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Paper Citation Record · LEDGER

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds

As of 5 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2604.21405.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.21405 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T18:39:55.906516Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation ddbc68a0-ead8-4ce2-9778-d046019f1f76 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:bacad7d3ff39ad2b6cecb82f31ae949c8a51c2b94dc67b4800419a924252a51c

Observation 88ffd9e0-72b9-4656-b5cb-8175ca115f58 · outbound

This paper cites Intern-s1: A scientific multimodal foundation model.arXiv preprint arXiv:2508.15763, 2025a.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Intern-s1: A scientific multimodal foundation model.arXiv preprint arXiv:2508.15763, 2025a

Reference 2

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:cb9b00cb913a4119ac08bfe25ce8e67b1440af26947e2dd0122d597d774f61c7

Observation bb58a0c9-11c0-48a4-b71d-94a672c9353b · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 3

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:5858ade5d4804a9c5146129bd2acaa694330dfb485abe3d840f930ad41e3366f

Observation 05fe2f3b-cc42-4bef-84a0-48b6e3358cd5 · outbound

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

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 4

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no resolver link, observed 2026-07-12T18:39:55.906516Z

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:c633368d2d4236964ce7dfc1d2e714021db85c1080f82e67a8cae87e752f6a82

Observation 44e9f567-d733-4b3f-868b-7c556f24a652 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 5

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:c96fe749818d9b7f7a62264ff55a3372bfc53436b57c8753458ea25efdada443

Observation dea30515-af50-4fea-acf7-07e33c55091c · outbound

This paper cites Physics: Benchmarking foundation models on university-level physics problem solving.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Physics: Benchmarking foundation models on university-level physics problem solving

Reference 6

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:d39d9da72608b508e950188458ae18459eb35cf9b07bc0c147ebe816b4e801f4

Observation 721dda97-b63f-4d5e-8137-2a232f2e8b72 · outbound

This paper cites Soft Adaptive Policy Optimization.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Soft Adaptive Policy Optimization

Reference 7

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:5fac5e168443703797ad41fd4e3a6aeea7cda8795adae4d7fa69587521180c43

Observation 623ab832-8111-4961-ad04-f19df9b56bb7 · outbound

This paper cites 19 Tiechuan Hu, Wenbo Zhu, and Yuqi Yan.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds 19 Tiechuan Hu, Wenbo Zhu, and Yuqi Yan

Reference 8

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no resolver link, observed 2026-07-12T18:39:55.906516Z

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:7488ab217fdfd45e73890f03d7bd378d3c9b69d0f2ec79a7c8dbcae670429479

Observation 5f92f5c8-dcee-4d50-ab16-215528926af3 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 9

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:586960abc8d7492e5f7cec0fdadea409513bcce87799279fc2121a1c2a84901c

Observation dd30d3a7-b8fa-48d7-a4c5-4859b3c4b05f · outbound

This paper cites Visual Agentic Reinforcement Fine-Tuning.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Visual Agentic Reinforcement Fine-Tuning

Reference 10

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no resolver link, observed 2026-07-12T18:39:55.906516Z

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:fcca96658d6cc227d0f8e04b3c4874eec077c60542cfb8e0a244d5b83d9c7ab5

Observation 46967d28-b59e-4b27-b434-927e7eafb990 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 11

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:7ab79ba9ed31d5f72488bf0f38a46c36021c6f7a32ba354a8730c89d98e3be84

Observation 71bf1991-f2e9-4fe4-a8d2-818a29b30d61 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 12

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no resolver link, observed 2026-07-12T18:39:55.906516Z

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:7941676a5fed453c30a309a1a967ce7ca1895e5e4d6e858b6de44d06ddf2d973

Observation e4e9800c-e5b8-4a66-8373-ea859d24cc4e · outbound

This paper cites Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 13

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:3df5c1792364acf46458cbea154dc9e81a3fbd547e8daf56e6d87b8410297713

Observation a31f3d36-b670-4074-b7d8-c276015f91c4 · outbound

This paper cites V-thinker: Interactive thinking with images.arXiv preprint arXiv:2511.04460,.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds V-thinker: Interactive thinking with images.arXiv preprint arXiv:2511.04460,

Reference 14

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no resolver link, observed 2026-07-12T18:39:55.906516Z

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:3e86049c8ff943492dac6bdc2c9b5070db6f6bc697f7608e705696f65e98031c

Observation b37eda19-a225-4d67-8586-a33bee3a177f · outbound

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

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 15

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no resolver link, observed 2026-07-12T18:39:55.906516Z

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:02f8a369ac3e89c3cbc0ccddeae89683bfe84bf0c4da99a0786f156042f372e4

Observation 5a881acd-3c13-40af-9012-d6b7b35a6453 · outbound

This paper cites Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers

Reference 16

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:d5ffa01a84876637dfd6e0909c2ff33f2c0d00cbfcb8292c66eded3784e37f2a

Observation 5732caec-7082-49b8-8d0f-0806da40046e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Gemini: A Family of Highly Capable Multimodal Models

Reference 17

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:d56261157199614bf35909251d22498501e8b22e2aac0eea7a07bfdde8967364

Observation 587f851c-727f-4d67-b961-4fcd22577b0e · outbound

This paper cites UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Reference 18

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:34b973f6aecd645ecb0222c162d8783082059cb5278b75ce0fcbd934fbc5184f

Observation eeb371b6-21d5-4639-8c74-d516c3c167f8 · outbound

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

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Divide, conquer and combine: A training-free framework for high-resolution image perception in multimodal large language models

Reference 19

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:23c08a52bd18dc62d36a532a42240bb560e250346096c1f46218a42b29cb907f

Observation b516e72f-d0c8-42b4-8b80-910ca1c3cc6a · outbound

This paper cites Qwen3 Technical Report.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Qwen3 Technical Report

Reference 20

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:f400b0ebe9af5b49edf7010f946c8a8787269b56b528380f260992dfdbe0368f

Observation 07a8c215-53b6-406e-8981-83529e42c730 · outbound

This paper cites MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Reference 21

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:24840d4f82b68ff6731685a0db73b6986b79813eadbf98ff369810a3419aabb8

Observation ae60837b-110a-44cd-a2d3-17058a82b116 · outbound

This paper cites Thyme: Think Beyond Images.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds Thyme: Think Beyond Images

Reference 22

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:c7c64c2b33d472bd3fadb7208ff8bd96e1051eb65aa764e17e859330ee7ce9c8

Observation fe75f470-079e-4947-8b25-ec310d85e96d · outbound

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

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 23

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:e6f6bf9a3eb9b7d8d80f1e08c518958cae36c36a712df9abb7d8769cdfb53a04

Observation 82fdd72c-7511-45b6-a55d-02ab5ed72531 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 24

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source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:d1e8a7f906f30bb159e8205ef1a62fda2b4f691a13c859c05e5ac98a56e4ae3d

Pith citing papers

No inbound Pith citation observations are available.