SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation | Paper Citation Record

Observation 1f276d28-978a-4207-9688-5586445f9035 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Kimi K2.5: Visual Agentic Intelligence

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.026621Z

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Observation a4e18c86-8b86-4c20-8906-748997d661b4 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation GLM-5: from Vibe Coding to Agentic Engineering

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.045359Z

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Observation 9d951089-f54e-4c81-8e5b-5d88ea0bdf68 · outbound

This paper cites Qwen3.5: Towards native multimodal agents.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Qwen3.5: Towards native multimodal agents

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.236092Z

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Observation 858a03d5-f9fb-4ed2-833d-539d631d6039 · outbound

This paper cites Deepseek-v4: Towards highly eﬀicient million-token context intelligence.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Deepseek-v4: Towards highly eﬀicient million-token context intelligence

Reference 4

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Observation a0215577-edb3-4432-82ff-1c2c07ed3fa5 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:33.998974Z

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Observation 8842eaab-aa8d-4ba6-86b3-6b2462d06acf · outbound

This paper cites Beyond ten turns: Unlocking long-horizon agentic search with large-scale asynchronous rl.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Beyond ten turns: Unlocking long-horizon agentic search with large-scale asynchronous rl

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.008161Z

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Observation bb675221-b0dc-4f29-8055-32e0df4257d4 · outbound

This paper cites Redsearcher: A scalable and cost-efficient framework for long-horizon search agents.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Redsearcher: A scalable and cost-efficient framework for long-horizon search agents

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.005348Z

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Observation 85713063-02df-4dfb-875e-74b757299e3f · outbound

This paper cites Vision-deepresearch: Incentivizing deepresearch capability in multimodal large language models.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Vision-deepresearch: Incentivizing deepresearch capability in multimodal large language models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.001890Z

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Observation 9346582c-2d36-400b-9959-594ea3a0ddf7 · outbound

This paper cites Mmsearch-r1: Incentivizing lmms to search.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Mmsearch-r1: Incentivizing lmms to search

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.233867Z

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Observation b909c6a2-095b-4041-b61c-b3070a487c07 · outbound

This paper cites Vsearcher: Long-horizon multimodal search agent via reinforcement learning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Vsearcher: Long-horizon multimodal search agent via reinforcement learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.011048Z

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Observation 00229784-e072-4835-84bf-bdc6932d91d1 · outbound

This paper cites Deepdive: Advancing deep search agents with knowledge graphs and multi-turn rl.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Deepdive: Advancing deep search agents with knowledge graphs and multi-turn rl

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.021641Z

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Observation 91dbef26-4e16-492c-bd3c-6e358a711a05 · outbound

This paper cites WebThinker: Empowering Large Reasoning Models with Deep Research Capability.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.082862Z

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Observation ea057f10-487f-4748-9f39-9f8b91c56da3 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.077795Z

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Observation 3345aecb-54ba-4242-abe1-4cae1af7d09b · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.055848Z

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Observation d861d6bf-aafd-4d5c-99ba-aa76b3d09b5d · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Group-in-Group Policy Optimization for LLM Agent Training

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.063515Z

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Observation af644853-3649-4ca4-bc04-10b93becf6ea · outbound

This paper cites Agentic Reinforced Policy Optimization.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Agentic Reinforced Policy Optimization

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.080300Z

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Observation bbf2d8c4-49de-40aa-b063-d7879c29e2ba · outbound

This paper cites Process Reinforcement through Implicit Rewards.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Process Reinforcement through Implicit Rewards

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:33.993514Z

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Observation cdd532d7-d74b-432b-9740-00b8a059e6dd · outbound

This paper cites Search-o1: Agentic search-enhanced large reasoning models.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Search-o1: Agentic search-enhanced large reasoning models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.231917Z

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Observation 5c815e63-e237-4804-aacc-9c8374be728c · outbound

This paper cites Research: Learning to reason with search for llms via reinforcement learning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Research: Learning to reason with search for llms via reinforcement learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.243028Z

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Observation 7c282df7-e02c-403c-bbea-5721de79ddd4 · outbound

This paper cites WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.061221Z

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Observation ebf1f3e6-b28b-424f-8ac8-5d56adf39a03 · outbound

This paper cites A Study of Directional Entropy Arising from \(\mathbb{Z} \times \mathbb{Z}_+\) Semigroup Actions.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation A Study of Directional Entropy Arising from \(\mathbb{Z} \times \mathbb{Z}_+\) Semigroup Actions

Reference 22

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Observation 5b5d90c9-0162-40d5-a8e3-99e5dd6fdca7 · outbound

