Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T06:23:12.214888Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2606.04986.
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 2026-06-28T06:23:12.214888Z
One-hop event checks from named stored sources.
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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
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Multimedia Systems 29, 2049–2057 (2023)
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Computer Vision – ECCV 2014
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Journal of Biomedical and Health Informatics21, 588–598 (2017)
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models
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Observation 6d4b8b6a-a330-4a96-8444-3081d5c56ed2 · outbound
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Observation 4a0d632e-f794-4b5b-811b-72da59df6742 · outbound
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Observation 552fd296-d6fc-47a1-90ff-b374a4472d7b · outbound
Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Cambridge University Press (2008)
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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Observation f6cfce1c-c841-4baa-84cc-6cce2a570ebf · outbound
Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: MultiMedia Model- ing
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Observation 42b2c09a-c5d5-4e70-98bd-7aadeba3927e · outbound
Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Nutrients17(7), 1128 (2025)
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: Proceedings of the IEEE/CVF International Conference on Computer Vision
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning IEEE Trans
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning In: International Conference on Learning Representations (2025)
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Observation 13b74ffd-7623-44b1-bc20-ff0d9a94e7bf · outbound
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning 4) One quantity item, whose name may be generic
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Calorie Estimation Fig
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Observation d5faac2b-f021-4f8b-bc94-28c3d8405fe3 · outbound
Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning # reasoning Produce one block wrapped in <answer>...</answer>
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning # reasoning Answer strictly in the following format: <think> …</think><answer>The ingredient is <IngredientName>
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Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning Do not discuss the whole dish or other ingredients
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