Paper Citation Record · LEDGER

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2606.25034.

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

pith.paper-citation-record.v1
2606.25034 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:16:19.502837Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

29 of 29 outbound references displayed

verified exact24
verified fuzzy0
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5535eb30-fd92-4d92-9e9d-67ddf5ab3baf · outbound

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

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.783695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f269cfe5-6dd4-452e-afc3-d02751f2591c · outbound

This paper cites Qwen3-VL Technical Report.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Qwen3-VL Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.786286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64be884f-ec5a-4b0a-9c7a-3d4b03edbc91 · outbound

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

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.781229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff2f73ca-308d-418c-ae66-c60c96ede16f · outbound

This paper cites Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.788821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e35b5f86-0097-485f-ba45-6b3f12f874fc · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T05:16:19.502837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58984c90-434e-4a8d-a1bc-edcf8c63c544 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.790968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cfb054f1-aded-4a4b-b073-ff88d4e1422f · outbound

This paper cites TC-Pad\'e: Trajectory-Consistent Pad\'e Approximation for Diffusion Acceleration.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety TC-Pad\'e: Trajectory-Consistent Pad\'e Approximation for Diffusion Acceleration

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-08-13T02:21:57.332722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c98e7043-5b28-4831-809f-a3f1306651e1 · outbound

This paper cites AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.828247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07667cd3-ac62-4caf-8395-b15867cd85d0 · outbound

This paper cites WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.820968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4626475-3061-44a2-be95-e437be42728d · outbound

This paper cites LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.823348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a64f864-c1d2-4912-82eb-74e62292c9a2 · outbound

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

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.816601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8caad829-8999-4e4d-88ed-4ed6d33807f7 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.812336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 211d3441-b333-4083-bd26-ee40185e34fe · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety LLaVA-OneVision: Easy Visual Task Transfer

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.814433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f2b7ae0-4874-4cdb-8b04-013fec8446b6 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.818729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92d41ff4-d9b7-40e6-a978-c43f4247095e · outbound

This paper cites YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:17:08.913996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 653f0583-a1db-498b-b6be-f940b5371c6e · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T05:16:19.502837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a864ebc9-434b-4257-ab03-b259bac9b288 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.830582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ee1079c-6218-4eff-ab7d-073a82206de2 · outbound

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

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Gemini: A Family of Highly Capable Multimodal Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.810140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1fa908af-4c95-4e14-9d53-3b66b2f0ad30 · outbound

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

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.805518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15ec6608-c26e-403a-8397-d6582a6b4fc3 · outbound

This paper cites LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.808047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation abdb6a5d-f1e4-4073-b346-814ef0813a55 · outbound

This paper cites EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.797548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d90736b3-765c-44c2-96f8-01cde283308e · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.799673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43694509-bb3c-428c-9478-2ddd6a356032 · outbound

This paper cites Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.833168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80bd17c4-3e67-4305-beef-65da6c25520e · outbound

This paper cites ProGuard: Towards proactive multimodal safeguard.arXiv preprint arXiv:2512.23573,.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety ProGuard: Towards proactive multimodal safeguard.arXiv preprint arXiv:2512.23573,

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.802334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 127bd59c-1ac6-4622-a5cd-790c30a96308 · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.795335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 080c990a-42c8-47a2-95be-20ac12b19c76 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:03:48.793195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e45e8d86-b8c3-4e35-b41e-f9050e3ba7ec · outbound

This paper cites an unresolved cited work.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T05:16:19.502837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56bbfb63-7ca2-4ed5-bcda-dcb5795cc8e7 · outbound

This paper cites • Text Chinese language understanding.:C3(Sun et al., 2020),CLUEWSC(Xu et al., 2020), andXiezhi- CNfor Chinese knowledge understanding, and commonsense reasoning.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety • Text Chinese language understanding.:C3(Sun et al., 2020),CLUEWSC(Xu et al., 2020), andXiezhi- CNfor Chinese knowledge understanding, and commonsense reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T05:16:19.502837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a865ec-fd81-4106-9088-cc46c7ed141c · outbound

This paper cites an unresolved cited work.

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T05:16:19.502837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.