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Paper Citation Record · LEDGER

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 46 inbound Pith citation observations for arXiv:2411.10414.

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

pith.paper-citation-record.v1
2411.10414 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:41:19.762055Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:57:21.997909Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T10:30:59.155257Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bab6ff7-5926-4b4a-931b-4b97a1572bde · outbound

This paper cites GPT-4 Technical Report.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-12T19:41:19.611726Z digest=sha256:7a7960d59f2b35cc24b8080567cc4415ab83caae2cf5cbed1da2906ef5d6ff26

Observation 608c4cba-45bf-4837-a607-e7ac619bfe0a · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 2

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source=pdf_text observed=2026-08-12T19:41:19.687727Z digest=sha256:934135b9ebca2a590ca65964fa2b1d147350c1562b94eb179ff8706c619f7135

Observation 377965bc-55ef-4702-9e68-a9625ed67278 · outbound

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

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Gemini: A Family of Highly Capable Multimodal Models

Reference 5

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source=pdf_text observed=2026-08-12T19:41:19.642602Z digest=sha256:16815474f889455fe1298afe01858d06debaf6c70fb5c04df3dd3a3f09feb881

Observation f7cc4230-c587-4dda-85db-f9c61cff8da6 · outbound

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

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 7

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source=pdf_text observed=2026-08-12T19:41:19.652833Z digest=sha256:b9228541057d1733769f22f290f46b746eb03c66dcff91f33e5bc298fa9ee804

Observation d8fa95f1-97ae-466a-a75f-73f812f06eb3 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 8

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source=pdf_text observed=2026-08-12T19:41:19.659949Z digest=sha256:e63bb661ca46826e963c08725bf0c94453bf9aceca5ad579aef54a7d120c9d44

Observation f5755abd-8543-4dfc-bb2a-6a97c54cc95f · outbound

This paper cites Scaling Laws for Neural Language Models.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Scaling Laws for Neural Language Models

Reference 9

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source=pdf_text observed=2026-08-12T19:41:19.664516Z digest=sha256:9165ddd220ce5807b504f5f02906e5f0e2e191903d8a1bc9af21334163a2f7ed

Observation e9c447c6-1fb2-46e7-bdd0-1030180f30e4 · outbound

This paper cites Microsoft coco: Common objects in context.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Microsoft coco: Common objects in context

Reference 10

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source=pdf_text observed=2026-08-12T19:41:19.672236Z digest=sha256:a06ef162e40e9b1c57a439102db4b4741b828e76e61ec5b939d9fc6b10d2cc7f

Observation 125e3ad4-7929-4c1d-86c2-fdfcd50d61e0 · outbound

This paper cites The Llama 3 Herd of Models.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations The Llama 3 Herd of Models

Reference 11

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source=pdf_text observed=2026-08-12T19:41:19.677557Z digest=sha256:6993ee6bd841059e94aa8251b6bb29e66f269237977e617c3f533b3f2af2d38f

Observation 6b50efe8-27bb-4f7e-ab22-8957671db108 · outbound

This paper cites Safety Alignment Should Be Made More Than Just a Few Tokens Deep.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Reference 14

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source=pdf_text observed=2026-08-12T19:41:19.707975Z digest=sha256:0e73d4502e42098e801000b22a4fc5015179436eb46fb3574f365241d9a18d22

Observation 48db200e-9897-465d-b0c7-da738f48eb32 · outbound

This paper cites Gradient-based Jailbreak Images for Multimodal Fusion Models.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Gradient-based Jailbreak Images for Multimodal Fusion Models

Reference 15

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source=pdf_text observed=2026-08-12T19:41:19.713071Z digest=sha256:0d84e8d199bcde30228c0b322833921a5e8c747a9c9f52c56775bda69985e9dd

Observation 745cbf86-2fd6-47cd-a8a2-7d0b5bb25443 · outbound

This paper cites Intriguing properties of neural networks.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Intriguing properties of neural networks

Reference 16

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source=pdf_text observed=2026-08-12T19:41:19.717986Z digest=sha256:6682788bda9dfc53760bb67a163d99fe862d90851a00bdafdd6537920139a145

Observation 3930a099-e5d5-404a-9520-7631263bbbaa · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Finetuned Language Models Are Zero-Shot Learners

Reference 18

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source=pdf_text observed=2026-08-12T19:41:19.728380Z digest=sha256:c8ed48f2e165763a237d21e0c5363ba5b154f6c8c378c28ccc256095a686ce4c

