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Paper Citation Record · LEDGER

Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2504.05599.

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

pith.paper-citation-record.v1
2504.05599 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:35.933783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.139322Z

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Outbound references

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Pith citing papers

Observation 02d78a85-0a6d-4a8e-921b-925826914b61 · inbound

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO cites this paper.

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 36

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source=pdf_text observed=2026-08-07T15:01:35.933783Z digest=sha256:8ccb05ae68ce285b87ba4a2a0dbdad8e588b14cb71b0ddda0a2570ee360b1939

Observation be1b0c93-c556-486c-8a10-b029c698a2e9 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 75

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source=pdf_text observed=2026-08-07T14:31:14.986136Z digest=sha256:e075ea0bc8c085305864d95bce858e507ea8742b0fffb5a88b637ab7e04f8cf4

Observation 29f1d055-0c40-4292-bd67-dbf5c2773828 · inbound

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models cites this paper.

Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 29

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source=arxiv_source observed=2026-08-07T14:01:24.672118Z digest=sha256:0d18debc4aab11463a7f56f24efbf279a0f68f823900e3dcbf62323667007a53

Observation 90ef9e79-5272-441e-8a41-c03e13bc9072 · inbound

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 37

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source=pdf_text observed=2026-08-07T13:12:55.775370Z digest=sha256:b53b05d151f2c72cdc3676e12e6befe1ed8417aedee94a75fd96179b4c55995a

Observation 18db10f3-bc3d-486f-862c-0c7fa342febb · inbound

MedBookVQA: A Systematic and Comprehensive Medical Benchmark Derived from Open-Access Book cites this paper.

MedBookVQA: A Systematic and Comprehensive Medical Benchmark Derived from Open-Access Book Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 27

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source=pdf_text observed=2026-08-07T12:01:04.528992Z digest=sha256:f3114b5139f87f526b7d97c3a8773dc5e7822120858ee1ff73eaddd98734fef2

Observation d2cd426f-ae60-4c5b-a659-a910706b907c · inbound

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking cites this paper.

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 35

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source=pdf_text observed=2026-08-07T11:55:13.380294Z digest=sha256:b8eeee0523d31570973694cc905b7fac4395a6e6b792a5aa31d55d4bb1a993e6

Observation f64cea09-1498-41e3-a433-a442078a277c · inbound

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence cites this paper.

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 43

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source=pdf_text observed=2026-08-07T11:26:39.566577Z digest=sha256:fcc9e5a4454e091fc37d0a0ffafe13c831545ceae7191783b6faf18f9be0734c

Observation bd9dee67-9dcc-46ea-bd33-89aa1ee86ff8 · inbound

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning cites this paper.

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 44

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source=pdf_text observed=2026-08-07T10:55:14.779760Z digest=sha256:64b526cbcbbb9cfbe62026dcaa6e526f35b48e9fdb0fd06dffc8496f888df83c

Observation 9794201d-f274-43cd-84bd-ba8fa3830ebb · inbound

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing cites this paper.

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 49

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arxiv_id, observed 2026-05-17T04:58:10.293647Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:58:10.202784Z digest=sha256:0b146c0a2da9082f12e984f27165c9caa483585522dd1122b97c9addd66fd6b2

Observation 5aa70ea3-58cb-4792-9299-2b9257ae930f · inbound

Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training cites this paper.

Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 13

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arxiv_id, observed 2026-05-19T08:27:11.267022Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T08:26:12.441869Z digest=sha256:25333af2cd5280839bdea8327780e7d933cfe9f651e08736862653b027512a96

Observation aa884deb-08a2-42ee-8cf7-3c4eb220165b · inbound

APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization cites this paper.

APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 24

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source=pdf_text observed=2026-08-06T22:29:28.285695Z digest=sha256:40452151a814c61c7b43b42fdbdb2ef49a2cb0e177700ef4640230da5b956db1

Observation 41ca8a4b-5b82-4ff3-a3b4-f32a305a2bd7 · inbound

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning cites this paper.

MiCo: Multi-image Contrast for Reinforcement Visual Reasoning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 25

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source=pdf_text observed=2026-08-06T22:10:21.421604Z digest=sha256:d3a09d6e72715b5b5dac4701a0af30885f116d2a8e132208de849ea10604fbe0

Observation ac111eda-a7b8-4b6a-be5d-43d7950494a5 · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 29

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arxiv_id, observed 2026-05-19T06:52:08.143618Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T06:50:02.607136Z digest=sha256:7a0b98d9e2ec39b6969db30e70f0d524e0eedcd5c43887dbb62f317843530bb0

Observation 6af19083-4476-41ec-9c25-8ae61921f423 · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 56

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source=pdf_text observed=2026-08-06T20:43:13.212648Z digest=sha256:75ef72a251950253b177547496398cb9208a0747a7914c3c87c523cd0e7239d3

Observation 9bfa58a6-b28e-4251-a279-0ff11e7a0dea · inbound

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning cites this paper.

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 29

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arxiv_id, observed 2026-05-19T06:12:07.003212Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T06:10:57.219445Z digest=sha256:cd88d93380a5fc0c52abbb383af9680abd4a532d8f272cd3722df72bebbd13b0

Observation 7ab3dd6f-d702-449b-b23f-dc6d1441d93a · inbound

Skywork-R1V3 Technical Report cites this paper.

Skywork-R1V3 Technical Report Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 22

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source=arxiv_source observed=2026-08-06T19:14:04.302415Z digest=sha256:4aec35bb66fb1de031f0c35b2e1a6864188b018957c411c58171cc806692e19b

Observation 3c5ca4cf-5fe4-442f-98a7-a4ec04b56acb · inbound

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning cites this paper.

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 36

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source=pdf_text observed=2026-08-06T15:12:01.937219Z digest=sha256:1434be6b0232dd0a29750887f346ba9d2390dc85c309dcb33d71fa4dd004f5ac

Observation 2515639a-a809-49df-bc4c-4378da6d87c5 · inbound

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning cites this paper.

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 54

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source=arxiv_source observed=2026-08-06T11:35:15.419272Z digest=sha256:f104094f7eabded33ae70e7bc7c852368c1f827a6cd13506fc25120b749c558a

Observation 404118a3-a047-4128-8830-5c5bea76d8d5 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 131

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source=arxiv_source observed=2026-08-05T20:28:54.771023Z digest=sha256:fb82579fac6c011c401f665bb5732a50e4576e1e04fd1fac0ae6b2d06f96eb42

Observation 027f1f04-692b-457a-ab22-270ac4a7911e · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 257

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source=pdf_text observed=2026-08-05T10:39:08.181121Z digest=sha256:3d292ac7ce137accfc1e2d3a6a9d18f208f211538be2df93df47c452cdb8896b

Observation 74a6bab7-dd76-488f-9f44-9342d99902e0 · inbound

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards cites this paper.

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 30

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source=pdf_text observed=2026-08-03T21:09:24.459671Z digest=sha256:f73b21d1ad6ee22deb00ba66f5691f52125062276dfc713d68b1d275ce93d25d

Observation 80734e38-b2c9-4dda-acf6-17b720a4d969 · inbound

R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model? cites this paper.

R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model? Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 20

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source=pdf_text observed=2026-08-03T05:06:46.007695Z digest=sha256:0bfb73a534850d7662c2e625c47687129c47d3d971c71a3e151b71e9f76621d4

Observation c85aff74-3635-4b8a-bb67-dcca7a2768bb · inbound

Learning Self-Correction in Vision-Language Models via Rollout Augmentation cites this paper.

Learning Self-Correction in Vision-Language Models via Rollout Augmentation Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 22

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source=arxiv_source observed=2026-08-03T03:21:13.900352Z digest=sha256:c25db0d511b22370cf3a66ad8b66825a5d2f10dcb4465c3c9dc74a004f885c21

Observation 659e8145-4fd3-45e0-a805-9c0d857b45e5 · inbound

CoVR-R:Reason-Aware Composed Video Retrieval cites this paper.

CoVR-R:Reason-Aware Composed Video Retrieval Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 14

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source=pdf_text observed=2026-07-13T21:37:55.887477Z digest=sha256:ab692b11e51087843aa7033ba8cace78be6d1b3cb3fe5323a0b9a0903b2e5459

Observation 68baa483-9c90-4e76-8b4e-2da6fe045052 · inbound

SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning cites this paper.

SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 39

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no resolver link, observed 2026-07-13T19:34:58.789459Z

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source=pdf_text observed=2026-07-13T19:34:58.789459Z digest=sha256:ba75685a033629ca3090b10a5057d498b094803c6f7d757c001ac7109ed27824

Observation 52c0c1c7-5226-4120-b4c9-a92a0a738e31 · inbound

EgoMind: Activating Spatial Cognition through Linguistic Reasoning in MLLMs cites this paper.

EgoMind: Activating Spatial Cognition through Linguistic Reasoning in MLLMs Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 33

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arxiv_id, observed 2026-05-13T22:43:22.901724Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T22:41:09.840792Z digest=sha256:20a28a90357014b0e03751c01a90dd50d95ed7f9e6e5520cd42f536f5ebc99f7

Observation 1b1cea7c-eece-4c31-a38b-ad1a103f8ef6 · inbound

EgoMind: Activating Spatial Cognition through Linguistic Reasoning in MLLMs cites this paper.

EgoMind: Activating Spatial Cognition through Linguistic Reasoning in MLLMs Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 34

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source=arxiv_source observed=2026-07-13T14:39:55.177552Z digest=sha256:3df486cc28c302225c6777c2c3562928ac846563ef558b36f66645782cf89c59

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

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

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:b35a1a5293d952dc128830ad0aad7feedfa7a50ba9c6cb67e7c6c2524f9b151e

Observation 46f7997f-6e51-444c-b435-9973d1f256cc · inbound

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images cites this paper.

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 13

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arxiv_id, observed 2026-05-09T22:34:07.596827Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T22:26:03.080281Z digest=sha256:e37990d2c3224ff4118a751d5e80aa1b57346724ef407e4e31a92b171d192891

Observation a587b752-de3f-428e-968e-6695b47820dd · inbound

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating cites this paper.

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 31

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arxiv_id, observed 2026-05-13T06:02:22.039634Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T06:00:31.582714Z digest=sha256:1b476d6177509c7f814810c4c1ac2931a779d090ec474c97091e7390114caab4

Observation 501ae986-43e8-42bb-922d-4bd8e49b3910 · inbound

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating cites this paper.

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 41

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arxiv_id, observed 2026-07-01T13:55:45.272929Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T22:38:43.102769Z digest=sha256:63139d1bb41e72f5d110720dd3f5113cc0de489bd727253ff9b0cb0fd3fcf839

Observation 2ebd7c6b-8f4e-4dcd-ad81-ae4b2d8cd9b8 · inbound

Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models cites this paper.

Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Reference 20

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arxiv_id, observed 2026-07-01T22:36:17.142808Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T15:16:39.121420Z digest=sha256:c5e2cd8432ad1e1d23106f1a9fa3754f997b1e4ea7609662776c2041ef5b9a0f