Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T02:45:28.806859Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2607.28595.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T02:45:28.806859Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
88 of 88 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f56f4ce3-a20a-4f98-992f-401a0d643fc1 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Qwen3-VL Technical Report
Reference 1
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Observation 3ad2475c-6393-4ffc-b735-2c1a2b186bf1 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Qwen2.5-VL Technical Report
Reference 2
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Observation 52f1f3d1-c9a0-418c-9ea2-43d2dd02a6fd · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning BabyVision: Visual Reasoning Beyond Language
Reference 3
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Observation 47c4a280-2b81-4b6f-8587-5ab501711019 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Vlmevalkit: An open-source toolkit for evaluating large multi-modality models
Reference 4
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Observation 2c34196c-47d9-4041-96d8-3b9f04b581de · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Blink: Multimodal large language models can see but not perceive
Reference 5
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Observation 03889ca6-0fa5-41e9-94b9-85a991881575 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Gemini 3 flash.https://deepmind.google/models/ model-cards/gemini-3-flash/, 2025
Reference 6
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Observation 49c5fe79-91d0-413c-b79d-f1eb21506a92 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Gemini 3.1 Pro: Model Card.https://deepmind.google/ models/model-cards/gemini-3-1-pro/, 2026
Reference 7
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Observation 63ebea04-eff5-4754-93fe-408827e5e25a · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Do Multimodal Agents Really Benefit from Tool Use? A Systematic Study of Capability Gains
Reference 8
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Observation f5b2e615-6c47-4719-93ae-395fbfa041cd · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems
Reference 9
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Observation 88f26d40-cb8c-4c6d-acc5-0c71e6756db8 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Deep- eyesv2: Toward agentic multimodal model
Reference 10
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Observation 94874c9f-8a53-42e8-a242-eaf352d6884a · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Codev: Code with images for faithful visual reasoning via tool-aware policy optimization
Reference 11
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Observation bbcf8ea9-ad85-4c66-91cf-62c90d036a40 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search
Reference 12
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Observation 88b48036-eb45-4c7a-81b8-e4065a270d14 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Tir-bench: A comprehensive benchmark for agen- tic thinking-with-images reasoning.arXiv preprint arXiv:2511.01833, 2025
Reference 13
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Observation e158821a-eb11-4498-a520-58b1e8b14fbc · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Inter-gps: Interpretable geometry problem solving with formal language and symbolic reasoning
Reference 14
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Observation d449e6fb-18c7-40d8-8994-12bc5ee509f7 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Mathvista: Evaluating mathemati- cal reasoning of foundation models in visual contexts
Reference 15
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Observation c1b6ff31-51cf-4e57-937a-0faaf919a127 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning What does vision tool-use reinforcement learning really learn? disentangling tool-induced and intrinsic effects for crop-and-zoom
Reference 16
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Observation bd8e4216-d41f-46f8-9c28-7d228fb8c16b · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Chartqapro: A more diverse and challenging benchmark for chart question answering
Reference 17
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Observation 44f73572-76ad-4cac-a237-d43b714ec9a0 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models
Reference 18
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Observation c4e80e5c-8a3b-465d-b450-5aeeb78e4064 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Cogcom: A visual language model with chain-of- manipulations reasoning
Reference 19
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Observation 43799434-24a1-4069-b89a-4a6be6d0f474 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning V-thinker: Interactive thinking with images
Reference 20
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Observation 953cf440-a4c9-4ddf-982e-25a4f36da276 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Vero: An Open RL Recipe for General Visual Reasoning
Reference 21
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Observation adbe7472-8132-4f29-96a2-c3a856f99321 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Tarr, Aviral Kumar, and Katerina Fragkiadaki
Reference 22
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Observation 2fcb59dc-9646-4e74-9ae7-6760df43ed63 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 23
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Observation 2c6a8b91-b34b-4d55-bc16-fd31a665bf5d · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning HybridFlow: A Flexible and Efficient RLHF Framework
Reference 24
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Observation 527d3cd2-3576-4e45-902a-0f13174ab859 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Mavors: Multi-granularity video repre- sentation for multimodal large language model
Reference 25
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Observation 7b7134e3-50b5-4a0d-b17a-6870c7939b9b · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 26
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Observation 1a1bd232-68f8-4b03-a55a-33150744a8a7 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Codedance: A dynamic tool-integrated mllm for executable visual reason- ing.arXiv preprint arXiv:2512.17312, 2025
Reference 27
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Observation 6b89ba06-8336-4c64-8b10-f79a53b39f0d · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
Reference 28
