Paper Citation Record · LEDGER

LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2406.05113.

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

pith.paper-citation-record.v1
2406.05113 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:10:57.316005Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bbc6ae96-0e4f-402e-af3e-758fcf622e97 · inbound

Maya: An Instruction Finetuned Multilingual Multimodal Model cites this paper.

Maya: An Instruction Finetuned Multilingual Multimodal Model LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T19:10:57.316005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0cb7336-d5ba-4c1c-a06a-57782254d581 · inbound

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

MSTS: A Multimodal Safety Test Suite for Vision-Language Models LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T19:27:42.233091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0474d5b3-863c-4a49-a7c1-5f2231290c57 · inbound

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation cites this paper.

T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:05:50.627122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243f5364-7e02-40b1-b1ea-cd1dd083c11c · inbound

AIN: The Arabic INclusive Large Multimodal Model cites this paper.

AIN: The Arabic INclusive Large Multimodal Model LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T20:17:40.398779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52753e1b-331a-4687-84a4-fc9222d473af · inbound

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations cites this paper.

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:19.957624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafedff1-86aa-4ec7-a2ca-2309d30b53ac · inbound

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities cites this paper.

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:35.219871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8979830-9d36-44d0-be4c-f66261f68e20 · inbound

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation cites this paper.

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T12:54:34.226626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540f87a9-35af-4383-9208-eeeed394eed0 · inbound

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions cites this paper.

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T11:34:26.497339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f94a0d-0227-4c3d-b42e-7fcbf28916e3 · inbound

FlowGuard: Towards Lightweight In-Generation Safety Detection for Diffusion Models via Linear Latent Decoding cites this paper.

FlowGuard: Towards Lightweight In-Generation Safety Detection for Diffusion Models via Linear Latent Decoding LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:41:00.439685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c39690e-ae8d-4459-b311-9e753c45e115 · inbound

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

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:35:57.777754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d7ec5e62-c910-4fb4-9370-6eb1e3ac3e3f · inbound

RuleSafe-VL: Evaluating Rule-Conditioned Decision Reasoning in Vision-Language Content Moderation cites this paper.

RuleSafe-VL: Evaluating Rule-Conditioned Decision Reasoning in Vision-Language Content Moderation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:54.749457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9305d0d-53fb-4619-aa4e-119c433fc49a · inbound

Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing cites this paper.

Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:47:59.109689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0cfcab88-1ee3-4315-a626-d0f437dd48f9 · 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 LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:21.168576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34c4e562-ff15-4184-b339-7435dc746e8e · inbound

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South cites this paper.

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:08:06.997922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0318e3af-1e7d-410b-b95d-dfebacd98e90 · inbound

SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation cites this paper.

SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:12:25.156734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ee21c0a-455c-478e-9c0e-ca1e3695ab01 · 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 LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:59:58.612151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4626475-3061-44a2-be95-e437be42728d · 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 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 2026-08-14T06:32:32.682623+00:00.

Observation 5a42f4b2-dc0d-4911-b0a3-79ce804398fb · inbound

PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails cites this paper.

PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T01:57:49.487302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13954728-6ead-44de-afac-3b708726e0e9 · inbound

Multimodal Reward Hacking in Reinforcement Learning cites this paper.

Multimodal Reward Hacking in Reinforcement Learning LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T02:39:02.891861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e9c64d-93e5-40cb-8bae-88ef7353e82a · inbound

Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation cites this paper.

Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:14.769734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a6a7759-d4c5-4a67-aac8-59d0b1461c71 · 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 LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 175

Resolution: unresolved; no resolver link, observed 2026-07-31T09:24:20.791375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15394c0-004d-4f51-80a4-43e0c54f59db · inbound

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation cites this paper.

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-31T15:15:03.242534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.