Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:36:03.356888Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.13854.
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 2026-08-02T03:36:03.356888Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4b2925a7-5b1a-4941-9625-6dbccfd61d42 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 522348c1-bff6-443f-a74c-7ce4bd3cb50c · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Multimodal Chain-of-Thought Reasoning in Language Models
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14182f4d-e2a4-4255-8f9d-f482b6f5c3c0 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Ddcot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language models.Advances in Neural Information Processing Systems, 36: 5168–5191, 2023
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f5e0752-8b3e-46f7-aa8c-2404351e2a89 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Unresolved cited work
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0881aa9a-4249-46de-aed8-3c1b32aec5eb · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcd914d0-14ab-4d8c-b153-a3e5c238b593 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e9b79e7-9ccc-40df-9b4b-7dfe59155a83 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents ViperGPT: Visual Inference via Python Execution for Reasoning
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 507e273e-646d-4f4a-a988-cc322dcb61b8 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Llava-plus: Learning to use tools for creating multimodal agents
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47489981-3aee-4372-8f0e-7407fe3379c4 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c8f4c3e-7337-458a-94ad-2eec51b9f79f · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e715fc43-b212-409b-b912-8cff4e0a98a8 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use.CoRR, abs/2505.19255, 2025
Reference 11
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Unavailable: canonical work link unavailable.
Observation b38dd7e2-2843-4b1c-a295-3ad9ec74f383 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Thinking with programming vision: Towards a unified view for thinking with images.arXiv preprint arXiv:2512.03746, 2025
Reference 12
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Unavailable: canonical work link unavailable.
Observation 7d640adc-2bd2-4322-835c-1f8505c65335 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 13
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Unavailable: canonical work link unavailable.
Observation 49615960-ddee-45c5-8a08-5fe4f8df94e8 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48dd30da-0baa-4045-a145-50a1e88729e8 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b63697d7-6d9a-450a-b44f-e81f3ccfe7e9 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Expel: Llm agents are experiential learners
Reference 16
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Unavailable: canonical work link unavailable.
Observation 4165808b-2843-445b-91b9-d009252c6e25 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Dynamic cheatsheet: Test-time learning with adaptive memory
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ee7bba5-b674-45b5-9482-41c296ee34c2 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Memp: Exploring Agent Procedural Memory
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7608c57b-5ffa-4056-b88a-6bcfa38f8ee3 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Agent kb: Leveraging cross-domain experience for agentic problem solving.arXiv preprint arXiv:2507.06229, 2025
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2387f6d3-f8be-4343-b8a1-a6495ac4d498 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Instructblip: Towards general-purpose vision-language models with instruction tuning.Advances in neural information processing systems, 36:49250–49267, 2023
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2382d4da-00da-4dd9-b126-2e049a9f1c01 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023
Reference 21
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Unavailable: canonical work link unavailable.
Observation 706aecf5-74b5-4870-b270-574ef2eb54d7 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Qwen2.5-VL Technical Report
Reference 22
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Unavailable: canonical work link unavailable.
Observation 859c1e85-c79d-4530-841e-dc1c95e126b5 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents GPT-4V(ision) System Card
Reference 23
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Unavailable: canonical work link unavailable.
Observation c44c27a9-2900-4134-9a9d-0017be668d03 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Introducing OpenAI o3 and o4-mini, 2025
Reference 24
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Unavailable: canonical work link unavailable.
Observation 8a07dd2c-5e46-4e3c-a6a4-0da3de1841a4 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Generative agents: Interactive simulacra of human behavior
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23dc7971-2694-4e15-8ff0-2807d609843c · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Planning and acting in partially observable stochastic domains.Artificial intelligence, 101(1-2):99–134, 1998
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de01759e-1aec-4ab5-a021-a49a7cc38d66 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Back to basics: Revisiting reinforce-style optimization for learning from human feedback in llms
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6102b35-0eea-42e5-9a20-4fa10884e65a · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Tir-bench: A comprehensive benchmark for agentic thinking-with-images reasoning.arXiv preprint arXiv:2511.01833, 2025
Reference 28
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Unavailable: canonical work link unavailable.
Observation a473a47c-c172-4216-a09c-d50b94c12305 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InEuropean Conference on Computer Vision, pages 169–186
Reference 29
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Unavailable: canonical work link unavailable.
Observation 70cb2750-42be-4619-b04d-79f8f17167e9 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Measuring multimodal mathematical reasoning with math-vision dataset.Advances in Neural Information Processing Systems, 37:95095–95169, 2024
Reference 30
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Unavailable: canonical work link unavailable.
Observation e264f7eb-b7b9-4a6c-9cad-5f04b507f36a · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Unresolved cited work
Reference 31
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Unavailable: canonical work link unavailable.
Observation f8c0f3ce-0d6c-4147-8bee-f227489b5d49 · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Chartqapro: A more diverse and challenging benchmark for chart question answering
Reference 32
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Unavailable: canonical work link unavailable.
Observation 30517f5f-991c-43fa-85a7-ad9d5c2e2fcd · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents V*: Guided visual search as a core mechanism in multimodal llms
Reference 33
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Unavailable: canonical work link unavailable.
Observation 352a93be-d382-479f-9330-7063b731b13e · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models
Reference 34
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Unavailable: canonical work link unavailable.
Observation e045e36c-641e-479c-8108-2a08a3f9a12e · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents Qwen3-VL Technical Report
Reference 35
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Unavailable: canonical work link unavailable.
Observation 11289315-ae72-4ef3-a911-08befa22b31e · outbound
SPyCE: Skill-Policy Co-evolution for Multimodal Agents New Embedding Models and API Updates, 2024
Reference 36
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No inbound Pith citation observations are available.