Observation 5897041d-e12e-47d8-ab0c-e928252a4a8b · outbound

This paper cites RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content

Reference 19

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source=pdf_text observed=2026-08-12T19:41:19.734437Z digest=sha256:3299f26359ed2d0fd5ad8fec6e415f7b118a3a5a466c21484b5fb8625c0049f5

Observation 7f2c60b6-d6f0-4d16-8b8d-8c8fb8bc85f4 · outbound

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

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 20

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source=pdf_text observed=2026-08-12T19:41:19.739329Z digest=sha256:8fd4a8a25642fee9a7f1939e158c637cad766033a3b8b5679cc957cdad8dedf8

Observation 15272f1c-e302-4d92-8a5b-8337b0449037 · outbound

This paper cites Backtracking Improves Generation Safety.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Backtracking Improves Generation Safety

Reference 21

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source=pdf_text observed=2026-08-12T19:41:19.745065Z digest=sha256:7b16f833397bdcdbe7719e23b6a430c712156b225565ae92965b9ab87388e9db

Observation c9f6a650-6426-4ba0-b89d-53c5743a2b00 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 22

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source=pdf_text observed=2026-08-12T19:41:19.749549Z digest=sha256:e6f7c628ef6138e50394c336db55344d5a65d663a83570ecdf835ebf72a43ca4

Observation 7ad0d0f3-61ab-445f-8491-9baacbcb1902 · outbound

This paper cites Improving Alignment and Robustness with Circuit Breakers.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Improving Alignment and Robustness with Circuit Breakers

Reference 23

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source=pdf_text observed=2026-08-12T19:41:19.754273Z digest=sha256:13c4cf7a633a4d68c10859c025d603cb3197c5f5aa1f665131218bd944da96f2

Observation c1caace8-2616-44f7-b1e2-54cad6bb6cc1 · outbound

This paper cites an unresolved cited work.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-12T19:41:19.762055Z digest=sha256:1aaaf9b601a641147d71ba305de85bfd3039e119501220e6f89c6c96f383106f

Observation 1ffa0eb6-c7c4-4deb-b108-8acbd635c507 · outbound

This paper cites Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Reference 2015

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source=pdf_text observed=2026-08-12T19:41:19.617548Z digest=sha256:b0d1a33d3c02bc3b23e6b719f94191a37d5cc29ff594219213eda370a7f47359

Observation 7e674f15-d8f5-4090-85e4-8fe37aa6ce21 · outbound

This paper cites Large Language Models as Tool Makers.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Large Language Models as Tool Makers

Reference 2020

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source=pdf_text observed=2026-08-12T19:41:19.631804Z digest=sha256:50f5fee03bb3f0b8e2c3013b1f2d81a8e849d29d5577cc1c1eb8bcc25421a147

Observation 27f9e599-9525-4fc0-8061-c155fa652406 · outbound

This paper cites Openai o1 system card, 2024.https://cdn.openai.com/o1-system-card-20240917.pdf.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Openai o1 system card, 2024.https://cdn.openai.com/o1-system-card-20240917.pdf

Reference 2021

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source=pdf_text observed=2026-08-12T19:41:19.700018Z digest=sha256:204283050128defbd51a4f4b8b99418c3febeca92c20343ea0053375676560e5

Observation 2749a692-ac32-421c-adb6-d5db5bfe6d8c · outbound

This paper cites Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Introducing v0.5 of the AI Safety Benchmark from MLCommons

Reference 2022

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source=pdf_text observed=2026-08-12T19:41:19.723877Z digest=sha256:0c3dcb911c7d0f9dc262229a4f30dcbc5fa6ec6ce2a5a2d2276f5070e341db9a

Observation f7e03006-52c6-478e-905c-a08392c8e9a7 · outbound

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

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

Reference 2023

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Observation 2e77e521-acc4-49c4-bd51-d2c7bccfff4c · outbound

This paper cites Language Models are Few-Shot Learners.

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Language Models are Few-Shot Learners

Reference 2024

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source=pdf_text observed=2026-08-12T19:41:19.623020Z digest=sha256:1348d7336f6bfc9ce9d494424daad47dc944ab9fa5fb6bd59a25acf1b84ee48c

Pith citing papers

Observation 5338327d-43fd-40c9-89ac-0a9e9e809fe0 · inbound

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model cites this paper.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 2019

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source=pdf_text observed=2026-08-10T22:06:36.928052Z digest=sha256:2048f60b961653bb02d40634882da791de4912a3f573e6ca03eb6c95f09a2ad6

Observation 045b3ac9-2178-4ca6-8ec9-7f65a19bd5e8 · inbound

MSTS: A Multimodal Safety Test Suite for Vision-Language Models cites this paper.

MSTS: A Multimodal Safety Test Suite for Vision-Language Models Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 8

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source=arxiv_source observed=2026-08-10T19:27:42.201183Z digest=sha256:7de20d5bc24c49d820e8c3471aea8752f21ec903462b44302b8558bb750f212a

Observation 05d35bdc-b54e-454b-88a1-c0052816a186 · inbound

Peering Behind the Shield: Guardrail Identification in Large Language Models cites this paper.

Peering Behind the Shield: Guardrail Identification in Large Language Models Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 12

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arxiv_id, observed 2026-05-23T03:45:21.411682Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T03:45:14.234545Z digest=sha256:170ef39451ca6a04893b6e03a7da56941b20fa9563afca97235e3919f6e63b0e

Observation 2a14a196-5cd8-4644-8dd6-9f5f866d8dca · inbound

Position: Adversarial ML for LLMs Is Not Making Any Progress cites this paper.

Position: Adversarial ML for LLMs Is Not Making Any Progress Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 13

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source=pdf_text observed=2026-08-09T12:47:21.635346Z digest=sha256:7348b0684009b0c76c367ae9ce88be7e8f12989528e70544a4722c6a0f20d11e

Observation 17d1a7cf-e579-4cbb-b1dd-91f41bbf9764 · inbound

Universal Adversarial Attack on Aligned Multimodal LLMs cites this paper.

Universal Adversarial Attack on Aligned Multimodal LLMs Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 8

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source=arxiv_source observed=2026-08-08T11:17:01.558974Z digest=sha256:29df35304fbf6152d20bebcef7de15e3c3f912e811b846bc5dc6ed1bce72013a

Observation 44c9e5cf-e35a-4b7c-abc1-e398f7346f65 · inbound

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning cites this paper.

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 17

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arxiv_id, observed 2026-05-23T01:32:22.636141Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T01:27:33.123243Z digest=sha256:4a486930b888ed6638b0065675b9d27f605ef8ca111df2e5571e65810000a22d

Observation c5d15393-8b69-4e68-8c9a-12494ca33dbf · inbound

BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation cites this paper.

BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 15

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source=arxiv_source observed=2026-08-16T10:57:21.997909Z digest=sha256:72498253eb3fa276754a937a5e3c5f149fc3e69c993b00ca4c443fd59de5b571

Observation 0605da23-8e2d-469d-88f9-c43235685d5f · inbound

Safety in Large Reasoning Models: A Survey cites this paper.

Safety in Large Reasoning Models: A Survey Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 2025

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source=pdf_text observed=2026-08-16T10:36:48.079314Z digest=sha256:1c7fa3c6d5ca2956ed4d650e8297e10fd864292177daa21437d7a6472bfb5eb3

Observation a9a5519a-a09f-454e-9774-509c90d902ec · inbound

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning cites this paper.

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 11

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source=pdf_text observed=2026-08-15T21:05:17.326452Z digest=sha256:44e254bfb98cb6373bc03a49003618ac86783163e567dd6ae72f3d3c5c08fc59

Observation 7c328271-341b-45e1-a14a-2386493b51e1 · inbound

CAPTURE: Context-Aware Prompt Injection Testing and Robustness Enhancement cites this paper.

CAPTURE: Context-Aware Prompt Injection Testing and Robustness Enhancement Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 5

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source=arxiv_source observed=2026-08-15T20:41:10.476101Z digest=sha256:19ca161cde1cd8fb9a2f5017efe8bc597ec3004e4e57ad2fa1111eb8c69e498e

Observation 44af8039-f98a-4ca2-9be4-5c51c6071f3a · inbound

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs cites this paper.

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 11

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source=pdf_text observed=2026-08-07T15:43:21.902482Z digest=sha256:117ec0863261569dd0310c2a63a04435240b924fd6e7d1002fdf53139f15e7fc

Observation f02ef074-c473-4d5e-9bbc-0e4a8128692e · inbound

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models cites this paper.

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 42

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source=pdf_text observed=2026-08-07T15:03:39.673608Z digest=sha256:3912892ec94b30dae524dd21820f012710a3daf8ecc6aa925f6af8c6b090d3af

Observation 48eb96e2-9bbc-4668-9c72-6313023d7d9b · inbound

Security Concerns for Large Language Models: A Survey cites this paper.

Security Concerns for Large Language Models: A Survey Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 12

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unresolved
no resolver link, observed 2026-08-07T14:27:03.421477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:03.421477Z digest=sha256:46f387448052aaf152bb0105c496e63291a6be5de2c15d73225bfaaf4fb1224d

Observation b4f196d9-71c2-43b6-9217-26debf298a97 · inbound

VLMs Can Aggregate Scattered Training Patches cites this paper.

VLMs Can Aggregate Scattered Training Patches Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 19

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no resolver link, observed 2026-08-07T11:04:05.820412Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:05.820412Z digest=sha256:f6c5409bcc93b0c6ac735ed5b4f059b60c237b5a87ec8f8abcd4c78be176fb17

Observation 9548bc3d-60a6-4042-a178-b1c18432db6a · inbound

Speaking images. A novel framework for the automated self-description of artworks cites this paper.

Speaking images. A novel framework for the automated self-description of artworks Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 22

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no resolver link, observed 2026-08-07T13:17:51.324825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:17:51.324825Z digest=sha256:e7fcaff079854b1e278fabbe69987790a59df6b7821e61731c7e73b7093ce832

Observation e8ec850e-642c-49aa-9266-b79e0230029d · inbound

WebGuard: Building a Generalizable Guardrail for Web Agents cites this paper.

WebGuard: Building a Generalizable Guardrail for Web Agents Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 11

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unresolved
no resolver link, observed 2026-08-06T16:12:47.921568Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:47.921568Z digest=sha256:f7b1f75dbfaf6a1c977e9fe96b78e395d74b42f998727e2114042ba0e3ffdc21

Observation 335ee4fe-56fb-4146-923f-8bbbfdab16c3 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 37

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no resolver link, observed 2026-08-06T13:05:30.941258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:05:30.941258Z digest=sha256:5ff8c2f03c329ee580d13174901c845f9be796807488e22c79df64ff2e6ed13f

Observation 9cb7fc64-0366-4d19-ab69-4a448b819912 · inbound

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security cites this paper.

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 7

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unresolved
no resolver link, observed 2026-08-06T12:09:39.630560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:39.630560Z digest=sha256:378744bcfafd081d017c1f22617b22ef9716f53f5968ab358d18929f930e71a4

Observation 5e27679b-e4c7-415d-9938-5bb015d069a4 · 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 Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 271

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unresolved
no resolver link, observed 2026-08-05T10:39:08.237034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:39:08.237034Z digest=sha256:869d5427588b8fd2a92548d60bda2cbbe623eb5f0362b24119e21737f94dd08f

Observation a441a9e7-6922-4492-8447-1f81cf1845f1 · inbound

MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation cites this paper.

MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 7

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unresolved
no resolver link, observed 2026-08-04T10:22:04.265393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:22:04.265393Z digest=sha256:c134cc3bc0a4210a9bf0267d774109fa0972fa8b0965028f9305ecc8e85c6ba1

Observation 7d96b9a3-9a7c-4e5f-ab71-fc09da28f6ae · inbound

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs cites this paper.

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 91

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unresolved
no resolver link, observed 2026-08-04T06:54:13.642986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:13.642986Z digest=sha256:e7b17ee125cab5774daa29eb402b4ccfade44d3d70cb08c5579b5c5b09d326fa

Observation bcab73ec-16b2-4f58-881a-a1cabb3d1221 · inbound

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring cites this paper.

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-16T22:31:19.456225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T22:28:41.134253Z digest=sha256:65f4c1dec95d17d526ce4f36ea67b077e032c183750db21881fce0a0b23075bc

Observation 9b244e70-b932-4792-b083-a976e5b4c038 · inbound

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models cites this paper.

Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 2025

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unresolved
no resolver link, observed 2026-08-02T23:16:36.535613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:16:36.535613Z digest=sha256:a4886694002f309a986f18c79b13187767444ca996122d4cc6e06d595886feb9

Observation 52430498-5737-4640-81de-ad8fcdc47690 · inbound

RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation cites this paper.

RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 52

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verified exact
arxiv_id, observed 2026-05-14T22:28:04.833354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T22:24:13.897439Z digest=sha256:17f2dabec2b3f0cdfc6d4a914ba2fe4431aa4067284f03752967e392b5d0282f

Observation a990da7c-ce50-4c1e-8864-67a0f1e2d993 · inbound

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs cites this paper.

