Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T22:58:44.478077Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.06875.
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 2026-06-27T22:58:44.478077Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
19 of 19 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ef9b06b8-06ae-470c-8450-9c1190c339af · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Open Problems in Machine Unlearning for AI Safety
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 70f4fe7d-fcdb-47e8-b603-9e0ae03bdac1 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Trce: Towards reliable malicious concept erasure in text-to-image diffusion models.ArXiv, abs/2503.07389
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 188fe6ad-d9bb-450a-beab-bfaf3968d3d9 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Prompt- ing4debugging: Red-teaming text-to-image diffusion models by finding problematic prompts.ArXiv, abs/2309.06135
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 794bcc62-c9f1-4579-80ab-8a00799ac7e8 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e54077ec-8225-47a6-a40f-b0fb01065343 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows ImagenHub: Standardizing the evaluation of conditional image generation models
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6500d7b3-fb0f-4aac-8276-d4f930ddaa2c · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e6512a7e-652c-43cd-876e-fb27da12b5e9 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Crafting papers on machine learning
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7a2adca-925c-476f-93f9-7b936434cf40 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fb6c547b-cb61-4efb-85ce-5c022e091fdf · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Modifier unlocked: Jailbreaking text-to-image models through prompts
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0aae102-4c55-4dcd-9dc0-ad9e95f4b6b3 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ce4804bc-5012-46ae-86b3-58ab0b04dd2b · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Red-Teaming the Stable Diffusion Safety Filter
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dbd587d5-1321-46ae-9c87-49aef88e8104 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ecf3e5b9-7738-4583-b242-d8ab161ff53c · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Restricting the Flow: Information Bottlenecks for Attribution
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c6c96902-ffd2-4bf5-97af-7ca9c8bea97f · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4750da9d-8f56-4c53-919b-9554b1f30c4d · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca61de98-64b9-43f3-bec3-57f5153404d1 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows Mmdt: Decoding the trustworthiness and safety of multi- modal foundation models
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d37031d1-782c-4990-b3d2-993bf8868bda · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows 19 Unified Safe Text-to-Image Synthesis and Image Editing in MM-DiTs Table 5.Representative prompt examples from Unsafe-1K
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e564671a-98d2-4b8f-96b4-9c791583e038 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows The RAB effectively identifies problematic prompts that bypass safety mechanisms, resulting in NSFW content generation
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 60e96dd9-ea72-4cde-a857-688ddb523eb6 · outbound
Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows These problematic prompts are intended to evaluate the concept removal performance of image generation models
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.