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Paper Citation Record · LEDGER

Beacon: Knowing When and How to Perform Agentic Visual Reasoning

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.

pith.paper-citation-record.v1
2607.28595 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T02:45:28.806859Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

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  • unresolved87
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  • malformed identifier1
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Outbound references

Observation f56f4ce3-a20a-4f98-992f-401a0d643fc1 · outbound

This paper cites Qwen3-VL Technical Report.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Qwen3-VL Technical Report

Reference 1

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source=pdf_text observed=2026-07-31T02:45:28.572906Z digest=sha256:2425f31475a0f0e9a60bfba0ce21254309483a13e7dc55ee3111c95237de32e8

Observation 3ad2475c-6393-4ffc-b735-2c1a2b186bf1 · outbound

This paper cites Qwen2.5-VL Technical Report.

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

This paper cites BabyVision: Visual Reasoning Beyond Language.

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

This paper cites Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.

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

This paper cites Blink: Multimodal large language models can see but not perceive.

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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source=pdf_text observed=2026-07-31T02:45:28.586821Z digest=sha256:a0d8492c1cddf7019ebc5d1a30c322540d883e4625580225bb9dcfbf9da3fbc9

Observation 03889ca6-0fa5-41e9-94b9-85a991881575 · outbound

This paper cites Gemini 3 flash.https://deepmind.google/models/ model-cards/gemini-3-flash/, 2025.

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

This paper cites Gemini 3.1 Pro: Model Card.https://deepmind.google/ models/model-cards/gemini-3-1-pro/, 2026.

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

This paper cites Do Multimodal Agents Really Benefit from Tool Use? A Systematic Study of Capability Gains.

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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source=pdf_text observed=2026-07-31T02:45:28.595072Z digest=sha256:cf66ce37a637e4734da0c3a4dc4a383fa2dd58b6b01f5fed58dc135d9c56c1ba

Observation f5b2e615-6c47-4719-93ae-395fbfa041cd · outbound

This paper cites Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems.

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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source=pdf_text observed=2026-07-31T02:45:28.597828Z digest=sha256:0445d7e2dd408d1861c7646520ae340cef374800fad35e91d6aa4a0686af6cfd

Observation 88f26d40-cb8c-4c6d-acc5-0c71e6756db8 · outbound

This paper cites Deep- eyesv2: Toward agentic multimodal model.

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

This paper cites Codev: Code with images for faithful visual reasoning via tool-aware policy optimization.

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

This paper cites Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search.

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

This paper cites Tir-bench: A comprehensive benchmark for agen- tic thinking-with-images reasoning.arXiv preprint arXiv:2511.01833, 2025.

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

This paper cites Inter-gps: Interpretable geometry problem solving with formal language and symbolic reasoning.

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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source=pdf_text observed=2026-07-31T02:45:28.610922Z digest=sha256:8e98704b6fee500b4f3dcd4c1129193217a82dfb66cef1816a2bcdbc1e0a6dd4

Observation d449e6fb-18c7-40d8-8994-12bc5ee509f7 · outbound

This paper cites Mathvista: Evaluating mathemati- cal reasoning of foundation models in visual contexts.

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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source=pdf_text observed=2026-07-31T02:45:28.613540Z digest=sha256:20418145365023b24a4dd5de93310b52dd7956fd8bfa4198e66df88af4602ca0

Observation c1b6ff31-51cf-4e57-937a-0faaf919a127 · outbound

This paper cites What does vision tool-use reinforcement learning really learn? disentangling tool-induced and intrinsic effects for crop-and-zoom.

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

This paper cites Chartqapro: A more diverse and challenging benchmark for chart question answering.

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

This paper cites Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models.

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

This paper cites Cogcom: A visual language model with chain-of- manipulations reasoning.

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

This paper cites V-thinker: Interactive thinking with images.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning V-thinker: Interactive thinking with images

Reference 20

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source=pdf_text observed=2026-07-31T02:45:28.626748Z digest=sha256:40752cf1e34627cb4c8e839b5e6f54aa863b00c9280dc2d0068823f516d7629f

Observation 953cf440-a4c9-4ddf-982e-25a4f36da276 · outbound

This paper cites Vero: An Open RL Recipe for General Visual Reasoning.

