarking complex instruction- following with multiple constraints composition, 2024.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Benchmarking complex instruction- following with multiple constraints composition, 2024

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.909413Z

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.

Observation bb4a968d-7e42-4279-85c8-ee5878321e50 · outbound

This paper cites The rise and potential of large language model based agents: A survey, 2023.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization The rise and potential of large language model based agents: A survey, 2023

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.821225Z

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.

Observation 8eed917c-15d4-4b3b-a8f9-366c9d8d68c2 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.670837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16516ef4-d8e2-4875-a5bd-dd50f9148bd0 · outbound

This paper cites Tenenbaum, Tianmin Shu, and Chuang Gan.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Tenenbaum, Tianmin Shu, and Chuang Gan

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.722280Z

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.

Observation d498c5e7-7e47-465c-9285-1c1d38711286 · outbound

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

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization ReAct: Synergizing Reasoning and Acting in Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.747636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c67021c4-3dce-4b1a-8f4c-86ceb8146d31 · outbound

This paper cites Agents: An open-source framework for large language model based autonomous agents, 2023.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Agents: An open-source framework for large language model based autonomous agents, 2023

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.527950Z

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.

Observation 68257361-459a-436a-9e23-e4199ae3d441 · outbound

This paper cites Is llm a reliable reviewer? a comprehensive evaluation of llm on automatic paper reviewing tasks.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Is llm a reliable reviewer? a comprehensive evaluation of llm on automatic paper reviewing tasks

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.620519Z

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.

Observation 57fcb17b-0264-49e8-8f00-2295a88c2fc9 · outbound

This paper cites Zico Kolter, and Matt Fredrikson.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Zico Kolter, and Matt Fredrikson

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:54:58.413159Z

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.

Observation faf1fd6b-af74-42fe-b4de-fdc65e234910 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

HASHIRU: Hierarchical Agent System for Hybrid Intelligent Resource Utilization Fine-Tuning Language Models from Human Preferences

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T11:54:57.895503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers