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Paper Citation Record · LEDGER

Skywork-R1V3 Technical Report

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 5 inbound Pith citation observations for arXiv:2507.06167.

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

pith.paper-citation-record.v1
2507.06167 v3

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:07.491267Z

measured 59 of 59 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:03:09.720243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:13.424447Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a21e844-221b-4cb9-a9d1-bda25d4c04e3 · outbound

This paper cites Claude-3.7, 2024.

Skywork-R1V3 Technical Report Claude-3.7, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:10.146434Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T19:14:02.709572Z digest=sha256:de84992cc908b80e11591d17a833ca1012cde84a2df332991b48e07d8b7bb6e9

Observation 4229797c-3c8e-4f03-93be-14741dde1c88 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Skywork-R1V3 Technical Report Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 2

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no resolver link, observed 2026-08-06T19:14:02.779478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:02.779478Z digest=sha256:13e089c3aafd58e4d9e87695030696e2ea7bec0a3f31dea519a2004974d8ed1d

Observation 535d1297-7efb-48a0-8c5b-17c0bab84f36 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

Skywork-R1V3 Technical Report The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 3

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no resolver link, observed 2026-08-06T19:14:02.844894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:02.844894Z digest=sha256:b14e9260ebd57a7bc82e3348241ee22abf5e12a60ee1dca086e4ad8e3565fe66

Observation 3bf6ea7b-ac95-4af9-bc94-4c9057da9a18 · outbound

This paper cites Gemini 2.5: Our most intelligent ai modeld.

Skywork-R1V3 Technical Report Gemini 2.5: Our most intelligent ai modeld

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T19:14:09.958077Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T19:14:02.896171Z digest=sha256:5d2f7f3d657eba942dd5cda294843b631c5938e810e4c5cbf2ae8ad681d2701b

Observation b489d9a9-d8f2-4e13-aa6b-f7b7c8aad7bc · outbound

This paper cites DeepSeek-V3 Technical Report.

Skywork-R1V3 Technical Report DeepSeek-V3 Technical Report

Reference 5

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no resolver link, observed 2026-08-06T19:14:02.953006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:02.953006Z digest=sha256:d57079d240731b07f77dc5a8b8f45882f2845055abe7350c71cd8388d2355e63

Observation e500dfc5-5d10-494b-b80e-c0c4f3624769 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Skywork-R1V3 Technical Report DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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no resolver link, observed 2026-08-06T19:14:03.049473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.049473Z digest=sha256:2156ce77205e5182bd0ea55f8c9b203b02d8e9ba02faf67d2ba4c66590926ce2

Observation 508dd280-b8d1-4d24-a9e5-86cbe04b998c · outbound

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

Skywork-R1V3 Technical Report Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:09.747169Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T19:14:03.119431Z digest=sha256:a073498643a7aec01daac07fd47e3b3454328b266bbd4670db569751c04e18c9

Observation 3683c845-0d28-4822-aaa6-6c93241a5bb5 · outbound

This paper cites HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

Skywork-R1V3 Technical Report HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Reference 8

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no resolver link, observed 2026-08-06T19:14:03.176168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.176168Z digest=sha256:8122ba9ef4fb123a522aa405faee3f01c5c16d51fd82ece08dd18cb7ea496ef4

Observation 595aabb9-7d61-48d2-a3f9-3f6748706de8 · outbound

This paper cites Seed1.5-VL Technical Report.

Skywork-R1V3 Technical Report Seed1.5-VL Technical Report

Reference 9

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no resolver link, observed 2026-08-06T19:14:03.246738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.246738Z digest=sha256:4d99d84fd0ef294d90bdce2edceab661e6b4bdf59384365e2ba4ab4b7585d72e

Observation d1c9e39c-da3b-451e-b3c2-7c06538b096d · outbound

This paper cites Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.