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

This paper cites Tarr, Aviral Kumar, and Katerina Fragkiadaki.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Tarr, Aviral Kumar, and Katerina Fragkiadaki

Reference 22

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source=pdf_text observed=2026-07-31T02:45:28.631786Z digest=sha256:e8e16615cb6979f8a312d95f4da4d8e05e2f7062730d1b0a09ae58d9a9d34ff5

Observation 2fcb59dc-9646-4e74-9ae7-6760df43ed63 · outbound

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

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

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

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

This paper cites Mavors: Multi-granularity video repre- sentation for multimodal large language model.

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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source=pdf_text observed=2026-07-31T02:45:28.639778Z digest=sha256:c8b7f572e17b54dcf5f1568f56205d4c1f0bd403ec182fac2a323ea78d2a1b6a

Observation 7b7134e3-50b5-4a0d-b17a-6870c7939b9b · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

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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source=pdf_text observed=2026-07-31T02:45:28.642281Z digest=sha256:6a983d0e9a52296c0998627ad2c2602a58fea5a3a958f1b717548f693929e19e

Observation 1a1bd232-68f8-4b03-a55a-33150744a8a7 · outbound

This paper cites Codedance: A dynamic tool-integrated mllm for executable visual reason- ing.arXiv preprint arXiv:2512.17312, 2025.

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

This paper cites VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge

Reference 28

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source=pdf_text observed=2026-07-31T02:45:28.647722Z digest=sha256:1471115e6f8eb3d96513ebcdf8b4d3c07189edb0dba4aeb28f59bc30708daee5

Observation a2211762-9c6f-4c68-a745-0747bf52ce8d · outbound

This paper cites Pixel reasoner: In- centivizing pixel space reasoning via curiosity-driven reinforcement learning.

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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source=pdf_text observed=2026-07-31T02:45:28.650544Z digest=sha256:ef1b3ac32f891ab0c69c3ddf82f09e7c0c81aba3a6390fa7ec5703907b78302d

Observation de4762bb-fa75-4014-a8dd-3c9342da3222 · outbound

This paper cites OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.

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

This paper cites Agentvista: Evaluating multimodal agents in ultra-challenging realistic visual scenarios.arXiv preprint arXiv:2602.23166, 2026.

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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source=pdf_text observed=2026-07-31T02:45:28.655849Z digest=sha256:b385a22cdb4d487b191e73f55de586f64f497cecaaa83ac4270c1171609ef5df

Observation 0ef0366d-2e5c-4234-b987-a5d035300038 · outbound

This paper cites Game-rl: Synthesizing multimodal verifiable game data to boost vlms’ general reasoning.arXiv preprint arXiv:2505.13886, 2025.

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

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.NeurIPS, 2024.

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

This paper cites AdaTooler-V: Adaptive Tool-Use for Images and Videos.

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

This paper cites Muirbench: A comprehensive benchmark for robust multi-image understanding.

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

This paper cites Measuring multimodal mathematical reasoning with math-vision dataset.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Measuring multimodal mathematical reasoning with math-vision dataset

Reference 36

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source=pdf_text observed=2026-07-31T02:45:28.669221Z digest=sha256:9db63238544400605e9a1aab929c14b602a400bcfb806eed7a61a5cf962d1282

Observation 8fdb219b-c773-4c1c-a0a3-14b135fc928f · outbound

This paper cites Monet: Reasoning in latent visual space beyond images and language.arXiv preprint arXiv:2511.21395, 2025.

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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source=pdf_text observed=2026-07-31T02:45:28.671771Z digest=sha256:ff53b5557cce5fdbf7bb92ed300847f7682f80ff735ca1e8bfce15e431334f90

Observation 2f146334-1353-4426-8eab-29b9b2fffe81 · outbound

This paper cites Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models.

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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source=pdf_text observed=2026-07-31T02:45:28.674232Z digest=sha256:72cec6ffe41dc81bd570454a5ea90ad775221509bf9cfc1de1d4bd8a753a68ea

Observation 1de094e6-1267-4e90-9c1d-53e7018a05b3 · outbound

This paper cites V*: Guided visual search as a core mechanism in multimodal llms.

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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source=pdf_text observed=2026-07-31T02:45:28.676776Z digest=sha256:01a0774cebbd5440cc449d2d6534c106dda2e773eb3621ba0bfbf6b656149839

Observation a04476fa-5229-489e-8479-8c7cae3830bb · outbound

This paper cites RealWorldQA.https://huggingface.co/datasets/xai-org/ RealworldQA, 2024.

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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source=pdf_text observed=2026-07-31T02:45:28.679355Z digest=sha256:b3d80f476aadff54131fd921372c4e8858ae2018db5bfd3effe50f3f5e2d1c67

Observation e21fe376-6fce-48b1-ae9a-58a89fe1128a · outbound

This paper cites Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models.

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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source=pdf_text observed=2026-07-31T02:45:28.681811Z digest=sha256:86f34568cfb3a777a5545e2a767da7ae20a5d57aebe217a0ffb318f96f4327dc

Observation 4ea6e06d-a2ab-4349-9a6b-858e3a176dbf · outbound

This paper cites Position: Your VLM may not be thinking with interleaved images.

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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source=pdf_text observed=2026-07-31T02:45:28.684618Z digest=sha256:603b1a637c441120317bbd59a0478ea31f9b40a37ce89293290b7697f7a59c8a

Observation 287dad20-df4c-4143-8bb4-4f189ae76de4 · outbound

This paper cites Mmmu: A massive multi-discipline multi- modal understanding and reasoning benchmark for expert agi.

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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source=pdf_text observed=2026-07-31T02:45:28.687874Z digest=sha256:5d223caa74339d5f9556c4cfe349261ea1a682877340b9a169d53e779e745d44

Observation f741e33d-8ee2-426a-9343-ec3333f347c6 · outbound

This paper cites Thyme: Think beyond images.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Thyme: Think beyond images

Reference 44

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source=pdf_text observed=2026-07-31T02:45:28.690467Z digest=sha256:6f23dfa6741b15c783412d0b21e007be14b4b6838a92221a396fe383adba3aaf

Observation 6d2aae7e-0ea5-4e7b-be9a-2ae0bb25adaf · outbound

This paper cites Hrscene: How far are vlms from effective high-resolution image understanding? InICCV, 2025.

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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source=pdf_text observed=2026-07-31T02:45:28.693046Z digest=sha256:34c271064dbb7285cf0bfdf95f89a99b91ef796b757756d604ad9fa3539d3b9f

Observation cf2cda23-47e6-4e56-a544-3098b1644db9 · outbound

This paper cites Pyvision-rl: Forging open agentic vision models via rl.arxiv preprint arxiv:2602.20739, 2026.

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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source=pdf_text observed=2026-07-31T02:45:28.695407Z digest=sha256:9bc75449eaa94591883af1f2aadfc8c01a73cfeefee99998c81b7c5807c3512f

Observation c6c228fe-01d3-4654-97d2-df6d8e3e858f · outbound

This paper cites SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

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source=pdf_text observed=2026-07-31T02:45:28.697827Z digest=sha256:b8a7cc95afdd8f394bf86ce54d59edb5e3ab60d1e50ace560cb449dc6f447e9b

Observation 35e422da-b073-42c1-973c-dc239c450aad · outbound

This paper cites Chain-of-focus prompting: Leveraging sequential visual cues to prompt large autoregres- sive vision models.

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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source=pdf_text observed=2026-07-31T02:45:28.700631Z digest=sha256:65c1a153597649b6b09abd5597408f6466b4506cce73b6b213121fd810b6032e

Observation e5fb761e-292a-4ff6-8258-445359099750 · outbound

This paper cites Vtc-bench: Evaluating agentic multi- modal models via compositional visual tool chaining.arXiv preprint arXiv:2603.15030, 2026.

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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source=pdf_text observed=2026-07-31T02:45:28.703141Z digest=sha256:91615231f3989f715defc261148d8c6472f69fc19fb1fe98391b70f75b01a24b

Observation e283a379-a6d1-492f-8588-806fe4e60f67 · outbound

This paper cites Retention.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Retention

Reference 50

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source=pdf_text observed=2026-07-31T02:45:28.706071Z digest=sha256:499037ec952a95fd078451204c1736c275cb2b9e3844ebfef3a20a6c41548319

Observation 8bb8e1ba-b7fc-445b-9999-b2e6d93d00c6 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 51

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source=pdf_text observed=2026-07-31T02:45:28.709130Z digest=sha256:659a070dbd729d126397fc35e5edfced254c780150965bdbe09ef7b3fcab88c7

Observation f97874b0-1497-4adb-804b-d85d924f96c2 · outbound

This paper cites Original question images use stable ids like q0, q1, and images returned by earlier code calls use stable ids like g0, g1.

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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source=pdf_text observed=2026-07-31T02:45:28.711746Z digest=sha256:f2de927ae058944e36c66f7ba69a375692917ccc173e9d022f42aa315e357431

Observation e27d8c12-2499-4c76-b4cf-c7e7884f604d · outbound

This paper cites For example: annotated = get_image("q0").copy().

Beacon: Knowing When and How to Perform Agentic Visual Reasoning For example: annotated = get_image("q0").copy()

Reference 53

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source=pdf_text observed=2026-07-31T02:45:28.714376Z digest=sha256:a622c04df6689ea103fd4aaeed6ea6d6945a30fdd18ba478dd8db2ecd31796eb

Observation cee45430-5898-4b3f-958c-d5e737bb7dbd · outbound

This paper cites If the current call should return a numeric result, the last line should be the numeric object itself, such as result.

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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source=pdf_text observed=2026-07-31T02:45:28.716990Z digest=sha256:937248db9610730327ab3613f5cd9efa1a71c1929f6393bf31aca9cc269c6585

Observation 21cc2461-cffe-457e-a867-b715eea560b0 · outbound

This paper cites Use Python code.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Use Python code

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T02:45:28.719651Z digest=sha256:a4b3a93de55646715c46a87f7bcde0f682f1c4156400f0c504db6399b9872594

Observation 73930723-dec4-41b8-a427-c0242503e958 · outbound

This paper cites It is not something you should generate yourself.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning It is not something you should generate yourself

Reference 56

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source=pdf_text observed=2026-07-31T02:45:28.722348Z digest=sha256:065bff456e4f5272373876162b51f371a12b9bafd75a3a47cae5287321b86914

Observation ef9e1152-14a7-48c9-a488-0d8411ff662c · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 57

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source=pdf_text observed=2026-07-31T02:45:28.724852Z digest=sha256:0fdb0b0762ec8c5d2dd8f3ae1b717ba8f0c4024f83481659e481db3245ab2d91

Observation b6a5a8e6-11ea-43b5-a58b-039cb925a8de · outbound

This paper cites After that, you may continue with additional <tool_call> -> <tool_response> -> <observation> cycles.

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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source=pdf_text observed=2026-07-31T02:45:28.727297Z digest=sha256:c91124f8c0ffbf3141bbd314bdbd71cebeae9f256a706b0a36c69201aa870b4f

Observation 7815045d-5fb0-4cb1-9d52-576387c63d44 · outbound

This paper cites q0").copy() draw = ImageDraw.Draw(annotated) draw.rectangle((600, 290, 660, 380), outline=.

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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source=pdf_text observed=2026-07-31T02:45:28.729967Z digest=sha256:bdaa34673eb5234f262cfcca387d41fa38eade4cff11a463ae2927ae91d2123d

Observation 58918079-77b7-49ed-ab0a-e69a77af3b4a · outbound

This paper cites Work in progress.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Work in progress

Reference 60

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source=pdf_text observed=2026-07-31T02:45:28.732686Z digest=sha256:34aed7914fd2dcfba4e49b0cd8efdce828e137d8f5220f5c8126ce006619f9c4

Observation 9795a361-567c-4b45-9b9e-15562723c015 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 61

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source=pdf_text observed=2026-07-31T02:45:28.735233Z digest=sha256:f70ce706043d4a31e8993d3fdf2600a0ce0d367cd40df25415abf11df71d75a2

Observation 2140fda0-a99d-4439-8270-067d962d2f2b · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 62

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source=pdf_text observed=2026-07-31T02:45:28.737951Z digest=sha256:9a8f61d0482323ee14081b9056618bc16bb207b41e392d3a179b50e3ed14aab4

Observation f8aa26af-7a43-48e4-8967-fc9c68b677e7 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 63

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source=pdf_text observed=2026-07-31T02:45:28.740437Z digest=sha256:6c02dfd4e482d08cc1d78e0da4d1386b8ce9f511b46da194b667bef95586e203

Observation dc8115cf-ab02-46f3-b588-6613b10fec7b · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 64

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source=pdf_text observed=2026-07-31T02:45:28.742918Z digest=sha256:67c21492bd71318bc346901ed88c3bedff343c280fa41d88211095a48653cc28

Observation 01934e87-6841-4b7e-b782-b5d8748c1a3f · outbound

This paper cites Your task:.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Your task:

Reference 65

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source=pdf_text observed=2026-07-31T02:45:28.745498Z digest=sha256:65894e0ee026cc1280ea264a7c54b4516d5eaa70e640e10c854a27601ef81dcb

Observation 721699a6-5bbe-4c31-be63-af49893c64fe · outbound

This paper cites 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.

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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source=pdf_text observed=2026-07-31T02:45:28.748223Z digest=sha256:d1dc79ac00e629250fbe375331154b9b4dbd8667483872055b5ff867dfc8c98e

Observation 6481be4f-4d3b-44bd-929a-4bdf040447c7 · outbound

This paper cites Remove the unhelpful repeated tool-call steps and keep only the step that produced the key useful information.

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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source=pdf_text observed=2026-07-31T02:45:28.751038Z digest=sha256:fb436958ce1ac7f3e967b129a4e33fe98efced5a531fad499b2b6e52b22f7b21

Observation 8e132085-1fd6-4639-9a8d-f4b0555c011c · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 68

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source=pdf_text observed=2026-07-31T02:45:28.753539Z digest=sha256:323431f36d9585389fef5566da2b85fc2a24f273953043f16b22255a9d636605

Observation 594813a7-0842-4cd8-a4c2-804ec02113fe · outbound

This paper cites <tool_call>result = 1result</tool_call>.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning <tool_call>result = 1result</tool_call>

Reference 69

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source=pdf_text observed=2026-07-31T02:45:28.756021Z digest=sha256:387c60214a85453ea8232b778612e9789cafa4027ed502975d35774e69481d74

Observation 2ada38ae-0135-49b7-af68-e6eb62708cb7 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 70

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source=pdf_text observed=2026-07-31T02:45:28.758925Z digest=sha256:3a151741b2ca53fca85276282cf457d955c10d114a36bb49e48b087c479b5758

Observation 23ff0178-155a-4c30-ab85-16d9eba831f2 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 71

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source=pdf_text observed=2026-07-31T02:45:28.761488Z digest=sha256:94c0bf15de5506cb116c027f4fbe3baed323b40445e178ee60904029cd071f58

Observation 5701dac1-004c-480d-a7bd-253319c6baa1 · outbound

This paper cites If not, try to refine the <observation> to make it more accurate and specific to the actual tool response.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T02:45:28.764216Z digest=sha256:9d50360c917a29d046c4036cf42363055ceb14daa0aea36bb1ce6f5820b235f3

Observation ba34f0f3-8a81-4021-b255-30062c044d0d · outbound

This paper cites decision.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning decision

Reference 73

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source=pdf_text observed=2026-07-31T02:45:28.766799Z digest=sha256:5b901a1092d0db6278ce5598bebcfb74837ae4b19b1e43c6e1d88c0429c132a0

Observation 4064dee0-ee66-47ed-b795-6d7fc8a69e53 · outbound

This paper cites decision.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning decision

Reference 74

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source=pdf_text observed=2026-07-31T02:45:28.769462Z digest=sha256:692ef9b4193ed3b41b6f72b3d098a94a3c64052ddf68fe9d1ac67fd49dbff069

Observation 11db76c3-a617-49ac-819a-608158d109c7 · outbound

This paper cites decision.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning decision

Reference 75

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source=pdf_text observed=2026-07-31T02:45:28.772299Z digest=sha256:5ae5a733474ee506d62a208540dea7f17c2a4c708f8e328979ae6199d81cb17b