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 14

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verified exact
arxiv_id, observed 2026-05-11T05:35:57.757351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T18:04:05.157103Z digest=sha256:0d9371d9233f2ee8bffca5cee855236a1b1303b7507c0d9fe8184eae8519a7a7

Observation 2f0a120d-992e-4529-b1ad-1ecd235e2b10 · inbound

Jailbreaking Large Language Models with Morality Attacks cites this paper.

Jailbreaking Large Language Models with Morality Attacks Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:21:27.025753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T06:17:14.242224Z digest=sha256:721bebf76150fb6047cfd405b42dfd0956f955018a4b665ef1fc44b756e7882b

Observation b829f9bb-64fd-49d5-ac99-66371fee3ea5 · inbound

Human-Guided Harm Recovery for Computer Use Agents cites this paper.

Human-Guided Harm Recovery for Computer Use Agents Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-11T12:06:02.872694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T04:12:02.341064Z digest=sha256:e75c50bececb9d038193a9e9078cb3cfa0fe10caf5206222c1745a99cc1f0b9c

Observation 6a392a02-df60-413f-a342-aa6f3fbdf70f · inbound

Human-Guided Harm Recovery for Computer Use Agents cites this paper.

Human-Guided Harm Recovery for Computer Use Agents Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-05T10:30:59.156865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-05T10:22:55.676716Z digest=sha256:71c26dcf6689e95730b209fc81d302af68a2f9a5b4b7f0c5bfe80f7eb9ccc65c

Observation efd652ae-1ba5-4907-97c9-2f8f71ce815d · inbound

AgentTrust: Runtime Safety Evaluation and Interception for AI Agent Tool Use cites this paper.

AgentTrust: Runtime Safety Evaluation and Interception for AI Agent Tool Use Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T17:26:07.011087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T17:34:11.020584Z digest=sha256:4dcd4a944bb4277bf6cea9f094f163c67f8e6aaff220a243b819e2357f6b69e4

Observation e2eb4062-4846-415d-b99b-9e7690c21da3 · inbound

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections cites this paper.

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 11

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verified exact
arxiv_id, observed 2026-07-01T14:45:49.563695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T20:16:13.413064Z digest=sha256:7d4d6486fbfa58b4430e4937b505d3fc41209faff4b6ddafbea2980252323a38

Observation 16f5f3fa-ce5c-4411-a7b3-11bf12a0c391 · inbound

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening cites this paper.

SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 20

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verified exact
arxiv_id, observed 2026-05-20T14:08:21.196129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T14:03:56.859481Z digest=sha256:6760739b9c7cfe0af4ad38cc418463b1f18f778e5d20445521994f4f2858028e

Observation 6b7f2b4c-9b57-4904-94dd-a40f890aade3 · inbound

DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs cites this paper.

DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T10:23:12.307541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T10:19:11.536555Z digest=sha256:4d804b196d5f9a7d207b2712b466973beda26e8573079dcb1355a6119cca7af3

Observation c42f1064-0c71-4f50-a029-964350980e60 · inbound

Benign Inputs, Harmful Outputs: Cross-Modal Jailbreaking via Distributed Semantic Recomposition cites this paper.

Benign Inputs, Harmful Outputs: Cross-Modal Jailbreaking via Distributed Semantic Recomposition Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 4

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verified exact
arxiv_id, observed 2026-07-01T23:26:23.274369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T14:17:52.902183Z digest=sha256:6fc411e24b1d9ae238a79a6dd2a62d03fc1916d72629248a600584f20802bf4b

Observation 143b6443-0812-475e-9e1a-27cdbd5ddecb · inbound

SentGuard: Sentence-Level Streaming Guardrails for Large Language Models cites this paper.

SentGuard: Sentence-Level Streaming Guardrails for Large Language Models Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 36

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metadata mismatch
arxiv_id, observed 2026-07-01T22:56:20.691442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T14:51:17.667213Z digest=sha256:6e23030fc0c17502f3efc4ba7592f8aa0f76baab2fd2552a38036b25e30b2ed3

Observation a5cf95bf-4101-4784-a745-27f5f4d0c2ae · inbound

What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks cites this paper.

What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 11

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verified exact
arxiv_id, observed 2026-07-03T01:47:31.661848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T16:18:01.850874Z digest=sha256:01746b1e2f663b7412c602ed5d2fd702489c33aba4b26bd6faafc063327b6653

Observation 2bc847a2-3b2d-4df4-aa9b-7dc56b2851fd · inbound

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety cites this paper.