Skywork-R1V3 Technical Report Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 10

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no resolver link, observed 2026-08-06T19:14:03.335779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.335779Z digest=sha256:9793dc870a115b0fbec725aad518726ec2d5cbabcc5a8bf0bfdeec3fae36a016

Observation 96bd1a85-bc8a-4b40-82ed-4b20e8adedb4 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Skywork-R1V3 Technical Report Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 11

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no resolver link, observed 2026-08-06T19:14:03.414783Z

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source=arxiv_source observed=2026-08-06T19:14:03.414783Z digest=sha256:cb403c9812903ef71fcbb22cfea32bde6041888fda857b8e6e2ec390cf4cd9bb

Observation cf6ef968-3b80-46ac-9c19-63428e85a8c2 · outbound

This paper cites The Platonic Representation Hypothesis.

Skywork-R1V3 Technical Report The Platonic Representation Hypothesis

Reference 12

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no resolver link, observed 2026-08-06T19:14:03.502889Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.502889Z digest=sha256:e824222293ff2d497cf1ca577b149bcef440a809f90d02ca7887f684672392b6

Observation 3a058f6a-5cb0-4e2e-b170-2e95a9a0cfaf · outbound

This paper cites OpenAI o1 System Card.

Skywork-R1V3 Technical Report OpenAI o1 System Card

Reference 13

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no resolver link, observed 2026-08-06T19:14:03.582847Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:14:03.582847Z digest=sha256:384db2e0fbb09e62538369fb8ddf2478d7288da2b2ffd406cb6b59fc7de154bc

Observation 135949bd-3881-4ccf-9c25-8f809311f889 · outbound

This paper cites CSVQA: A Chinese Multimodal Benchmark for Evaluating STEM Reasoning Capabilities of VLMs.

Skywork-R1V3 Technical Report CSVQA: A Chinese Multimodal Benchmark for Evaluating STEM Reasoning Capabilities of VLMs

Reference 14

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no resolver link, observed 2026-08-06T19:14:03.671614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.671614Z digest=sha256:189d8f70cd196535ca0484616531a391595b47f5212588d0fe09f4a283c25cdc

Observation b2b9d9d1-ea74-4b5f-adb4-cd4893f9b322 · outbound

This paper cites Visual Instruction Tuning.

Skywork-R1V3 Technical Report Visual Instruction Tuning

Reference 15

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no resolver link, observed 2026-08-06T19:14:03.735189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.735189Z digest=sha256:8e3d9a2eb21b2b66c99eab97506bccfef1960bae739d48288f732344a2b43ec0

Observation dcd0d7d7-88c3-4693-991b-bd6d15889fd1 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pp.\ 216--233.

Skywork-R1V3 Technical Report Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pp.\ 216--233

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T19:14:09.600598Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T19:14:03.823162Z digest=sha256:2a6aa3cc30b4e551fb1b4fed9ef3ab85666e99206eaa82fd1524a25170ce6b9c

Observation f058db88-1198-4812-9411-785251fe127b · outbound

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

Skywork-R1V3 Technical Report MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 17

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no resolver link, observed 2026-08-06T19:14:03.903007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.903007Z digest=sha256:c99dd6cb14483cfe4a3fd94601c0a112fecb1c05c84ce496281c3aa7fd41f909

Observation e03ac2b0-2c2f-482c-985a-3c0ecfe4de3e · outbound

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

Skywork-R1V3 Technical Report MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 18

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no resolver link, observed 2026-08-06T19:14:03.979993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.979993Z digest=sha256:d36790aed529722b9c67bd462722b364b258682d22e02eaa415ea0eebb149502

Observation 74189c3c-b628-4905-b979-06d4176af361 · outbound

This paper cites Reinforcement learning with verifiable rewards: Grpo's effective loss, dynamics, and success amplification, 2025.

Skywork-R1V3 Technical Report Reinforcement learning with verifiable rewards: Grpo's effective loss, dynamics, and success amplification, 2025

Reference 19

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no resolver link, observed 2026-08-06T19:14:04.058008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.058008Z digest=sha256:66b02b94ab3cc64fd373bf1ec00d57d4716312e07eedaf39ca4b1eea279bbb2b

Observation 971b8eaf-b210-4bdd-8f78-fd175f7aaa0a · outbound

This paper cites Gui agents: A survey, 2024.

Skywork-R1V3 Technical Report Gui agents: A survey, 2024

Reference 20

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no resolver link, observed 2026-08-06T19:14:04.139055Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:14:04.139055Z digest=sha256:f2dde96464f95aba17fd50b2960ff2a1da86f6b4ca72b5491002051d0b61f525

Observation ba4e3c45-f792-423c-bf68-cf264286e13a · outbound

This paper cites Gpt-4o system card, 2024.

Skywork-R1V3 Technical Report Gpt-4o system card, 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:14:09.362131Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T19:14:04.221631Z digest=sha256:d5fe703f398beef56ba35b8d85cf565d80675140dba691c348f783d66d608a14

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

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

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

Reference 22

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no resolver link, observed 2026-08-06T19:14:04.302415Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.302415Z digest=sha256:18c9377a68574dc31efa9a5bdd63104e9603d4c1ec70881b7e7b832519a08dcb

Observation 3a160e06-b8c6-42d4-b112-c753bc0be00c · outbound

This paper cites We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?.

Skywork-R1V3 Technical Report We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Reference 23

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no resolver link, observed 2026-08-06T19:14:04.409711Z

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source=arxiv_source observed=2026-08-06T19:14:04.409711Z digest=sha256:8aff1db19c032b8499622520c47d7584286c23a8b274555f583c8b5b7aba593c

Observation be0835ab-e60c-4680-8f9e-75ea78db88d9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Skywork-R1V3 Technical Report Proximal Policy Optimization Algorithms

Reference 24

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no resolver link, observed 2026-08-06T19:14:04.527530Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.527530Z digest=sha256:8bb6a3376eba462117b00a95366a2f79378c08af40a2ebbf33ebe95417661dd0

Observation 0574a91e-1e55-4d8c-9a75-cec2187d45f5 · outbound

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

Skywork-R1V3 Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 25

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no resolver link, observed 2026-08-06T19:14:04.599263Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.599263Z digest=sha256:a0e4f42e65a43ffc68a2f39fa04f8acad5320c3624587e8175b146b71552e044

Observation 741a7c8f-3484-478d-aea1-29d25bd15b1c · outbound

This paper cites PhyX: Does Your Model Have the "Wits" for Physical Reasoning?.

Skywork-R1V3 Technical Report PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 26

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no resolver link, observed 2026-08-06T19:14:04.701180Z

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source=arxiv_source observed=2026-08-06T19:14:04.701180Z digest=sha256:d3f7cc7c380aaf23409afdd63743bbbb70ae07418850c3329f8ba11a27cfe52d

Observation 9a89e605-bfa2-4181-9108-5d3ef9e1a824 · outbound

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

Skywork-R1V3 Technical Report HybridFlow: A Flexible and Efficient RLHF Framework

Reference 27

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no resolver link, observed 2026-08-06T19:14:04.805024Z

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source=arxiv_source observed=2026-08-06T19:14:04.805024Z digest=sha256:f4a6db4ad15a2587803fc4c7dc94114d29a5a94678212d1c8522e36c2e38917f

Observation 643527ce-67f8-431a-85b6-f4d5b2f11e23 · outbound

This paper cites MiMo-VL Technical Report.

Skywork-R1V3 Technical Report MiMo-VL Technical Report

Reference 28

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no resolver link, observed 2026-08-06T19:14:04.898698Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.898698Z digest=sha256:d3eba6b3b4cfdefb2df6c2b3e9fe70b3d059863d4a97bcb4e01368fb9ad6d8a3

Observation da0421c2-987f-488d-90db-8b42b926f40e · outbound

This paper cites Qvq: To see the world with wisdom.