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Observation a2211762-9c6f-4c68-a745-0747bf52ce8d · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Pixel reasoner: In- centivizing pixel space reasoning via curiosity-driven reinforcement learning
Reference 29
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Observation de4762bb-fa75-4014-a8dd-3c9342da3222 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
Reference 30
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Observation ba5d70e8-f92f-4510-8d44-0c8b79ffe84c · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Agentvista: Evaluating multimodal agents in ultra-challenging realistic visual scenarios.arXiv preprint arXiv:2602.23166, 2026
Reference 31
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Observation 0ef0366d-2e5c-4234-b987-a5d035300038 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Game-rl: Synthesizing multimodal verifiable game data to boost vlms’ general reasoning.arXiv preprint arXiv:2505.13886, 2025
Reference 32
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Observation 09e21fdd-2760-4efc-b433-5ebe9d85e668 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Cambrian-1: A fully open, vision-centric exploration of multimodal llms.NeurIPS, 2024
Reference 33
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Observation 389bd31a-a17d-470f-9d2b-8523ec521cf9 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning AdaTooler-V: Adaptive Tool-Use for Images and Videos
Reference 34
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Observation 40ac1b5b-ab6a-4a45-9b86-9aff181e1c2a · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Muirbench: A comprehensive benchmark for robust multi-image understanding
Reference 35
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Observation a67f7c40-d932-4b55-a677-e2d37e1f26df · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Measuring multimodal mathematical reasoning with math-vision dataset
Reference 36
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Observation 8fdb219b-c773-4c1c-a0a3-14b135fc928f · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Monet: Reasoning in latent visual space beyond images and language.arXiv preprint arXiv:2511.21395, 2025
Reference 37
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Observation 2f146334-1353-4426-8eab-29b9b2fffe81 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models
Reference 38
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Observation 1de094e6-1267-4e90-9c1d-53e7018a05b3 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning V*: Guided visual search as a core mechanism in multimodal llms
Reference 39
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Observation a04476fa-5229-489e-8479-8c7cae3830bb · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning RealWorldQA.https://huggingface.co/datasets/xai-org/ RealworldQA, 2024
Reference 40
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Observation e21fe376-6fce-48b1-ae9a-58a89fe1128a · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models
Reference 41
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Observation 4ea6e06d-a2ab-4349-9a6b-858e3a176dbf · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Position: Your VLM may not be thinking with interleaved images
Reference 42
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Observation 287dad20-df4c-4143-8bb4-4f189ae76de4 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Mmmu: A massive multi-discipline multi- modal understanding and reasoning benchmark for expert agi
Reference 43
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Observation f741e33d-8ee2-426a-9343-ec3333f347c6 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Thyme: Think beyond images
Reference 44
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Observation 6d2aae7e-0ea5-4e7b-be9a-2ae0bb25adaf · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Hrscene: How far are vlms from effective high-resolution image understanding? InICCV, 2025
Reference 45
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Observation cf2cda23-47e6-4e56-a544-3098b1644db9 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Pyvision-rl: Forging open agentic vision models via rl.arxiv preprint arxiv:2602.20739, 2026
Reference 46
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Observation c6c228fe-01d3-4654-97d2-df6d8e3e858f · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
Reference 47
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Observation 35e422da-b073-42c1-973c-dc239c450aad · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Chain-of-focus prompting: Leveraging sequential visual cues to prompt large autoregres- sive vision models
Reference 48
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Observation e5fb761e-292a-4ff6-8258-445359099750 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Vtc-bench: Evaluating agentic multi- modal models via compositional visual tool chaining.arXiv preprint arXiv:2603.15030, 2026
Reference 49
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Observation e283a379-a6d1-492f-8588-806fe4e60f67 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Retention
Reference 50
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Observation 8bb8e1ba-b7fc-445b-9999-b2e6d93d00c6 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 51
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Observation f97874b0-1497-4adb-804b-d85d924f96c2 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Original question images use stable ids like q0, q1, and images returned by earlier code calls use stable ids like g0, g1
Reference 52
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Observation e27d8c12-2499-4c76-b4cf-c7e7884f604d · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning For example: annotated = get_image("q0").copy()
Reference 53
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Observation cee45430-5898-4b3f-958c-d5e737bb7dbd · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning If the current call should return a numeric result, the last line should be the numeric object itself, such as result
Reference 54
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Observation 21cc2461-cffe-457e-a867-b715eea560b0 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Use Python code
Reference 55
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Observation 73930723-dec4-41b8-a427-c0242503e958 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning It is not something you should generate yourself
Reference 56
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Observation ef9e1152-14a7-48c9-a488-0d8411ff662c · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 57
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Observation b6a5a8e6-11ea-43b5-a58b-039cb925a8de · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning After that, you may continue with additional <tool_call> -> <tool_response> -> <observation> cycles
Reference 58
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Observation 7815045d-5fb0-4cb1-9d52-576387c63d44 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning q0").copy() draw = ImageDraw.Draw(annotated) draw.rectangle((600, 290, 660, 380), outline=
Reference 59
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Observation 58918079-77b7-49ed-ab0a-e69a77af3b4a · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Work in progress
Reference 60
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Observation 9795a361-567c-4b45-9b9e-15562723c015 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 61
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Observation 2140fda0-a99d-4439-8270-067d962d2f2b · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 62
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Observation f8aa26af-7a43-48e4-8967-fc9c68b677e7 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 63
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Observation dc8115cf-ab02-46f3-b588-6613b10fec7b · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 64
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Observation 01934e87-6841-4b7e-b782-b5d8748c1a3f · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Your task:
Reference 65
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Observation 721699a6-5bbe-4c31-be63-af49893c64fe · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning If the tools did not provide helpful information and the answer was effectively derived from tool-free reasoning, especially in the last step, discard the trajectory
Reference 66
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Observation 6481be4f-4d3b-44bd-929a-4bdf040447c7 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Remove the unhelpful repeated tool-call steps and keep only the step that produced the key useful information
Reference 67
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Observation 8e132085-1fd6-4639-9a8d-f4b0555c011c · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 68
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Observation 594813a7-0842-4cd8-a4c2-804ec02113fe · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning <tool_call>result = 1result</tool_call>
Reference 69
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Observation 2ada38ae-0135-49b7-af68-e6eb62708cb7 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 70
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Observation 23ff0178-155a-4c30-ab85-16d9eba831f2 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 71
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Observation 5701dac1-004c-480d-a7bd-253319c6baa1 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning If not, try to refine the <observation> to make it more accurate and specific to the actual tool response
Reference 72
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Observation ba34f0f3-8a81-4021-b255-30062c044d0d · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning decision
Reference 73
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Observation 4064dee0-ee66-47ed-b795-6d7fc8a69e53 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning decision
Reference 74
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Observation 11db76c3-a617-49ac-819a-608158d109c7 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning decision
Reference 75
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Observation 387665f0-ab5a-42e6-a3ab-fe82aba7959b · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning messages
Reference 76
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Observation 16458e43-b5c6-429a-a411-35af7f8ba609 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning kind":"original_message
Reference 77
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Observation b5dcd42d-12af-4582-a4db-31ec8f260ed6 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning If a tool- response step is kept, keep its <tool_response> in the corresponding original_message instead of rewriting it
Reference 78
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Observation 4e132a52-4ee8-45e3-8585-fb058a72411e · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 79
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Observation 1c756479-ba4d-4509-a6e2-f77f415d3881 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning You should decide whether to use code
Reference 80
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Observation 240dd7ca-3c59-4002-a424-8e8e5317b7e9 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Only write codes when necessary
Reference 81
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Observation 97dd0d38-a0d2-4bd4-98a0-77ee01622d77 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning hint"field as the training hint. The remaining fields,
Reference 82
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Observation 4886ad11-f260-487d-b221-8e0ac8861091 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 83
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Observation 715a1468-ea82-4820-abb6-38653cf7895b · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning q0") ... <tool call> from PIL import ImageDraw annotated = get image(
Reference 84
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Observation 0afa8493-ba4e-40b2-b8a4-7a72e6ce0d4a · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Original image refs: q0 Generated image refs: g0 </tool response> <observation> The resized image clearly shows the text "CVPR" in the center of the spiral pattern
Reference 85
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Observation 27baaa7b-5ede-46d3-93f1-6d18a5738f01 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 86
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Observation a1b47cb7-aeff-4312-8b3a-4fa4ddbf2325 · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work
Reference 87
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Observation 2c5fcaf0-3772-4c99-9512-25faf8bf9fab · outbound
Beacon: Knowing When and How to Perform Agentic Visual Reasoning What appears in the field with the question mark if we do the same with the number 5?
Reference 88
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No inbound Pith citation observations are available.