This paper cites Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.075413Z

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Observation a103aa02-aa84-4303-bbec-c16c7026b686 · outbound

This paper cites Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:33.985435Z

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Observation 2801ba3a-710a-423d-be64-5217fd1fcd71 · outbound

This paper cites Scaling agent learning via experience synthesis.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Scaling agent learning via experience synthesis

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.034795Z

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Observation e40a40d1-bfb6-473c-94df-daefeaf02258 · outbound

This paper cites Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.053460Z

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Observation 4d35346e-a992-4362-be11-ae2d13abbddd · outbound

This paper cites CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.050912Z

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Observation 3a245af3-fe9d-4d63-909e-5007aaa487cc · outbound

This paper cites Gym-Anything: Turn any Software into an Agent Environment.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Gym-Anything: Turn any Software into an Agent Environment

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.042978Z

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Observation a0bb4e55-fca1-42db-ac7d-badf15bd5f55 · outbound

This paper cites WebSailor-V2: Bridgingthechasmtoproprietaryagentsviasyntheticdataandscalable reinforcementlearning.arXivpreprint.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation WebSailor-V2: Bridgingthechasmtoproprietaryagentsviasyntheticdataandscalable reinforcementlearning.arXivpreprint

Reference 29

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Observation 5105af75-7e87-46d1-9b06-3f71130605b1 · outbound

This paper cites WebDancer: Towards Autonomous Information Seeking Agency.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation WebDancer: Towards Autonomous Information Seeking Agency

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.016144Z

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Observation 2e68dae6-574c-4530-b3bf-e67d41ed52f5 · outbound

This paper cites Hopchain: Multi-hop data synthesis for generalizable vision-language reasoning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Hopchain: Multi-hop data synthesis for generalizable vision-language reasoning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.018822Z

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Observation 96a03c2c-e83b-42d3-a203-d4d91aa89071 · outbound

This paper cites Searchgym: Bootstrapping real-world search agents via cost-effective and high-fidelity environment simulation.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Searchgym: Bootstrapping real-world search agents via cost-effective and high-fidelity environment simulation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.048279Z

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Observation baee2789-ba78-4473-a08f-56bc0073158f · outbound

This paper cites LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.037365Z

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Observation 73ac1ac0-0c0d-4eb0-9971-d9396f1e81a9 · outbound

This paper cites Agentic proposing: Enhancing large language model reasoning via compositional skill synthesis.arXiv preprint arXiv:2602.03279.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Agentic proposing: Enhancing large language model reasoning via compositional skill synthesis.arXiv preprint arXiv:2602.03279

Reference 34

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Observation 3ca1fa92-c498-4374-a88c-a3e38b757ceb · outbound

This paper cites arXiv preprint arXiv:2509.24726 , year=.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation arXiv preprint arXiv:2509.24726 , year=

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T20:05:33.996200Z

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Observation 1ba4c93b-1bdf-4193-ba0c-bec9e293b764 · outbound

This paper cites Soft Adaptive Policy Optimization.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Soft Adaptive Policy Optimization

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.024139Z

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Observation dc111968-6473-4f68-afd7-1dd1f2cbb8d6 · outbound

This paper cites At 2po: Agentic turn-based policy optimization via tree search.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation At 2po: Agentic turn-based policy optimization via tree search

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:33.988079Z

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Observation 45b23db0-861d-4f91-927a-7480c9db5c2f · outbound

This paper cites Exploring Reasoning Reward Model for Agents.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Exploring Reasoning Reward Model for Agents

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.029363Z

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Observation 2a9886c3-ffff-4975-a56b-0d34260df69c · outbound

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

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation ReAct: Synergizing Reasoning and Acting in Language Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.073064Z

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Observation 72a5b59f-b1ef-4f32-8268-515bba1c4efb · outbound

This paper cites Kepler: A unified model for knowledge embedding and pre-trained language representation.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Kepler: A unified model for knowledge embedding and pre-trained language representation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.205448Z

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Observation 6c89cbba-1ff0-4f1b-a6e5-31650c5c8fb3 · outbound

This paper cites Open-domain visual entity recognition: Towards recognizing millions of wikipedia entities.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Open-domain visual entity recognition: Towards recognizing millions of wikipedia entities

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.203529Z

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Observation d3797ae1-7b6d-47ab-9d6a-d6e3ac58b89d · outbound

This paper cites Simplevqa: Multi- modal factuality evaluation for multimodal large language models.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Simplevqa: Multi- modal factuality evaluation for multimodal large language models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.228128Z

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Observation e47e925f-d320-4635-a4be-c467978b9683 · outbound

This paper cites OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-08-04T02:30:26.426316Z

