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Paper Citation Record · LEDGER

Skywork-R1V3 Technical Report

As of 21 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 6 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 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:43:52.891844Z

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:14:02.709572Z digest=sha256:438f96108c3000b74d2374d6163271f62cdddc05ec0e0146cb4bf33d1f05134c

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:ab18316124b925dee19be8f021e545ce5787fa2c178fe28f19fce5c4410bc9a4

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:bf3c051465378491af15472a55bace761321e4bcb36dd144f9e72322d74369b0

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:14:02.896171Z digest=sha256:4aad676ce2ebc774270edceb3d290f5d331ddb0bedf4681719c46b1d65f2ed2f

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:cc8e5412e476064c56dcf5bb8cd549b42dd3c25721313bf48846bc41a2b9fd81

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:a17b97fb6628c9d075cc2f471a946437af7a858c194d599960c4ef011310b74d

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:14:03.119431Z digest=sha256:606d7e464239a7f1f8f3654aa6949f74ccba12a2ba5dc1d593eddfc83f62a986

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=sha256:67440a4bbcb30b092854a6805e01a78735c3751c7d8e33c9dc3a491e56ade04b

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=sha256:1285fff75c8c89962b4dd41ff4e0649414f7b4cd3a7923a64d5b3cd79243a1cf

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=sha256:332cfb87e86e77584433f5b4e79fe6d0326a55da9ecf2c712a16bad2f10c5283

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.414783Z digest=sha256:bec26dbdeb6ea12637ee92707800a1e657d13f483ed9a59ab02d3c54e7e287ef

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.502889Z digest=sha256:2c56bde9884673d3d27c823637f383155507f5efac1867b0d2192f47457bf5db

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:03.582847Z digest=sha256:75fa38bb537477b8c38fd631d1e7e28b747f19a5290c8c0bde911d35f823786e

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=sha256:8ebcca57942f325c528c104cd747de80db2c89a1a8693da7a839eb6e2deb8197

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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unresolved
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=sha256:52c0e2dd6d04624d8267c9e98cd38e6056001cbadb6a166026cd3dc104efa392

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:14:03.823162Z digest=sha256:ead37360492965f355f357a5cb46c189ad6bc876cc1420b6103e91b31a461f71

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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unresolved
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:e6c4329529b181f8fafc74fee372cbc3465897e9295fc1891adb47dc289f08d8

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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unresolved
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:d117c09b8b5dddd73faf7f48229b4e35e40b43ff3864f08a3bafd4e155aaa94e

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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unresolved
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=sha256:8124f6a707a941075e7069fe9a5d105e798a67e80db35862aef5f7c37d9f4d4d

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.139055Z digest=sha256:f60cc3c47bac331f22be41098eea75d3bef18a9d3f5eac062ed4c269356e9001

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:14:04.221631Z digest=sha256:f0e0eb85fd18989c18f0e97d3c8ee931fd49da02a3c33228c9e114df0a54f019

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.302415Z digest=sha256:65323292300434d26f58a8bef4c478859d8b2ef4eb1f289aa34e14c7f5b83db9

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.409711Z digest=sha256:9672faade79df288e784f7cb937db88fb84e6501dd05560fd5da027bab68cdaa

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:f49e9e997ba37da5da830ad1acd83312518f975a6a1dff8cab3de84381842976

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.599263Z digest=sha256:5164a587153d84248e0120b4d19b83cb9e87a541b6821f9330f580cb0d56fd2d

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.701180Z digest=sha256:9d04b8b2ecc02c1420918185bebff946382278c5f9c5ee1be6f4818e59055f2e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.805024Z digest=sha256:e3881739ee13d98c5d2a69a4975d41cf46ad119fe3b6cf8b31ce50fc94a86799

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:04.898698Z digest=sha256:d05875d892f6a9101b36ffb8900aa97515635a7ccb2ebc1aaa00620c197a891b

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:14:04.996610Z digest=sha256:8b6ce1e2ee1f30a856aaabda8e3267ab24705f7bd83b03ccfa78dfe06c3783ad

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=sha256:4fcdb13f1db3b330607a9853a277fc4c2bfeb86ce905857d12941cca333ab4ff

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.174677Z digest=sha256:71bdc0bff4433d76cf5a9b3c2c6c2cd43c06a53fc9d18eb23a1d3de31a78575f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.279105Z digest=sha256:449c3d330b4a51484a8d87a99515783aa82d6ab649d0cb2e69abfa1a9d608536

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=sha256:4e7100ec25bf16d501ab7d38d45f766afce0f6c3126026a61de7822d6f835ca0

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.468540Z digest=sha256:f3db55832cb5b23d0df0070f761a6fbe401a0a9d40d6a6c6333c05fa7b1ee446

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:b8e58881001831a98ecab6aeaadb6c00aee28b8817e0f693bc634633192747cc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:05.659753Z digest=sha256:91b1fe15828aed67056b66a3d631d3c8a06d53e3c862de2c3e5897bcda1d73a0

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=sha256:814c7a1ba1ba1b510846e73cbcfaedc0519bdb52c2a03eb0011d2e077b8c139d

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=sha256:4e1b00d4aac947303472abfac5cbb1fd5394baf2d318f01854b27371d56a7606

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=sha256:3aaa12cb167e41720bb7418116b3eba25d3a6b12c57a797464bcdaeb6522241a

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=sha256:6e09452e7c8de3af2b57c13b07b99a0184dffef51fdfb2ca8e526621a5afc1e9

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=sha256:1b7062830f6182087df713e5ecf1073b0debb166d221a02e5d971a99f761e1f9

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=sha256:3a6a0f0962aaeb44c7d432fccf71172c46aa1431e65d9c24100f41cb1abcf980

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=sha256:8d748e6642a41b08c3dc192151399fb54243a4d0f5490b713cd95206f7751ef3

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:aca0067ab3647d3cd85594bcbb4c4981c024713b27666d38033070610eb06524

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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source=arxiv_source observed=2026-08-06T19:14:06.625970Z digest=sha256:e5147cc0a0f59c04056e4a3e1b61892840bb315311327f3d6cd0eb232b5ec712

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:aefad7a8178b2d0aedd2265d034b0a57effd40f66b9b3b57560df14ff04addd1

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:f063a255a731bf525417cb3154924211dc049834cc7b4ec5abbbc0a84438f497

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:a2b3e28e7b73981533744eafa3a133086adaeffe735aa4c49175df1ad152bcf0

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:c471b3993b825d809a30f4ed0f9c10b57029d16450f798c03c232a55ddacdcd3

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:a884b57919f42502e290197bb1df330ca0ea0a78a325b93a9eb65f513630f5a8

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=sha256:0ed2f5c3376791e391cf544fc313cfa2e6ef350e58b0f1643e40dbbea915a716

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=sha256:766ebfddadd29eb78071e6fd66c31d7aafab218e3361b8ca58dbcf670b6617dc

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:f28f8cf89416b81df3e3d511181c7c3e7434e0f192166ff39850de767eb49c56

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=sha256:898105d883632346e93c278860d0d283b45b34b0a7eef063293fdd9678d51458

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:c1787000c3e2d90fe7256696f9f861171fc8afd8f4477a9d2fde3557664d9cc8

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:fc13e076394fd372559b62e88931e8e40e1bd23b1637ac3c2d743df56d307320

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:75579c0cd9c92bc03e0003b3777b0a570b9b3ee0566a586b7ee5d1d89a00bd30

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:de1153083520b9a0bca75fe68b2ffc6af1d623876fdc7d4aeec330393221a731

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=sha256:67828017659d872fa64135c0a9682962bfa8b748c6cba353f8eadb65780fe9e9

Observation ff411f44-97a1-491f-b5d1-03bebf9c15a7 · inbound

InSight-doc: Agentic Visual Perception for Long-Document Understanding cites this paper.

InSight-doc: Agentic Visual Perception for Long-Document Understanding Skywork-R1V3 Technical Report

Reference 126

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source=arxiv_source observed=2026-08-12T20:43:52.891844Z digest=sha256:e3c328be11db0b902878e0af263a38af922e218d04d6ec4c21e8e081294cf90c