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 2026-07-04T16:59:58.594811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T00:03:27.948225Z digest=sha256:1c15339f359b01ddd62e8c16e1256a9b30b352e25cb0b7a124fb9c636ae48bdf

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

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety cites this paper.

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T05:16:19.502837Z digest=sha256:17012b100e9b5687c985ff93ef59fbe0121f984b4715def40b9289e5fc969372

Observation 65a76c93-d42c-4124-aba2-602a70478aa8 · inbound

MIRAGE: Protecting against Malicious Image Editing via False Moderation cites this paper.

MIRAGE: Protecting against Malicious Image Editing via False Moderation Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 16

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verified exact
arxiv_id, observed 2026-07-04T15:09:54.627654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T01:52:12.291420Z digest=sha256:dd7ac47998e7125b6c825982a0f1a259d29e0a9fc56733ec935746924de3b806

Observation 610da550-8323-46f7-8fef-da5744b63825 · inbound

MIRAGE: Protecting against Malicious Image Editing via False Moderation cites this paper.

MIRAGE: Protecting against Malicious Image Editing via False Moderation Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:13:53.525339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T04:46:56.552601Z digest=sha256:b5a6634482ae3ea640cdd10246b60fb7fb3f54de2aa11fcc32cff2b3c08af15a

Observation 9345b635-596c-4853-aaa8-959e7a2ecb4c · inbound

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models cites this paper.

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:35:51.359552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-29T03:35:34.594617Z digest=sha256:dac91b8fa7d6f116323dee5dddefc0f5ce62a9fd0390f88734d1ae39757cbc1d

Observation 28875ef5-b675-4f81-9168-b8f8c73da195 · inbound

SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction cites this paper.

SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T23:03:12.035774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:03:12.035774Z digest=sha256:9a6e1111da38985f2a6c209586239ad2fa65c5f125b2ce269b3d5b920727facd

Observation 88504edd-9fff-482e-ba81-12a809bf8798 · inbound

When Are Reasoning-Based Guardrails Not Efficient? ResponseGuard: A Fast Vision-Language Guard for Real-Time Moderation cites this paper.

When Are Reasoning-Based Guardrails Not Efficient? ResponseGuard: A Fast Vision-Language Guard for Real-Time Moderation Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 2024

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unresolved
no resolver link, observed 2026-08-01T07:36:56.205558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:36:56.205558Z digest=sha256:e2c427f6a1ee853e5a247615fee6c92452c5c7ffdae99b6e51a722cbecc2aafc

Observation 11c983ec-144d-4b6a-a90e-7ba8182ad791 · inbound

Harm is not Universal: Community-Specific Toxicity Detection is Urgently Needed cites this paper.

Harm is not Universal: Community-Specific Toxicity Detection is Urgently Needed Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T09:24:20.410283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T09:24:20.410283Z digest=sha256:fb9a69025a700be7197c0fe39c3adcebc0d4473614c640fb6c0da065a4b952d5

Observation 27324d3e-51bd-489e-8c99-24bf9002c4bf · inbound

The Boy Who Cried Wolf: Adversarial Misclassification of Safe Inputs as Unsafe in Multimodal Guardrails cites this paper.

The Boy Who Cried Wolf: Adversarial Misclassification of Safe Inputs as Unsafe in Multimodal Guardrails Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 9

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unresolved
no resolver link, observed 2026-08-06T00:20:22.240423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:20:22.240423Z digest=sha256:e8b5b44bc9f3efdc11c3e216bc30818d4950aed13dea52b1986ccc3b5b919de8

Observation ee6d2054-32cc-419f-8e86-cdc0571d642c · inbound

MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration cites this paper.

MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 5

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unresolved
no resolver link, observed 2026-08-07T21:24:14.998324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:24:14.998324Z digest=sha256:5e9756296ba0d8e53432d0443a5575f64c3f9521b4735d6ec4730bc66d744774

Observation b1c98a0a-cdef-483a-947a-b337ca954661 · inbound

Whose Refusal Is It? The Unmeasured Contribution of Black-Box Multimodal Guardrails cites this paper.

Whose Refusal Is It? The Unmeasured Contribution of Black-Box Multimodal Guardrails Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 9

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unresolved
no resolver link, observed 2026-08-14T04:34:05.661690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:34:05.661690Z digest=sha256:4b897dc6e99311ce51f529f7a2f544399c0ec503a0e7f8ecd34b07f54d1a8eaa