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Observation 4a7a719b-9123-4420-a26c-db6055a478bd · outbound

This paper cites Mmsearch: Bench- marking the potential of large models as multi-modal search engines.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Mmsearch: Bench- marking the potential of large models as multi-modal search engines

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.207501Z

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Observation 33cca1e5-ef26-492d-9514-f92932845cb9 · outbound

This paper cites Livevqa: A benchmark for real-time visual question answering.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Livevqa: A benchmark for real-time visual question answering

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:33.968669Z

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Observation a9384eab-a032-4bb4-b23e-17403081a165 · outbound

This paper cites Practical poisoning attacks against retrieval-augmented generation.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Practical poisoning attacks against retrieval-augmented generation

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T20:05:33.979533Z

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Observation 608cc07b-ab18-45ec-b495-acff02b0204c · outbound

This paper cites Fvqa: Fact-based visual question answering requiring multi-hop reasoning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Fvqa: Fact-based visual question answering requiring multi-hop reasoning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.209338Z

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Observation 5f133579-a0ec-4d9d-83c1-89cabd3e480b · outbound

This paper cites Gpt-4o system card.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Gpt-4o system card

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.211005Z

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Observation 4bc87db0-268d-4577-8c54-803b45777188 · outbound

This paper cites Gpt-5 system card.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Gpt-5 system card

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.224366Z

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Observation ae020f1f-e397-4735-907f-730c292bc8e8 · outbound

This paper cites Gemini 2.5 flash: A fast yet capable multimodal model.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Gemini 2.5 flash: A fast yet capable multimodal model

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.226144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6de6ef1-a44f-43c7-9072-433946c41f32 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:33.982277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e092dc21-a68a-4b62-a26b-caa5c877f775 · outbound

This paper cites Claude 4 sonnet system card.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Claude 4 sonnet system card

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.219766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b625306a-badb-4a0f-8d2e-264c1e407955 · outbound

This paper cites The claude model family: Claude 3.7 sonnet.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation The claude model family: Claude 3.7 sonnet

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.214746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0fa072b4-c8be-4a4d-837c-89c184d8a6c1 · outbound

This paper cites Qwen3-VL Technical Report.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Qwen3-VL Technical Report

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:33.973757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4d3b618-4d0c-4ff7-a8f7-bd4b957f7d95 · outbound

This paper cites Gemini 3.1 pro technical report.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Gemini 3.1 pro technical report

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.221399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9352cd54-1c92-48c0-a2c1-b93d65984437 · outbound

This paper cites Claude opus 4 system card.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Claude opus 4 system card

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.222869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d9456d5-99d9-4981-8ea5-9fc3ce9406ce · outbound

This paper cites GPML: Graph Processing for Machine Learning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation GPML: Graph Processing for Machine Learning

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:33.990873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 117a77f1-5897-48bd-b7c1-9b7442ca7793 · outbound

This paper cites SMTFL: Secure Model Training to Untrusted Participants in Federated Learning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation SMTFL: Secure Model Training to Untrusted Participants in Federated Learning

Reference 58

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T20:05:33.971190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f4ce062-33aa-4c45-b50d-4d572084719c · outbound

This paper cites Sensenova-mars: Empowering multimodal agentic reasoning and search via reinforcement learning.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Sensenova-mars: Empowering multimodal agentic reasoning and search via reinforcement learning

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-08T20:05:34.070743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac5d9db0-7b57-4e81-aeb6-641f77e43e13 · outbound

This paper cites Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-07-08T20:05:34.058861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4023b3e-ad35-4258-8415-43e1b1cc3906 · outbound

This paper cites OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T20:05:34.068166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0281fe63-958a-434b-a8f6-db4cf4109526 · outbound

This paper cites an unresolved cited work.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-07-08T20:05:34.216443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e93110a-481e-42b3-b722-8ac5f369e07c · outbound

This paper cites an unresolved cited work.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-07-08T20:05:34.218157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6fd8ad2-705b-4de6-979b-314cca447abd · outbound

This paper cites an unresolved cited work.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-07-08T20:05:34.212964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c1242dc-9825-4381-9e99-70c234a6dbc6 · outbound

This paper cites an unresolved cited work.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-07-08T20:05:34.248061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 571200fd-c20f-42e4-8339-79f01638f514 · outbound

This paper cites an unresolved cited work.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-07-08T20:05:34.245062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e72c3b3d-36d9-4c03-ad24-18a60f2d9e61 · outbound

This paper cites ") function-call format, (2) “Answer:.

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation ") function-call format, (2) “Answer:

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T20:05:34.229892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers