Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:40:05.603091Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.21637.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:40:05.603091Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4a0c7dc7-677c-4d45-a9c9-fb42d716b577 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
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Observation 938a2716-745f-4b1a-b0f4-3d8142792ad8 · outbound
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Observation 803356ae-3ef4-408b-b5b6-d0fbab2119f8 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
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Observation 526e14be-75b3-451e-8b68-4263e38ed3eb · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
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Observation 7c73763f-957a-4d54-85d8-a689f283055f · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Salman Asif, Yue Dong, Amit K
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Observation c0c4f28f-30e9-41d5-bc5b-ff469419415a · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
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Observation d4b35756-10ae-46aa-82b6-46ff3afcef04 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
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Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Glass, and Pengcheng He
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Observation 7c89d25c-3640-465d-bbf9-8259c92528ba · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
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Observation 74f63d58-2ab6-4783-8d57-c8b8257f9d22 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
Reference 10
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Observation 4f27bd73-024c-4e13-adfe-8123bb08ea74 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Reference 11
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Observation 86af052c-fb95-4997-8429-6b7d3904fb44 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Kwok, and Yu Zhang
Reference 12
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Observation e16a3006-54bc-4432-96cc-df5bf4579552 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 13
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Observation 3815615d-fdc9-4733-8737-0c8df6ac1377 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 14
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Observation 9874144d-d649-43c9-bfbf-92aec1c819d2 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 15
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Observation 5fc42ab4-9d73-4090-8170-d4529d5ba78d · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update
Reference 16
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Observation b40221bc-1774-4a03-a8b7-f0af564c0ee7 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 18
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Observation 2fe66758-2e08-4023-9304-f9d39f6255da · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 19
Source-reported events for the cited work
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Observation 146d9c65-fcc8-43b8-b978-2a0ee4f497db · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 20
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Observation 575f0771-f462-46bb-b03e-c85aa6957b2e · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Visual Instruction Tuning
Reference 21
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Observation 71e91868-e412-4143-9209-bc4ce3002378 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 22
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Observation 0326b151-7096-46de-a7f0-895506175556 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 23
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Observation 816a0154-03de-4c6e-9bd8-0b9b3ca1bdc4 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 24
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Observation 27cfc3f2-aa59-4c32-9679-82333b3d1c35 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 25
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Observation 4c76b68e-ddb7-4c99-8ef0-83cc44840e74 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Jailbreaking Attack against Multimodal Large Language Model
Reference 26
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Observation e3700104-9b19-4052-8196-7c2dbfffa875 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 27
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Observation ec82d53b-dd14-45c5-94e2-0d1aadb7788f · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 29
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Observation 16dbfaca-c2c4-424d-8a20-4a383181cbb5 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 30
Source-reported events for the cited work
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Observation f48ae587-50f3-421a-928a-4dc812861317 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 31
Source-reported events for the cited work
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Observation 8fdee924-2895-4cb7-85ea-706ee368dccf · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Qwen2.5 Technical Report
Reference 32
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Observation 7f4a6df9-93f5-4c46-9779-9b078ef59303 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 33
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Observation a07ae45f-5f47-45cb-8b96-38a37e4ef862 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 34
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Observation 08fbaf68-d377-411b-bcb9-503108e66b55 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 35
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Observation 5464ffc9-266b-43db-9ef4-199cb9e1b7ad · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 36
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Observation 6f054da8-5404-4e99-9198-5b39f60e9c16 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 37
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Observation 67415a2a-5c38-40df-ae47-315242948a31 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 38
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Observation 1185139d-531f-4366-b4e3-22147ff1372e · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 39
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Observation 155fbf20-a220-44b3-a42d-44e37624ee24 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 40
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Observation 19a0bbfc-2f30-4a17-8ac2-af495c3fcdda · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 41
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Observation 82792e81-439f-46ea-9e4d-0b1f1fd8e573 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 42
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Observation 75c6598e-4096-4d67-8213-229f86126856 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Cross-modal Information Flow in Multimodal Large Language Models
Reference 43
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Observation 234a67b6-96e6-4162-9b9b-5279aae10c1b · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 44
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Observation 58e7eb06-5295-4bff-a282-3edde6c5ad4a · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
Reference 45
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Observation c91a4a47-1d1b-4d1f-ae9b-22f9a910e848 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 46
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Observation abf8391a-4cc4-47bd-bed3-db3c01ec31ea · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models
Reference 47
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Observation d08e589e-5f89-48e7-8cf3-e6ba1c7f4431 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 48
Source-reported events for the cited work
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Observation d13e2e16-7661-460a-a80a-41a83e2618d3 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 49
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Observation 5562b0a3-4e15-4b4e-ac3b-1cc377ea9bf3 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 50
Source-reported events for the cited work
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Observation 3ce53492-61fe-4e05-95c4-dcd88a2c16b2 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Unresolved cited work
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 268f75e4-1549-4b9f-a7a7-ca6718a2f04d · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Representation Engineering: A Top-Down Approach to AI Transparency
Reference 2023
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Observation 47412348-8486-4c2d-9dc9-6b1e15be97fe · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Reference 2024
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7ddbf9bc-4e04-43db-921b-85cfde575da9 · outbound
Self-Aware Safety Augmentation: Leveraging Internal Semantic Understanding to Enhance Safety in Vision-Language Models Towards Interpreting Visual Information Processing in Vision-Language Models
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.