Observation 387665f0-ab5a-42e6-a3ab-fe82aba7959b · outbound

This paper cites messages.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning messages

Reference 76

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.774898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.774898Z digest=sha256:99a2148ee07a348826db0292be80936d6b7714dffab2118a8285d60e22656a3c

Observation 16458e43-b5c6-429a-a411-35af7f8ba609 · outbound

This paper cites kind":"original_message.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning kind":"original_message

Reference 77

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.777672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.777672Z digest=sha256:6855d73aadd27140213b79d96eaf449934a1261fec7c2ca3f7ff730ad37b86a3

Observation b5dcd42d-12af-4582-a4db-31ec8f260ed6 · outbound

This paper cites If a tool- response step is kept, keep its <tool_response> in the corresponding original_message instead of rewriting it.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.780502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.780502Z digest=sha256:063cad8acbce5a241c994425c7983e0937b5c5efbf1ebf00a5bd1b6bc2065409

Observation 4e132a52-4ee8-45e3-8585-fb058a72411e · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 79

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.783235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.783235Z digest=sha256:2f2fcf0a3513a152f7fa17fb9b2248cd0efcbfcf837903305aeddcd6a9fc7996

Observation 1c756479-ba4d-4509-a6e2-f77f415d3881 · outbound

This paper cites You should decide whether to use code.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning You should decide whether to use code

Reference 80

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.785718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.785718Z digest=sha256:5d2a48814298a0b94dced1a821950beb098fa028d3a88b886a2b741a9400f46d

Observation 240dd7ca-3c59-4002-a424-8e8e5317b7e9 · outbound

This paper cites Only write codes when necessary.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Only write codes when necessary

Reference 81

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.788386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.788386Z digest=sha256:a1ae0beaaeeea3d38a8aed5f2ae439a7f5dc7457ea5da9c246d764185922a40b

Observation 97dd0d38-a0d2-4bd4-98a0-77ee01622d77 · outbound

This paper cites hint"field as the training hint. The remaining fields,.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning hint"field as the training hint. The remaining fields,

Reference 82

Resolution
malformed identifier
no resolver link, observed 2026-07-31T02:45:28.790836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.790836Z digest=sha256:d84b043e997c27adb268c5063b0e5d1b118ff4de5ebbee379bec998114296877

Observation 4886ad11-f260-487d-b221-8e0ac8861091 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 83

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.793791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.793791Z digest=sha256:b44840f4117e813d3e8f68410652f0ab446d54086fc6a15a4a4bb5a40aa7d871

Observation 715a1468-ea82-4820-abb6-38653cf7895b · outbound

This paper cites q0") ... <tool call> from PIL import ImageDraw annotated = get image(.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning q0") ... <tool call> from PIL import ImageDraw annotated = get image(

Reference 84

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.796309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.796309Z digest=sha256:40b0cc04d7c95dc4d7f93fabb18bc0b54e55d0ffd30a0930f0997b381e023239

Observation 0afa8493-ba4e-40b2-b8a4-7a72e6ce0d4a · outbound

This paper cites 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.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.798852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.798852Z digest=sha256:0ab6890d9d79b1a9d876f0228908092e0b8bdc18b951379bd946697919090fc9

Observation 27baaa7b-5ede-46d3-93f1-6d18a5738f01 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 86

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.801757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.801757Z digest=sha256:f29954d10f1be38a4b8bfb5742449ec1bb782f4be885b36e99ee266733faab5f

Observation a1b47cb7-aeff-4312-8b3a-4fa4ddbf2325 · outbound

This paper cites an unresolved cited work.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Unresolved cited work

Reference 87

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.804274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.804274Z digest=sha256:9e53a76c0b2b1e7dc34411170173b1e02e6d68e4d688dad9b296927cf354657b

Observation 2c5fcaf0-3772-4c99-9512-25faf8bf9fab · outbound

This paper cites What appears in the field with the question mark if we do the same with the number 5?.

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

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.806859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.806859Z digest=sha256:1b282baf12cfc62dd1fd0ff5da05053333ded4d67c63eeeb0fa944d9ab7f1474

Pith citing papers

No inbound Pith citation observations are available.