Skywork-R1V3 Technical Report Qvq: To see the world with wisdom

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T19:14:09.131781Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T19:14:04.996610Z digest=sha256:3c29b6d3305f8fdebae574454ab4f67216fb405e88623adc92fb4685a10f09de

Observation 9d1e3424-ba1e-4a52-9f2a-97a00c5477da · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

Skywork-R1V3 Technical Report Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 30

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unresolved
no resolver link, observed 2026-08-06T19:14:05.074584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.074584Z digest=sha256:f1ddc55744cd02951b641d5c3776f0633fe3680adeba7020e8d5dcc2e2b040f5

Observation 97929387-2d99-4a4d-a307-fc7ed4238abd · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Skywork-R1V3 Technical Report LLaMA: Open and Efficient Foundation Language Models

Reference 31

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no resolver link, observed 2026-08-06T19:14:05.174677Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.174677Z digest=sha256:ef3fccab26471a1020b33c07a24a4439ffb17c1654a1dac9b014851c5a98e77f

Observation 3c6b83af-f93f-4b88-bc2d-e6de4a6c3ec2 · outbound

This paper cites Vlm see, robot do: Human demo video to robot action plan via vision language model, 2024 a.

Skywork-R1V3 Technical Report Vlm see, robot do: Human demo video to robot action plan via vision language model, 2024 a

Reference 32

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no resolver link, observed 2026-08-06T19:14:05.279105Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.279105Z digest=sha256:fe31e57eaf5690584258d78ff4d1d2f4bed8cfc6f8b47b37a2bd2ab8a6bf8954

Observation 9a4d746d-7b67-4691-91f0-b60bb38d31a4 · outbound

This paper cites Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency.

Skywork-R1V3 Technical Report Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency

Reference 33

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no resolver link, observed 2026-08-06T19:14:05.383320Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.383320Z digest=sha256:c45749fea7136620b62b64e59cbca0dc0d0f5d613acfd406caf81b179e4f51cb

Observation 37c69bd4-167e-4749-ae2e-08166d75dcbc · outbound

This paper cites Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning.

Skywork-R1V3 Technical Report Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning

Reference 34

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no resolver link, observed 2026-08-06T19:14:05.468540Z

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source=arxiv_source observed=2026-08-06T19:14:05.468540Z digest=sha256:7d65486c1e2032ba893bfbd0f318af0519ceb9af4e07cc2287a8c24dea59b3bf

Observation 8679045a-0f04-4cf2-aedc-c27c53c0b850 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Skywork-R1V3 Technical Report Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 35

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unresolved
no resolver link, observed 2026-08-06T19:14:05.557073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.557073Z digest=sha256:f0e18fc9364428feed7794b2f799ac465801a99aa5c7733081c46ba74d559959

Observation a4547d75-1c6b-4cc3-8802-a3e166456278 · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

Skywork-R1V3 Technical Report Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 36

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no resolver link, observed 2026-08-06T19:14:05.659753Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.659753Z digest=sha256:2ba80a69673e54b1676d01a94702520fc0b9b133475bfd6978f44183c6f73b43

Observation daea2ec7-3631-4e7d-a0ea-a91d883a4ca9 · outbound

This paper cites Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning.

Skywork-R1V3 Technical Report Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning

Reference 37

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unresolved
no resolver link, observed 2026-08-06T19:14:05.742695Z

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source=arxiv_source observed=2026-08-06T19:14:05.742695Z digest=sha256:98f05d0f6b525b8a9438d2813ee7359a16b6274ed6381749259f81ffabf9508d

Observation aee4c84e-8613-4ebe-bedf-9de25d4815eb · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Skywork-R1V3 Technical Report Chain-of-thought prompting elicits reasoning in large language models

Reference 38

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source=arxiv_source observed=2026-08-06T19:14:05.852966Z digest=sha256:f5b0d0cbce762dd47a05f49d21c48ab2b1802f363a8c5c2a1f60a8f0c790f55c

Observation fe375c0f-94e8-4dea-86cf-6a60774b62e9 · outbound

This paper cites Seephys: Does seeing help thinking? -- benchmarking vision-based physics reasoning, 2025.

Skywork-R1V3 Technical Report Seephys: Does seeing help thinking? -- benchmarking vision-based physics reasoning, 2025

Reference 39

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source=arxiv_source observed=2026-08-06T19:14:05.976737Z digest=sha256:d6ef1d1442b8fbfedea26462a6adba7b205afa457e405eec051b0a4c45cb7561

Observation 0924ea39-aaa8-4179-bbb6-7b694a9fc070 · outbound

This paper cites LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts.

Skywork-R1V3 Technical Report LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts

Reference 40

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source=arxiv_source observed=2026-08-06T19:14:06.071640Z digest=sha256:0419bf086d4a89c1fd1de680a424b78dcf2c33b95b7996619887ca6576442693

Observation 6c08403c-c187-468a-aa4f-e2cdd37cd97f · outbound

This paper cites VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models.

Skywork-R1V3 Technical Report VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models

Reference 41

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source=arxiv_source observed=2026-08-06T19:14:06.185506Z digest=sha256:8b7358fa5a734831abc043e465506ebfff2663880836a62c70a2db3885210a9f

Observation 6fd8a4a4-b6bd-4978-b53e-6577ef55547c · outbound

This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

Skywork-R1V3 Technical Report VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

Reference 42

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source=arxiv_source observed=2026-08-06T19:14:06.267417Z digest=sha256:ba0d026c2ae6943275a16b446a6226c230adf38b663e3614b7c267665be599e6

Observation b5f6112d-1b2a-4d81-a4c2-9bf9568cbb3e · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Skywork-R1V3 Technical Report DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 43

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source=arxiv_source observed=2026-08-06T19:14:06.381013Z digest=sha256:80bb2883aa2436e529f4e7f457a155429d96c24cb624879512eaedad378fd0cd

Observation f87cc9b9-efdc-4bf8-a416-047cb2e25476 · outbound

This paper cites MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs.

Skywork-R1V3 Technical Report MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs

Reference 44

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source=arxiv_source observed=2026-08-06T19:14:06.477729Z digest=sha256:befa6bc42083bf8ab4b1e6befc542dc5bb685f8f8d32edc3a3de62163c866743

Observation 2a32af9c-5af0-423b-a85c-82427b31b436 · outbound

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

Skywork-R1V3 Technical Report Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 45

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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=2026-08-06T19:14:06.625970Z digest=sha256:5b511741b3b64fb3547d14894526e2f9cd091801d5c5a6ab33933c711147acc5

Observation 1e3744ac-1aff-4e6d-85fb-6b72bfc1dc7c · outbound

This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.

Skywork-R1V3 Technical Report MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 46

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source=arxiv_source observed=2026-08-06T19:14:06.726951Z digest=sha256:ebcf774ed7ba4d0770d3a3f67dd9a3c5243a096b0586929158ad124836086434

Observation bfbb7e93-76ba-4638-918e-68d65e3803b1 · outbound

This paper cites Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation.

Skywork-R1V3 Technical Report Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

Reference 47

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source=arxiv_source observed=2026-08-06T19:14:06.879405Z digest=sha256:8f45522e32d49a6e5a070edc53f9476fcb61c9beae502e9cc35554c654bf15fc

Observation 18c26c28-4317-45f4-8223-12cb371da5aa · outbound

This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?.

Skywork-R1V3 Technical Report MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Reference 48

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source=arxiv_source observed=2026-08-06T19:14:06.985583Z digest=sha256:c1945534b865bb5092316ae8b0b754a8000839b799d33768846bce4235355a35

Observation 4ed4e24d-b714-4ca2-bf3f-38a2375581d8 · outbound

This paper cites FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model.

Skywork-R1V3 Technical Report FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model

Reference 49

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source=arxiv_source observed=2026-08-06T19:14:07.085583Z digest=sha256:db2ab2c841e2db16d7b2b8e5fb4815256d464d7f03fdc2406cf989a2e65e582f

Observation 12c77fae-44e4-4e2f-8811-b35043c4d6db · outbound

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

Skywork-R1V3 Technical Report InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 50

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source=arxiv_source observed=2026-08-06T19:14:07.140185Z digest=sha256:79898a9c1ae7f8757e0a9f2d8d7ac796d61436ce31fedb2cd3d76c29556cbb1e

Observation 7760a4b9-55c7-421c-add5-6b21c27bc001 · outbound

This paper cites write newline.

Skywork-R1V3 Technical Report write newline

Reference 51

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source=arxiv_source observed=2026-08-06T19:14:07.246466Z digest=sha256:45dce49cb30e9ec56be9728eff8173c35bd0f97dedb57e8395b013d3b7f27856

Observation d627a986-424d-4493-89c7-0b61ee0addb6 · outbound

This paper cites @esa (Ref.

Skywork-R1V3 Technical Report @esa (Ref

Reference 52

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source=arxiv_source observed=2026-08-06T19:14:07.315396Z digest=sha256:60ea865477f474fc1a2868e1e62aef85a179e2a94c7bcad491af56f2e4cdd831

Observation 7aaa3473-6c5a-47f6-9358-2e0a43cea8ee · outbound

This paper cites an unresolved cited work.

Skywork-R1V3 Technical Report Unresolved cited work

Reference 53

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source=arxiv_source observed=2026-08-06T19:14:07.421669Z digest=sha256:221b021036410aa09beeea147a529bad46124be62e2d65c443800ab3a1a596b0

Observation 943bc98f-5c76-46f3-a89f-8b7ffc65d0a1 · outbound

This paper cites 当她在你的个人笔记本电脑里看到一个名为“models.

Skywork-R1V3 Technical Report 当她在你的个人笔记本电脑里看到一个名为“models

Reference 54

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source=arxiv_source observed=2026-08-06T19:14:07.491267Z digest=sha256:216eae5bbf6203891c64423f32735883aa9638fccb23714cd33c24d96a555906

Pith citing papers

Observation cbb68054-14f4-434d-bc7c-2dd937822bb7 · inbound

MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models cites this paper.

MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models Skywork-R1V3 Technical Report

Reference 43

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source=arxiv_source observed=2026-08-05T23:03:09.720243Z digest=sha256:aefdb204d9a82822b0f7193706be8d1cb69a1dc45bcb8c3b48aa31241a8c956d

Observation 284bbab0-f3fe-422b-86d8-0fa26f273825 · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency Skywork-R1V3 Technical Report

Reference 110

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arxiv_id, observed 2026-05-10T11:58:58.742705Z

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source=pdf_text observed=2026-05-10T11:58:58.660564Z digest=sha256:16562381fafa40fff1ab2b68e0892215609754dd47ebce990e699ec89d3074ff

Observation b9c262dd-6495-4d59-a469-dcf1e6eae95e · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Skywork-R1V3 Technical Report

Reference 22

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arxiv_id, observed 2026-07-01T20:56:13.426115Z

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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=2026-06-28T17:38:50.313305Z digest=sha256:ac232788c737504934402e233c08782195d3a1362754d71ec4b6db00cc3ff433

Observation b8227061-15c5-4a1c-89da-b4b7fb7eb3fb · inbound

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning cites this paper.

Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning Skywork-R1V3 Technical Report

Reference 43

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arxiv_id, observed 2026-06-30T13:34:41.128988Z

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source=pdf_text observed=2026-06-30T05:55:19.083517Z digest=sha256:f54427faded380479aa3fcd2a8998f803db9e5abe8a8167bbc8f5fdb6184b8f9

Observation 1923581c-b5b5-43b4-9a48-b9c46c031552 · inbound

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning cites this paper.

Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning Skywork-R1V3 Technical Report

Reference 73

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source=arxiv_source observed=2026-07-31T01:31:12.828360Z digest=sha256:bc52579ebc9a2d4509bf342ff5b50542ac9e30f28cf8ec198483dbfa8c170b3f